chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 12:12:13 +08:00
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# Builtin Browser in Crawl4AI
This document explains the builtin browser feature in Crawl4AI and how to use it effectively.
## What is the Builtin Browser?
The builtin browser is a persistent Chrome instance that Crawl4AI manages for you. It runs in the background and can be used by multiple crawling operations, eliminating the need to start and stop browsers for each crawl.
Benefits include:
- **Faster startup times** - The browser is already running, so your scripts start faster
- **Shared resources** - All your crawling scripts can use the same browser instance
- **Simplified management** - No need to worry about CDP URLs or browser processes
- **Persistent cookies and sessions** - Browser state persists between script runs
- **Less resource usage** - Only one browser instance for multiple scripts
## Using the Builtin Browser
### In Python Code
Using the builtin browser in your code is simple:
```python
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
# Create browser config with builtin mode
browser_config = BrowserConfig(
browser_mode="builtin", # This is the key setting!
headless=True # Can be headless or not
)
# Create the crawler
crawler = AsyncWebCrawler(config=browser_config)
# Use it - no need to explicitly start()
result = await crawler.arun("https://example.com")
```
Key points:
1. Set `browser_mode="builtin"` in your BrowserConfig
2. No need for explicit `start()` call - the crawler will automatically connect to the builtin browser
3. No need to use a context manager or call `close()` - the browser stays running
### Via CLI
The CLI provides commands to manage the builtin browser:
```bash
# Start the builtin browser
crwl browser start
# Check its status
crwl browser status
# Open a visible window to see what the browser is doing
crwl browser view --url https://example.com
# Stop it when no longer needed
crwl browser stop
# Restart with different settings
crwl browser restart --no-headless
```
When crawling via CLI, simply add the builtin browser mode:
```bash
crwl https://example.com -b "browser_mode=builtin"
```
## How It Works
1. When a crawler with `browser_mode="builtin"` is created:
- It checks if a builtin browser is already running
- If not, it automatically launches one
- It connects to the browser via CDP (Chrome DevTools Protocol)
2. The browser process continues running after your script exits
- This means it's ready for the next crawl
- You can manage it via the CLI commands
3. During installation, Crawl4AI attempts to create a builtin browser automatically
## Example
See the [builtin_browser_example.py](builtin_browser_example.py) file for a complete example.
Run it with:
```bash
python builtin_browser_example.py
```
## When to Use
The builtin browser is ideal for:
- Scripts that run frequently
- Development and testing workflows
- Applications that need to minimize startup time
- Systems where you want to manage browser instances centrally
You might not want to use it when:
- Running one-off scripts
- When you need different browser configurations for different tasks
- In environments where persistent processes are not allowed
## Troubleshooting
If you encounter issues:
1. Check the browser status:
```
crwl browser status
```
2. Try restarting it:
```
crwl browser restart
```
3. If problems persist, stop it and let Crawl4AI start a fresh one:
```
crwl browser stop
```
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# Adaptive Crawling Examples
This directory contains examples demonstrating various aspects of Crawl4AI's Adaptive Crawling feature.
## Examples Overview
### 1. `basic_usage.py`
- Simple introduction to adaptive crawling
- Uses default statistical strategy
- Shows how to get crawl statistics and relevant content
### 2. `embedding_strategy.py` ⭐ NEW
- Demonstrates the embedding-based strategy for semantic understanding
- Shows query expansion and irrelevance detection
- Includes configuration for both local and API-based embeddings
### 3. `embedding_vs_statistical.py` ⭐ NEW
- Direct comparison between statistical and embedding strategies
- Helps you choose the right strategy for your use case
- Shows performance and accuracy trade-offs
### 4. `embedding_configuration.py` ⭐ NEW
- Advanced configuration options for embedding strategy
- Parameter tuning guide for different scenarios
- Examples for research, exploration, and quality-focused crawling
### 5. `advanced_configuration.py`
- Shows various configuration options for both strategies
- Demonstrates threshold tuning and performance optimization
### 6. `custom_strategies.py`
- How to implement your own crawling strategy
- Extends the base CrawlStrategy class
- Advanced use case for specialized requirements
### 7. `export_import_kb.py`
- Export crawled knowledge base to JSONL
- Import and continue crawling from saved state
- Useful for building persistent knowledge bases
## Quick Start
For your first adaptive crawling experience, run:
```bash
python basic_usage.py
```
To try the new embedding strategy with semantic understanding:
```bash
python embedding_strategy.py
```
To compare strategies and see which works best for your use case:
```bash
python embedding_vs_statistical.py
```
## Strategy Selection Guide
### Use Statistical Strategy (Default) When:
- Working with technical documentation
- Queries contain specific terms or code
- Speed is critical
- No API access available
### Use Embedding Strategy When:
- Queries are conceptual or ambiguous
- Need semantic understanding beyond exact matches
- Want to detect irrelevant content
- Working with diverse content sources
## Requirements
- Crawl4AI installed
- For embedding strategy with local models: `sentence-transformers`
- For embedding strategy with OpenAI: Set `OPENAI_API_KEY` environment variable
## Learn More
- [Adaptive Crawling Documentation](https://docs.crawl4ai.com/core/adaptive-crawling/)
- [Mathematical Framework](https://github.com/unclecode/crawl4ai/blob/main/PROGRESSIVE_CRAWLING.md)
- [Blog: The Adaptive Crawling Revolution](https://docs.crawl4ai.com/blog/adaptive-crawling-revolution/)
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"""
Advanced Adaptive Crawling Configuration
This example demonstrates all configuration options available for adaptive crawling,
including threshold tuning, persistence, and custom parameters.
"""
import asyncio
from pathlib import Path
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
async def main():
"""Demonstrate advanced configuration options"""
# Example 1: Custom thresholds for different use cases
print("="*60)
print("EXAMPLE 1: Custom Confidence Thresholds")
print("="*60)
# High-precision configuration (exhaustive crawling)
high_precision_config = AdaptiveConfig(
confidence_threshold=0.9, # Very high confidence required
max_pages=50, # Allow more pages
top_k_links=5, # Follow more links per page
min_gain_threshold=0.02 # Lower threshold to continue
)
# Balanced configuration (default use case)
balanced_config = AdaptiveConfig(
confidence_threshold=0.7, # Moderate confidence
max_pages=20, # Reasonable limit
top_k_links=3, # Moderate branching
min_gain_threshold=0.05 # Standard gain threshold
)
# Quick exploration configuration
quick_config = AdaptiveConfig(
confidence_threshold=0.5, # Lower confidence acceptable
max_pages=10, # Strict limit
top_k_links=2, # Minimal branching
min_gain_threshold=0.1 # High gain required
)
async with AsyncWebCrawler(verbose=False) as crawler:
# Test different configurations
for config_name, config in [
("High Precision", high_precision_config),
("Balanced", balanced_config),
("Quick Exploration", quick_config)
]:
print(f"\nTesting {config_name} configuration...")
adaptive = AdaptiveCrawler(crawler, config=config)
result = await adaptive.digest(
start_url="https://httpbin.org",
query="http headers authentication"
)
print(f" - Pages crawled: {len(result.crawled_urls)}")
print(f" - Confidence achieved: {adaptive.confidence:.2%}")
print(f" - Coverage score: {adaptive.coverage_stats['coverage']:.2f}")
# Example 2: Persistence and state management
print("\n" + "="*60)
print("EXAMPLE 2: State Persistence")
print("="*60)
state_file = "crawl_state_demo.json"
# Configuration with persistence
persistent_config = AdaptiveConfig(
confidence_threshold=0.8,
max_pages=30,
save_state=True, # Enable auto-save
state_path=state_file # Specify save location
)
async with AsyncWebCrawler(verbose=False) as crawler:
# First crawl - will be interrupted
print("\nStarting initial crawl (will interrupt after 5 pages)...")
interrupt_config = AdaptiveConfig(
confidence_threshold=0.8,
max_pages=5, # Artificially low to simulate interruption
save_state=True,
state_path=state_file
)
adaptive = AdaptiveCrawler(crawler, config=interrupt_config)
result1 = await adaptive.digest(
start_url="https://docs.python.org/3/",
query="exception handling try except finally"
)
print(f"First crawl completed: {len(result1.crawled_urls)} pages")
print(f"Confidence reached: {adaptive.confidence:.2%}")
# Resume crawl with higher page limit
print("\nResuming crawl from saved state...")
resume_config = AdaptiveConfig(
confidence_threshold=0.8,
max_pages=20, # Increase limit
save_state=True,
state_path=state_file
)
adaptive2 = AdaptiveCrawler(crawler, config=resume_config)
result2 = await adaptive2.digest(
start_url="https://docs.python.org/3/",
query="exception handling try except finally",
resume_from=state_file
)
print(f"Resumed crawl completed: {len(result2.crawled_urls)} total pages")
print(f"Final confidence: {adaptive2.confidence:.2%}")
# Clean up
Path(state_file).unlink(missing_ok=True)
# Example 3: Link selection strategies
print("\n" + "="*60)
print("EXAMPLE 3: Link Selection Strategies")
print("="*60)
# Conservative link following
conservative_config = AdaptiveConfig(
confidence_threshold=0.7,
max_pages=15,
top_k_links=1, # Only follow best link
min_gain_threshold=0.15 # High threshold
)
# Aggressive link following
aggressive_config = AdaptiveConfig(
confidence_threshold=0.7,
max_pages=15,
top_k_links=10, # Follow many links
min_gain_threshold=0.01 # Very low threshold
)
async with AsyncWebCrawler(verbose=False) as crawler:
for strategy_name, config in [
("Conservative", conservative_config),
("Aggressive", aggressive_config)
]:
print(f"\n{strategy_name} link selection:")
adaptive = AdaptiveCrawler(crawler, config=config)
result = await adaptive.digest(
start_url="https://httpbin.org",
query="api endpoints"
)
# Analyze crawl pattern
print(f" - Total pages: {len(result.crawled_urls)}")
print(f" - Unique domains: {len(set(url.split('/')[2] for url in result.crawled_urls))}")
print(f" - Max depth reached: {max(url.count('/') for url in result.crawled_urls) - 2}")
# Show saturation trend
if hasattr(result, 'new_terms_history') and result.new_terms_history:
print(f" - New terms discovered: {result.new_terms_history[:5]}...")
print(f" - Saturation trend: {'decreasing' if result.new_terms_history[-1] < result.new_terms_history[0] else 'increasing'}")
# Example 4: Monitoring crawl progress
print("\n" + "="*60)
print("EXAMPLE 4: Progress Monitoring")
print("="*60)
# Configuration with detailed monitoring
monitor_config = AdaptiveConfig(
confidence_threshold=0.75,
max_pages=10,
top_k_links=3
)
async with AsyncWebCrawler(verbose=False) as crawler:
adaptive = AdaptiveCrawler(crawler, config=monitor_config)
# Start crawl
print("\nMonitoring crawl progress...")
result = await adaptive.digest(
start_url="https://httpbin.org",
query="http methods headers"
)
# Detailed statistics
print("\nDetailed crawl analysis:")
adaptive.print_stats(detailed=True)
# Export for analysis
print("\nExporting knowledge base for external analysis...")
adaptive.export_knowledge_base("knowledge_export_demo.jsonl")
print("Knowledge base exported to: knowledge_export_demo.jsonl")
# Show sample of exported data
with open("knowledge_export_demo.jsonl", 'r') as f:
first_line = f.readline()
print(f"Sample export: {first_line[:100]}...")
# Clean up
Path("knowledge_export_demo.jsonl").unlink(missing_ok=True)
if __name__ == "__main__":
asyncio.run(main())
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"""
Basic Adaptive Crawling Example
This example demonstrates the simplest use case of adaptive crawling:
finding information about a specific topic and knowing when to stop.
"""
import asyncio
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler
async def main():
"""Basic adaptive crawling example"""
# Initialize the crawler
async with AsyncWebCrawler(verbose=True) as crawler:
# Create an adaptive crawler with default settings (statistical strategy)
adaptive = AdaptiveCrawler(crawler)
# Note: You can also use embedding strategy for semantic understanding:
# from crawl4ai import AdaptiveConfig
# config = AdaptiveConfig(strategy="embedding")
# adaptive = AdaptiveCrawler(crawler, config)
# Start adaptive crawling
print("Starting adaptive crawl for Python async programming information...")
result = await adaptive.digest(
start_url="https://docs.python.org/3/library/asyncio.html",
query="async await context managers coroutines"
)
# Display crawl statistics
print("\n" + "="*50)
print("CRAWL STATISTICS")
print("="*50)
adaptive.print_stats(detailed=False)
# Get the most relevant content found
print("\n" + "="*50)
print("MOST RELEVANT PAGES")
print("="*50)
relevant_pages = adaptive.get_relevant_content(top_k=5)
for i, page in enumerate(relevant_pages, 1):
print(f"\n{i}. {page['url']}")
print(f" Relevance Score: {page['score']:.2%}")
# Show a snippet of the content
content = page['content'] or ""
if content:
snippet = content[:200].replace('\n', ' ')
if len(content) > 200:
snippet += "..."
print(f" Preview: {snippet}")
# Show final confidence
print(f"\n{'='*50}")
print(f"Final Confidence: {adaptive.confidence:.2%}")
print(f"Total Pages Crawled: {len(result.crawled_urls)}")
print(f"Knowledge Base Size: {len(adaptive.state.knowledge_base)} documents")
# Example: Check if we can answer specific questions
print(f"\n{'='*50}")
print("INFORMATION SUFFICIENCY CHECK")
print(f"{'='*50}")
if adaptive.confidence >= 0.8:
print("✓ High confidence - can answer detailed questions about async Python")
elif adaptive.confidence >= 0.6:
print("~ Moderate confidence - can answer basic questions")
else:
print("✗ Low confidence - need more information")
if __name__ == "__main__":
asyncio.run(main())
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"""
Custom Adaptive Crawling Strategies
This example demonstrates how to implement custom scoring strategies
for domain-specific crawling needs.
"""
import asyncio
import re
from typing import List, Dict, Set
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
from crawl4ai.adaptive_crawler import CrawlState, Link
import math
class APIDocumentationStrategy:
"""
Custom strategy optimized for API documentation crawling.
Prioritizes endpoint references, code examples, and parameter descriptions.
"""
def __init__(self):
# Keywords that indicate high-value API documentation
self.api_keywords = {
'endpoint', 'request', 'response', 'parameter', 'authentication',
'header', 'body', 'query', 'path', 'method', 'get', 'post', 'put',
'delete', 'patch', 'status', 'code', 'example', 'curl', 'python'
}
# URL patterns that typically contain API documentation
self.valuable_patterns = [
r'/api/',
r'/reference/',
r'/endpoints?/',
r'/methods?/',
r'/resources?/'
]
# Patterns to avoid
self.avoid_patterns = [
r'/blog/',
r'/news/',
r'/about/',
r'/contact/',
r'/legal/'
]
def score_link(self, link: Link, query: str, state: CrawlState) -> float:
"""Custom link scoring for API documentation"""
score = 1.0
url = link.href.lower()
# Boost API-related URLs
for pattern in self.valuable_patterns:
if re.search(pattern, url):
score *= 2.0
break
# Reduce score for non-API content
for pattern in self.avoid_patterns:
if re.search(pattern, url):
score *= 0.1
break
# Boost if preview contains API keywords
if link.text:
preview_lower = link.text.lower()
keyword_count = sum(1 for kw in self.api_keywords if kw in preview_lower)
score *= (1 + keyword_count * 0.2)
# Prioritize shallow URLs (likely overview pages)
depth = url.count('/') - 2 # Subtract protocol slashes
if depth <= 3:
score *= 1.5
elif depth > 6:
score *= 0.5
return score
def calculate_api_coverage(self, state: CrawlState, query: str) -> Dict[str, float]:
"""Calculate specialized coverage metrics for API documentation"""
metrics = {
'endpoint_coverage': 0.0,
'example_coverage': 0.0,
'parameter_coverage': 0.0
}
# Analyze knowledge base for API-specific content
endpoint_patterns = [r'GET\s+/', r'POST\s+/', r'PUT\s+/', r'DELETE\s+/']
example_patterns = [r'```\w+', r'curl\s+-', r'import\s+requests']
param_patterns = [r'param(?:eter)?s?\s*:', r'required\s*:', r'optional\s*:']
total_docs = len(state.knowledge_base)
if total_docs == 0:
return metrics
docs_with_endpoints = 0
docs_with_examples = 0
docs_with_params = 0
for doc in state.knowledge_base:
content = doc.markdown.raw_markdown if hasattr(doc, 'markdown') else str(doc)
# Check for endpoints
if any(re.search(pattern, content, re.IGNORECASE) for pattern in endpoint_patterns):
docs_with_endpoints += 1
# Check for examples
if any(re.search(pattern, content, re.IGNORECASE) for pattern in example_patterns):
docs_with_examples += 1
# Check for parameters
if any(re.search(pattern, content, re.IGNORECASE) for pattern in param_patterns):
docs_with_params += 1
metrics['endpoint_coverage'] = docs_with_endpoints / total_docs
metrics['example_coverage'] = docs_with_examples / total_docs
metrics['parameter_coverage'] = docs_with_params / total_docs
return metrics
class ResearchPaperStrategy:
"""
Strategy optimized for crawling research papers and academic content.
Prioritizes citations, abstracts, and methodology sections.
"""
def __init__(self):
self.academic_keywords = {
'abstract', 'introduction', 'methodology', 'results', 'conclusion',
'references', 'citation', 'paper', 'study', 'research', 'analysis',
'hypothesis', 'experiment', 'findings', 'doi'
}
self.citation_patterns = [
r'\[\d+\]', # [1] style citations
r'\(\w+\s+\d{4}\)', # (Author 2024) style
r'doi:\s*\S+', # DOI references
]
def calculate_academic_relevance(self, content: str, query: str) -> float:
"""Calculate relevance score for academic content"""
score = 0.0
content_lower = content.lower()
# Check for academic keywords
keyword_matches = sum(1 for kw in self.academic_keywords if kw in content_lower)
score += keyword_matches * 0.1
# Check for citations
citation_count = sum(
len(re.findall(pattern, content))
for pattern in self.citation_patterns
)
score += min(citation_count * 0.05, 1.0) # Cap at 1.0
# Check for query terms in academic context
query_terms = query.lower().split()
for term in query_terms:
# Boost if term appears near academic keywords
for keyword in ['abstract', 'conclusion', 'results']:
if keyword in content_lower:
section = content_lower[content_lower.find(keyword):content_lower.find(keyword) + 500]
if term in section:
score += 0.2
return min(score, 2.0) # Cap total score
async def demo_custom_strategies():
"""Demonstrate custom strategy usage"""
# Example 1: API Documentation Strategy
print("="*60)
print("EXAMPLE 1: Custom API Documentation Strategy")
print("="*60)
api_strategy = APIDocumentationStrategy()
async with AsyncWebCrawler() as crawler:
# Standard adaptive crawler
config = AdaptiveConfig(
confidence_threshold=0.8,
max_pages=15
)
adaptive = AdaptiveCrawler(crawler, config)
# Override link scoring with custom strategy
original_rank_links = adaptive._rank_links
def custom_rank_links(links, query, state):
# Apply custom scoring
scored_links = []
for link in links:
base_score = api_strategy.score_link(link, query, state)
scored_links.append((link, base_score))
# Sort by score
scored_links.sort(key=lambda x: x[1], reverse=True)
return [link for link, _ in scored_links[:config.top_k_links]]
adaptive._rank_links = custom_rank_links
# Crawl API documentation
print("\nCrawling API documentation with custom strategy...")
state = await adaptive.digest(
start_url="https://httpbin.org",
query="api endpoints authentication headers"
)
# Calculate custom metrics
api_metrics = api_strategy.calculate_api_coverage(state, "api endpoints")
print(f"\nResults:")
print(f"Pages crawled: {len(state.crawled_urls)}")
print(f"Confidence: {adaptive.confidence:.2%}")
print(f"\nAPI-Specific Metrics:")
print(f" - Endpoint coverage: {api_metrics['endpoint_coverage']:.2%}")
print(f" - Example coverage: {api_metrics['example_coverage']:.2%}")
print(f" - Parameter coverage: {api_metrics['parameter_coverage']:.2%}")
# Example 2: Combined Strategy
print("\n" + "="*60)
print("EXAMPLE 2: Hybrid Strategy Combining Multiple Approaches")
print("="*60)
class HybridStrategy:
"""Combines multiple strategies with weights"""
def __init__(self):
self.api_strategy = APIDocumentationStrategy()
self.research_strategy = ResearchPaperStrategy()
self.weights = {
'api': 0.7,
'research': 0.3
}
def score_content(self, content: str, query: str) -> float:
# Get scores from each strategy
api_score = self._calculate_api_score(content, query)
research_score = self.research_strategy.calculate_academic_relevance(content, query)
# Weighted combination
total_score = (
api_score * self.weights['api'] +
research_score * self.weights['research']
)
return total_score
def _calculate_api_score(self, content: str, query: str) -> float:
# Simplified API scoring based on keyword presence
content_lower = content.lower()
api_keywords = self.api_strategy.api_keywords
keyword_count = sum(1 for kw in api_keywords if kw in content_lower)
return min(keyword_count * 0.1, 2.0)
hybrid_strategy = HybridStrategy()
async with AsyncWebCrawler() as crawler:
adaptive = AdaptiveCrawler(crawler)
# Crawl with hybrid scoring
print("\nTesting hybrid strategy on technical documentation...")
state = await adaptive.digest(
start_url="https://docs.python.org/3/library/asyncio.html",
query="async await coroutines api"
)
# Analyze results with hybrid strategy
print(f"\nHybrid Strategy Analysis:")
total_score = 0
for doc in adaptive.get_relevant_content(top_k=5):
content = doc['content'] or ""
score = hybrid_strategy.score_content(content, "async await api")
total_score += score
print(f" - {doc['url'][:50]}... Score: {score:.2f}")
print(f"\nAverage hybrid score: {total_score/5:.2f}")
async def demo_performance_optimization():
"""Demonstrate performance optimization with custom strategies"""
print("\n" + "="*60)
print("EXAMPLE 3: Performance-Optimized Strategy")
print("="*60)
class PerformanceOptimizedStrategy:
"""Strategy that balances thoroughness with speed"""
def __init__(self):
self.url_cache: Set[str] = set()
self.domain_scores: Dict[str, float] = {}
def should_crawl_domain(self, url: str) -> bool:
"""Implement domain-level filtering"""
domain = url.split('/')[2] if url.startswith('http') else url
# Skip if we've already crawled many pages from this domain
domain_count = sum(1 for cached in self.url_cache if domain in cached)
if domain_count > 5:
return False
# Skip low-scoring domains
if domain in self.domain_scores and self.domain_scores[domain] < 0.3:
return False
return True
def update_domain_score(self, url: str, relevance: float):
"""Track domain-level performance"""
domain = url.split('/')[2] if url.startswith('http') else url
if domain not in self.domain_scores:
self.domain_scores[domain] = relevance
else:
# Moving average
self.domain_scores[domain] = (
0.7 * self.domain_scores[domain] + 0.3 * relevance
)
perf_strategy = PerformanceOptimizedStrategy()
async with AsyncWebCrawler() as crawler:
config = AdaptiveConfig(
confidence_threshold=0.7,
max_pages=10,
top_k_links=2 # Fewer links for speed
)
adaptive = AdaptiveCrawler(crawler, config)
# Track performance
import time
start_time = time.time()
state = await adaptive.digest(
start_url="https://httpbin.org",
query="http methods headers"
)
elapsed = time.time() - start_time
print(f"\nPerformance Results:")
print(f" - Time elapsed: {elapsed:.2f} seconds")
print(f" - Pages crawled: {len(state.crawled_urls)}")
print(f" - Pages per second: {len(state.crawled_urls)/elapsed:.2f}")
print(f" - Final confidence: {adaptive.confidence:.2%}")
print(f" - Efficiency: {adaptive.confidence/len(state.crawled_urls):.2%} confidence per page")
async def main():
"""Run all demonstrations"""
try:
await demo_custom_strategies()
await demo_performance_optimization()
print("\n" + "="*60)
print("All custom strategy examples completed!")
print("="*60)
except Exception as e:
print(f"Error: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,206 @@
"""
Advanced Embedding Configuration Example
This example demonstrates all configuration options available for the
embedding strategy, including fine-tuning parameters for different use cases.
"""
import asyncio
import os
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
async def test_configuration(name: str, config: AdaptiveConfig, url: str, query: str):
"""Test a specific configuration"""
print(f"\n{'='*60}")
print(f"Configuration: {name}")
print(f"{'='*60}")
async with AsyncWebCrawler(verbose=False) as crawler:
adaptive = AdaptiveCrawler(crawler, config)
result = await adaptive.digest(start_url=url, query=query)
print(f"Pages crawled: {len(result.crawled_urls)}")
print(f"Final confidence: {adaptive.confidence:.1%}")
print(f"Stopped reason: {result.metrics.get('stopped_reason', 'max_pages')}")
if result.metrics.get('is_irrelevant', False):
print("⚠️ Query detected as irrelevant!")
return result
async def main():
"""Demonstrate various embedding configurations"""
print("EMBEDDING STRATEGY CONFIGURATION EXAMPLES")
print("=" * 60)
# Base URL and query for testing
test_url = "https://docs.python.org/3/library/asyncio.html"
# 1. Default Configuration
config_default = AdaptiveConfig(
strategy="embedding",
max_pages=10
)
await test_configuration(
"Default Settings",
config_default,
test_url,
"async programming patterns"
)
# 2. Strict Coverage Requirements
config_strict = AdaptiveConfig(
strategy="embedding",
max_pages=20,
# Stricter similarity requirements
embedding_k_exp=5.0, # Default is 3.0, higher = stricter
embedding_coverage_radius=0.15, # Default is 0.2, lower = stricter
# Higher validation threshold
embedding_validation_min_score=0.6, # Default is 0.3
# More query variations for better coverage
n_query_variations=15 # Default is 10
)
await test_configuration(
"Strict Coverage (Research/Academic)",
config_strict,
test_url,
"comprehensive guide async await"
)
# 3. Fast Exploration
config_fast = AdaptiveConfig(
strategy="embedding",
max_pages=10,
top_k_links=5, # Follow more links per page
# Relaxed requirements for faster convergence
embedding_k_exp=1.0, # Lower = more lenient
embedding_min_relative_improvement=0.05, # Stop earlier
# Lower quality thresholds
embedding_quality_min_confidence=0.5, # Display lower confidence
embedding_quality_max_confidence=0.85,
# Fewer query variations for speed
n_query_variations=5
)
await test_configuration(
"Fast Exploration (Quick Overview)",
config_fast,
test_url,
"async basics"
)
# 4. Irrelevance Detection Focus
config_irrelevance = AdaptiveConfig(
strategy="embedding",
max_pages=5,
# Aggressive irrelevance detection
embedding_min_confidence_threshold=0.2, # Higher threshold (default 0.1)
embedding_k_exp=5.0, # Strict similarity
# Quick stopping for irrelevant content
embedding_min_relative_improvement=0.15
)
await test_configuration(
"Irrelevance Detection",
config_irrelevance,
test_url,
"recipe for chocolate cake" # Irrelevant query
)
# 5. High-Quality Knowledge Base
config_quality = AdaptiveConfig(
strategy="embedding",
max_pages=30,
# Deduplication settings
embedding_overlap_threshold=0.75, # More aggressive deduplication
# Quality focus
embedding_validation_min_score=0.5,
embedding_quality_scale_factor=1.0, # Linear quality mapping
# Balanced parameters
embedding_k_exp=3.0,
embedding_nearest_weight=0.8, # Focus on best matches
embedding_top_k_weight=0.2
)
await test_configuration(
"High-Quality Knowledge Base",
config_quality,
test_url,
"asyncio advanced patterns best practices"
)
# 6. Custom Embedding Provider
if os.getenv('OPENAI_API_KEY'):
config_openai = AdaptiveConfig(
strategy="embedding",
max_pages=10,
# Use OpenAI embeddings
embedding_llm_config={
'provider': 'openai/text-embedding-3-small',
'api_token': os.getenv('OPENAI_API_KEY')
},
# OpenAI embeddings are high quality, can be stricter
embedding_k_exp=4.0,
n_query_variations=12
)
await test_configuration(
"OpenAI Embeddings",
config_openai,
test_url,
"event-driven architecture patterns"
)
# Parameter Guide
print("\n" + "="*60)
print("PARAMETER TUNING GUIDE")
print("="*60)
print("\n📊 Key Parameters and Their Effects:")
print("\n1. embedding_k_exp (default: 3.0)")
print(" - Lower (1-2): More lenient, faster convergence")
print(" - Higher (4-5): Stricter, better precision")
print("\n2. embedding_coverage_radius (default: 0.2)")
print(" - Lower (0.1-0.15): Requires closer matches")
print(" - Higher (0.25-0.3): Accepts broader matches")
print("\n3. n_query_variations (default: 10)")
print(" - Lower (5-7): Faster, less comprehensive")
print(" - Higher (15-20): Better coverage, slower")
print("\n4. embedding_min_confidence_threshold (default: 0.1)")
print(" - Set to 0.15-0.2 for aggressive irrelevance detection")
print(" - Set to 0.05 to crawl even barely relevant content")
print("\n5. embedding_validation_min_score (default: 0.3)")
print(" - Higher (0.5-0.6): Requires strong validation")
print(" - Lower (0.2): More permissive stopping")
print("\n💡 Tips:")
print("- For research: High k_exp, more variations, strict validation")
print("- For exploration: Low k_exp, fewer variations, relaxed thresholds")
print("- For quality: Focus on overlap_threshold and validation scores")
print("- For speed: Reduce variations, increase min_relative_improvement")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,109 @@
"""
Embedding Strategy Example for Adaptive Crawling
This example demonstrates how to use the embedding-based strategy
for semantic understanding and intelligent crawling.
"""
import asyncio
import os
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
async def main():
"""Demonstrate embedding strategy for adaptive crawling"""
# Configure embedding strategy
config = AdaptiveConfig(
strategy="embedding", # Use embedding strategy
embedding_model="sentence-transformers/all-MiniLM-L6-v2", # Default model
n_query_variations=10, # Generate 10 semantic variations
max_pages=15,
top_k_links=3,
min_gain_threshold=0.05,
# Embedding-specific parameters
embedding_k_exp=3.0, # Higher = stricter similarity requirements
embedding_min_confidence_threshold=0.1, # Stop if <10% relevant
embedding_validation_min_score=0.4 # Validation threshold
)
# Optional: Use OpenAI embeddings instead
if os.getenv('OPENAI_API_KEY'):
config.embedding_llm_config = {
'provider': 'openai/text-embedding-3-small',
'api_token': os.getenv('OPENAI_API_KEY')
}
print("Using OpenAI embeddings")
else:
print("Using sentence-transformers (local embeddings)")
async with AsyncWebCrawler(verbose=True) as crawler:
adaptive = AdaptiveCrawler(crawler, config)
# Test 1: Relevant query with semantic understanding
print("\n" + "="*50)
print("TEST 1: Semantic Query Understanding")
print("="*50)
result = await adaptive.digest(
start_url="https://docs.python.org/3/library/asyncio.html",
query="concurrent programming event-driven architecture"
)
print("\nQuery Expansion:")
print(f"Original query expanded to {len(result.expanded_queries)} variations")
for i, q in enumerate(result.expanded_queries[:3], 1):
print(f" {i}. {q}")
print(" ...")
print("\nResults:")
adaptive.print_stats(detailed=False)
# Test 2: Detecting irrelevant queries
print("\n" + "="*50)
print("TEST 2: Irrelevant Query Detection")
print("="*50)
# Reset crawler for new query
adaptive = AdaptiveCrawler(crawler, config)
result = await adaptive.digest(
start_url="https://docs.python.org/3/library/asyncio.html",
query="how to bake chocolate chip cookies"
)
if result.metrics.get('is_irrelevant', False):
print("\n✅ Successfully detected irrelevant query!")
print(f"Stopped after just {len(result.crawled_urls)} pages")
print(f"Reason: {result.metrics.get('stopped_reason', 'unknown')}")
else:
print("\n❌ Failed to detect irrelevance")
print(f"Final confidence: {adaptive.confidence:.1%}")
# Test 3: Semantic gap analysis
print("\n" + "="*50)
print("TEST 3: Semantic Gap Analysis")
print("="*50)
# Show how embedding strategy identifies gaps
adaptive = AdaptiveCrawler(crawler, config)
result = await adaptive.digest(
start_url="https://realpython.com",
query="python decorators advanced patterns"
)
print(f"\nSemantic gaps identified: {len(result.semantic_gaps)}")
print(f"Knowledge base embeddings shape: {result.kb_embeddings.shape if result.kb_embeddings is not None else 'None'}")
# Show coverage metrics specific to embedding strategy
print("\nEmbedding-specific metrics:")
print(f" Average best similarity: {result.metrics.get('avg_best_similarity', 0):.3f}")
print(f" Coverage score: {result.metrics.get('coverage_score', 0):.3f}")
print(f" Validation confidence: {result.metrics.get('validation_confidence', 0):.2%}")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,167 @@
"""
Comparison: Embedding vs Statistical Strategy
This example demonstrates the differences between statistical and embedding
strategies for adaptive crawling, showing when to use each approach.
"""
import asyncio
import time
import os
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
async def crawl_with_strategy(url: str, query: str, strategy: str, **kwargs):
"""Helper function to crawl with a specific strategy"""
config = AdaptiveConfig(
strategy=strategy,
max_pages=20,
top_k_links=3,
min_gain_threshold=0.05,
**kwargs
)
async with AsyncWebCrawler(verbose=False) as crawler:
adaptive = AdaptiveCrawler(crawler, config)
start_time = time.time()
result = await adaptive.digest(start_url=url, query=query)
elapsed = time.time() - start_time
return {
'result': result,
'crawler': adaptive,
'elapsed': elapsed,
'pages': len(result.crawled_urls),
'confidence': adaptive.confidence
}
async def main():
"""Compare embedding and statistical strategies"""
# Test scenarios
test_cases = [
{
'name': 'Technical Documentation (Specific Terms)',
'url': 'https://docs.python.org/3/library/asyncio.html',
'query': 'asyncio.create_task event_loop.run_until_complete'
},
{
'name': 'Conceptual Query (Semantic Understanding)',
'url': 'https://docs.python.org/3/library/asyncio.html',
'query': 'concurrent programming patterns'
},
{
'name': 'Ambiguous Query',
'url': 'https://realpython.com',
'query': 'python performance optimization'
}
]
# Configure embedding strategy
embedding_config = {}
if os.getenv('OPENAI_API_KEY'):
embedding_config['embedding_llm_config'] = {
'provider': 'openai/text-embedding-3-small',
'api_token': os.getenv('OPENAI_API_KEY')
}
for test in test_cases:
print("\n" + "="*70)
print(f"TEST: {test['name']}")
print(f"URL: {test['url']}")
print(f"Query: '{test['query']}'")
print("="*70)
# Run statistical strategy
print("\n📊 Statistical Strategy:")
stat_result = await crawl_with_strategy(
test['url'],
test['query'],
'statistical'
)
print(f" Pages crawled: {stat_result['pages']}")
print(f" Time taken: {stat_result['elapsed']:.2f}s")
print(f" Confidence: {stat_result['confidence']:.1%}")
print(f" Sufficient: {'Yes' if stat_result['crawler'].is_sufficient else 'No'}")
# Show term coverage
if hasattr(stat_result['result'], 'term_frequencies'):
query_terms = test['query'].lower().split()
covered = sum(1 for term in query_terms
if term in stat_result['result'].term_frequencies)
print(f" Term coverage: {covered}/{len(query_terms)} query terms found")
# Run embedding strategy
print("\n🧠 Embedding Strategy:")
emb_result = await crawl_with_strategy(
test['url'],
test['query'],
'embedding',
**embedding_config
)
print(f" Pages crawled: {emb_result['pages']}")
print(f" Time taken: {emb_result['elapsed']:.2f}s")
print(f" Confidence: {emb_result['confidence']:.1%}")
print(f" Sufficient: {'Yes' if emb_result['crawler'].is_sufficient else 'No'}")
# Show semantic understanding
if emb_result['result'].expanded_queries:
print(f" Query variations: {len(emb_result['result'].expanded_queries)}")
print(f" Semantic gaps: {len(emb_result['result'].semantic_gaps)}")
# Compare results
print("\n📈 Comparison:")
efficiency_diff = ((stat_result['pages'] - emb_result['pages']) /
stat_result['pages'] * 100) if stat_result['pages'] > 0 else 0
print(f" Efficiency: ", end="")
if efficiency_diff > 0:
print(f"Embedding used {efficiency_diff:.0f}% fewer pages")
else:
print(f"Statistical used {-efficiency_diff:.0f}% fewer pages")
print(f" Speed: ", end="")
if stat_result['elapsed'] < emb_result['elapsed']:
print(f"Statistical was {emb_result['elapsed']/stat_result['elapsed']:.1f}x faster")
else:
print(f"Embedding was {stat_result['elapsed']/emb_result['elapsed']:.1f}x faster")
print(f" Confidence difference: {abs(stat_result['confidence'] - emb_result['confidence'])*100:.0f} percentage points")
# Recommendation
print("\n💡 Recommendation:")
if 'specific' in test['name'].lower() or all(len(term) > 5 for term in test['query'].split()):
print(" → Statistical strategy is likely better for this use case (specific terms)")
elif 'conceptual' in test['name'].lower() or 'semantic' in test['name'].lower():
print(" → Embedding strategy is likely better for this use case (semantic understanding)")
else:
if emb_result['confidence'] > stat_result['confidence'] + 0.1:
print(" → Embedding strategy achieved significantly better understanding")
elif stat_result['elapsed'] < emb_result['elapsed'] / 2:
print(" → Statistical strategy is much faster with similar results")
else:
print(" → Both strategies performed similarly; choose based on your priorities")
# Summary recommendations
print("\n" + "="*70)
print("STRATEGY SELECTION GUIDE")
print("="*70)
print("\n✅ Use STATISTICAL strategy when:")
print(" - Queries contain specific technical terms")
print(" - Speed is critical")
print(" - No API access available")
print(" - Working with well-structured documentation")
print("\n✅ Use EMBEDDING strategy when:")
print(" - Queries are conceptual or ambiguous")
print(" - Semantic understanding is important")
print(" - Need to detect irrelevant content")
print(" - Working with diverse content sources")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,232 @@
"""
Knowledge Base Export and Import
This example demonstrates how to export crawled knowledge bases and
import them for reuse, sharing, or analysis.
"""
import asyncio
import json
from pathlib import Path
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig
async def build_knowledge_base():
"""Build a knowledge base about web technologies"""
print("="*60)
print("PHASE 1: Building Knowledge Base")
print("="*60)
async with AsyncWebCrawler(verbose=False) as crawler:
adaptive = AdaptiveCrawler(crawler)
# Crawl information about HTTP
print("\n1. Gathering HTTP protocol information...")
await adaptive.digest(
start_url="https://httpbin.org",
query="http methods headers status codes"
)
print(f" - Pages crawled: {len(adaptive.state.crawled_urls)}")
print(f" - Confidence: {adaptive.confidence:.2%}")
# Add more information about APIs
print("\n2. Adding API documentation knowledge...")
await adaptive.digest(
start_url="https://httpbin.org/anything",
query="rest api json response request"
)
print(f" - Total pages: {len(adaptive.state.crawled_urls)}")
print(f" - Confidence: {adaptive.confidence:.2%}")
# Export the knowledge base
export_path = "web_tech_knowledge.jsonl"
print(f"\n3. Exporting knowledge base to {export_path}")
adaptive.export_knowledge_base(export_path)
# Show export statistics
export_size = Path(export_path).stat().st_size / 1024
with open(export_path, 'r') as f:
line_count = sum(1 for _ in f)
print(f" - Exported {line_count} documents")
print(f" - File size: {export_size:.1f} KB")
return export_path
async def analyze_knowledge_base(kb_path):
"""Analyze the exported knowledge base"""
print("\n" + "="*60)
print("PHASE 2: Analyzing Exported Knowledge Base")
print("="*60)
# Read and analyze JSONL
documents = []
with open(kb_path, 'r') as f:
for line in f:
documents.append(json.loads(line))
print(f"\nKnowledge base contains {len(documents)} documents:")
# Analyze document properties
total_content_length = 0
urls_by_domain = {}
for doc in documents:
# Content analysis
content_length = len(doc.get('content', ''))
total_content_length += content_length
# URL analysis
url = doc.get('url', '')
domain = url.split('/')[2] if url.startswith('http') else 'unknown'
urls_by_domain[domain] = urls_by_domain.get(domain, 0) + 1
# Show sample document
if documents.index(doc) == 0:
print(f"\nSample document structure:")
print(f" - URL: {url}")
print(f" - Content length: {content_length} chars")
print(f" - Has metadata: {'metadata' in doc}")
print(f" - Has links: {len(doc.get('links', []))} links")
print(f" - Query: {doc.get('query', 'N/A')}")
print(f"\nContent statistics:")
print(f" - Total content: {total_content_length:,} characters")
print(f" - Average per document: {total_content_length/len(documents):,.0f} chars")
print(f"\nDomain distribution:")
for domain, count in urls_by_domain.items():
print(f" - {domain}: {count} pages")
async def import_and_continue():
"""Import a knowledge base and continue crawling"""
print("\n" + "="*60)
print("PHASE 3: Importing and Extending Knowledge Base")
print("="*60)
kb_path = "web_tech_knowledge.jsonl"
async with AsyncWebCrawler(verbose=False) as crawler:
# Create new adaptive crawler
adaptive = AdaptiveCrawler(crawler)
# Import existing knowledge base
print(f"\n1. Importing knowledge base from {kb_path}")
await adaptive.import_knowledge_base(kb_path)
print(f" - Imported {len(adaptive.state.knowledge_base)} documents")
print(f" - Existing URLs: {len(adaptive.state.crawled_urls)}")
# Check current state
print("\n2. Checking imported knowledge state:")
adaptive.print_stats(detailed=False)
# Continue crawling with new query
print("\n3. Extending knowledge with new query...")
await adaptive.digest(
start_url="https://httpbin.org/status/200",
query="error handling retry timeout"
)
print("\n4. Final knowledge base state:")
adaptive.print_stats(detailed=False)
# Export extended knowledge base
extended_path = "web_tech_knowledge_extended.jsonl"
adaptive.export_knowledge_base(extended_path)
print(f"\n5. Extended knowledge base exported to {extended_path}")
async def share_knowledge_bases():
"""Demonstrate sharing knowledge bases between projects"""
print("\n" + "="*60)
print("PHASE 4: Sharing Knowledge Between Projects")
print("="*60)
# Simulate two different projects
project_a_kb = "project_a_knowledge.jsonl"
project_b_kb = "project_b_knowledge.jsonl"
async with AsyncWebCrawler(verbose=False) as crawler:
# Project A: Security documentation
print("\n1. Project A: Building security knowledge...")
crawler_a = AdaptiveCrawler(crawler)
await crawler_a.digest(
start_url="https://httpbin.org/basic-auth/user/pass",
query="authentication security headers"
)
crawler_a.export_knowledge_base(project_a_kb)
print(f" - Exported {len(crawler_a.state.knowledge_base)} documents")
# Project B: API testing
print("\n2. Project B: Building testing knowledge...")
crawler_b = AdaptiveCrawler(crawler)
await crawler_b.digest(
start_url="https://httpbin.org/anything",
query="testing endpoints mocking"
)
crawler_b.export_knowledge_base(project_b_kb)
print(f" - Exported {len(crawler_b.state.knowledge_base)} documents")
# Merge knowledge bases
print("\n3. Merging knowledge bases...")
merged_crawler = AdaptiveCrawler(crawler)
# Import both knowledge bases
await merged_crawler.import_knowledge_base(project_a_kb)
initial_size = len(merged_crawler.state.knowledge_base)
await merged_crawler.import_knowledge_base(project_b_kb)
final_size = len(merged_crawler.state.knowledge_base)
print(f" - Project A documents: {initial_size}")
print(f" - Additional from Project B: {final_size - initial_size}")
print(f" - Total merged documents: {final_size}")
# Export merged knowledge
merged_kb = "merged_knowledge.jsonl"
merged_crawler.export_knowledge_base(merged_kb)
print(f"\n4. Merged knowledge base exported to {merged_kb}")
# Show combined coverage
print("\n5. Combined knowledge coverage:")
merged_crawler.print_stats(detailed=False)
async def main():
"""Run all examples"""
try:
# Build initial knowledge base
kb_path = await build_knowledge_base()
# Analyze the export
await analyze_knowledge_base(kb_path)
# Import and extend
await import_and_continue()
# Demonstrate sharing
await share_knowledge_bases()
print("\n" + "="*60)
print("All examples completed successfully!")
print("="*60)
finally:
# Clean up generated files
print("\nCleaning up generated files...")
for file in [
"web_tech_knowledge.jsonl",
"web_tech_knowledge_extended.jsonl",
"project_a_knowledge.jsonl",
"project_b_knowledge.jsonl",
"merged_knowledge.jsonl"
]:
Path(file).unlink(missing_ok=True)
print("Cleanup complete.")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,154 @@
import asyncio
import os
from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig, LLMConfig
async def test_configuration(name: str, config: AdaptiveConfig, url: str, query: str):
"""Test a specific configuration"""
print(f"\n{'='*60}")
print(f"Configuration: {name}")
print(f"{'='*60}")
async with AsyncWebCrawler(verbose=False) as crawler:
adaptive = AdaptiveCrawler(crawler, config)
result = await adaptive.digest(start_url=url, query=query)
print("\n" + "="*50)
print("CRAWL STATISTICS")
print("="*50)
adaptive.print_stats(detailed=False)
# Get the most relevant content found
print("\n" + "="*50)
print("MOST RELEVANT PAGES")
print("="*50)
relevant_pages = adaptive.get_relevant_content(top_k=5)
for i, page in enumerate(relevant_pages, 1):
print(f"\n{i}. {page['url']}")
print(f" Relevance Score: {page['score']:.2%}")
# Show a snippet of the content
content = page['content'] or ""
if content:
snippet = content[:200].replace('\n', ' ')
if len(content) > 200:
snippet += "..."
print(f" Preview: {snippet}")
print(f"\n{'='*50}")
print(f"Pages crawled: {len(result.crawled_urls)}")
print(f"Final confidence: {adaptive.confidence:.1%}")
print(f"Stopped reason: {result.metrics.get('stopped_reason', 'max_pages')}")
if result.metrics.get('is_irrelevant', False):
print("⚠️ Query detected as irrelevant!")
return result
async def llm_embedding():
"""Demonstrate various embedding configurations"""
print("EMBEDDING STRATEGY CONFIGURATION EXAMPLES")
print("=" * 60)
# Base URL and query for testing
test_url = "https://docs.python.org/3/library/asyncio.html"
openai_llm_config = LLMConfig(
provider='openai/text-embedding-3-small',
api_token=os.getenv('OPENAI_API_KEY'),
temperature=0.7,
max_tokens=2000
)
config_openai = AdaptiveConfig(
strategy="embedding",
max_pages=10,
# Use OpenAI embeddings
embedding_llm_config=openai_llm_config,
# embedding_llm_config={
# 'provider': 'openai/text-embedding-3-small',
# 'api_token': os.getenv('OPENAI_API_KEY')
# },
# OpenAI embeddings are high quality, can be stricter
embedding_k_exp=4.0,
n_query_variations=12
)
await test_configuration(
"OpenAI Embeddings",
config_openai,
test_url,
# "event-driven architecture patterns"
"async await context managers coroutines"
)
return
async def basic_adaptive_crawling():
"""Basic adaptive crawling example"""
# Initialize the crawler
async with AsyncWebCrawler(verbose=True) as crawler:
# Create an adaptive crawler with default settings (statistical strategy)
adaptive = AdaptiveCrawler(crawler)
# Note: You can also use embedding strategy for semantic understanding:
# from crawl4ai import AdaptiveConfig
# config = AdaptiveConfig(strategy="embedding")
# adaptive = AdaptiveCrawler(crawler, config)
# Start adaptive crawling
print("Starting adaptive crawl for Python async programming information...")
result = await adaptive.digest(
start_url="https://docs.python.org/3/library/asyncio.html",
query="async await context managers coroutines"
)
# Display crawl statistics
print("\n" + "="*50)
print("CRAWL STATISTICS")
print("="*50)
adaptive.print_stats(detailed=False)
# Get the most relevant content found
print("\n" + "="*50)
print("MOST RELEVANT PAGES")
print("="*50)
relevant_pages = adaptive.get_relevant_content(top_k=5)
for i, page in enumerate(relevant_pages, 1):
print(f"\n{i}. {page['url']}")
print(f" Relevance Score: {page['score']:.2%}")
# Show a snippet of the content
content = page['content'] or ""
if content:
snippet = content[:200].replace('\n', ' ')
if len(content) > 200:
snippet += "..."
print(f" Preview: {snippet}")
# Show final confidence
print(f"\n{'='*50}")
print(f"Final Confidence: {adaptive.confidence:.2%}")
print(f"Total Pages Crawled: {len(result.crawled_urls)}")
print(f"Knowledge Base Size: {len(adaptive.state.knowledge_base)} documents")
if adaptive.confidence >= 0.8:
print("✓ High confidence - can answer detailed questions about async Python")
elif adaptive.confidence >= 0.6:
print("~ Moderate confidence - can answer basic questions")
else:
print("✗ Low confidence - need more information")
if __name__ == "__main__":
asyncio.run(llm_embedding())
# asyncio.run(basic_adaptive_crawling())
@@ -0,0 +1,110 @@
"""
This example demonstrates how to use JSON CSS extraction to scrape product information
from Amazon search results. It shows how to extract structured data like product titles,
prices, ratings, and other details using CSS selectors.
"""
from crawl4ai import AsyncWebCrawler
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
import json
async def extract_amazon_products():
# Initialize browser config
browser_config = BrowserConfig(browser_type="chromium", headless=True)
# Initialize crawler config with JSON CSS extraction strategy
crawler_config = CrawlerRunConfig(
extraction_strategy=JsonCssExtractionStrategy(
schema={
"name": "Amazon Product Search Results",
"baseSelector": "[data-component-type='s-search-result']",
"fields": [
{
"name": "asin",
"selector": "",
"type": "attribute",
"attribute": "data-asin",
},
{"name": "title", "selector": "h2 a span", "type": "text"},
{
"name": "url",
"selector": "h2 a",
"type": "attribute",
"attribute": "href",
},
{
"name": "image",
"selector": ".s-image",
"type": "attribute",
"attribute": "src",
},
{
"name": "rating",
"selector": ".a-icon-star-small .a-icon-alt",
"type": "text",
},
{
"name": "reviews_count",
"selector": "[data-csa-c-func-deps='aui-da-a-popover'] ~ span span",
"type": "text",
},
{
"name": "price",
"selector": ".a-price .a-offscreen",
"type": "text",
},
{
"name": "original_price",
"selector": ".a-price.a-text-price .a-offscreen",
"type": "text",
},
{
"name": "sponsored",
"selector": ".puis-sponsored-label-text",
"type": "exists",
},
{
"name": "delivery_info",
"selector": "[data-cy='delivery-recipe'] .a-color-base",
"type": "text",
"multiple": True,
},
],
}
)
)
# Example search URL (you should replace with your actual Amazon URL)
url = "https://www.amazon.com/s?k=Samsung+Galaxy+Tab"
# Use context manager for proper resource handling
async with AsyncWebCrawler(config=browser_config) as crawler:
# Extract the data
result = await crawler.arun(url=url, config=crawler_config)
# Process and print the results
if result and result.extracted_content:
# Parse the JSON string into a list of products
products = json.loads(result.extracted_content)
# Process each product in the list
for product in products:
print("\nProduct Details:")
print(f"ASIN: {product.get('asin')}")
print(f"Title: {product.get('title')}")
print(f"Price: {product.get('price')}")
print(f"Original Price: {product.get('original_price')}")
print(f"Rating: {product.get('rating')}")
print(f"Reviews: {product.get('reviews_count')}")
print(f"Sponsored: {'Yes' if product.get('sponsored') else 'No'}")
if product.get("delivery_info"):
print(f"Delivery: {' '.join(product['delivery_info'])}")
print("-" * 80)
if __name__ == "__main__":
import asyncio
asyncio.run(extract_amazon_products())
@@ -0,0 +1,150 @@
"""
This example demonstrates how to use JSON CSS extraction to scrape product information
from Amazon search results. It shows how to extract structured data like product titles,
prices, ratings, and other details using CSS selectors.
"""
from crawl4ai import AsyncWebCrawler, CacheMode
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
import json
from playwright.async_api import Page, BrowserContext
async def extract_amazon_products():
# Initialize browser config
browser_config = BrowserConfig(
# browser_type="chromium",
headless=True
)
# Initialize crawler config with JSON CSS extraction strategy nav-search-submit-button
crawler_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
extraction_strategy=JsonCssExtractionStrategy(
schema={
"name": "Amazon Product Search Results",
"baseSelector": "[data-component-type='s-search-result']",
"fields": [
{
"name": "asin",
"selector": "",
"type": "attribute",
"attribute": "data-asin",
},
{"name": "title", "selector": "h2 a span", "type": "text"},
{
"name": "url",
"selector": "h2 a",
"type": "attribute",
"attribute": "href",
},
{
"name": "image",
"selector": ".s-image",
"type": "attribute",
"attribute": "src",
},
{
"name": "rating",
"selector": ".a-icon-star-small .a-icon-alt",
"type": "text",
},
{
"name": "reviews_count",
"selector": "[data-csa-c-func-deps='aui-da-a-popover'] ~ span span",
"type": "text",
},
{
"name": "price",
"selector": ".a-price .a-offscreen",
"type": "text",
},
{
"name": "original_price",
"selector": ".a-price.a-text-price .a-offscreen",
"type": "text",
},
{
"name": "sponsored",
"selector": ".puis-sponsored-label-text",
"type": "exists",
},
{
"name": "delivery_info",
"selector": "[data-cy='delivery-recipe'] .a-color-base",
"type": "text",
"multiple": True,
},
],
}
),
)
url = "https://www.amazon.com/"
async def after_goto(
page: Page, context: BrowserContext, url: str, response: dict, **kwargs
):
"""Hook called after navigating to each URL"""
print(f"[HOOK] after_goto - Successfully loaded: {url}")
try:
# Wait for search box to be available
search_box = await page.wait_for_selector(
"#twotabsearchtextbox", timeout=1000
)
# Type the search query
await search_box.fill("Samsung Galaxy Tab")
# Get the search button and prepare for navigation
search_button = await page.wait_for_selector(
"#nav-search-submit-button", timeout=1000
)
# Click with navigation waiting
await search_button.click()
# Wait for search results to load
await page.wait_for_selector(
'[data-component-type="s-search-result"]', timeout=10000
)
print("[HOOK] Search completed and results loaded!")
except Exception as e:
print(f"[HOOK] Error during search operation: {str(e)}")
return page
# Use context manager for proper resource handling
async with AsyncWebCrawler(config=browser_config) as crawler:
crawler.crawler_strategy.set_hook("after_goto", after_goto)
# Extract the data
result = await crawler.arun(url=url, config=crawler_config)
# Process and print the results
if result and result.extracted_content:
# Parse the JSON string into a list of products
products = json.loads(result.extracted_content)
# Process each product in the list
for product in products:
print("\nProduct Details:")
print(f"ASIN: {product.get('asin')}")
print(f"Title: {product.get('title')}")
print(f"Price: {product.get('price')}")
print(f"Original Price: {product.get('original_price')}")
print(f"Rating: {product.get('rating')}")
print(f"Reviews: {product.get('reviews_count')}")
print(f"Sponsored: {'Yes' if product.get('sponsored') else 'No'}")
if product.get("delivery_info"):
print(f"Delivery: {' '.join(product['delivery_info'])}")
print("-" * 80)
if __name__ == "__main__":
import asyncio
asyncio.run(extract_amazon_products())
@@ -0,0 +1,126 @@
"""
This example demonstrates how to use JSON CSS extraction to scrape product information
from Amazon search results. It shows how to extract structured data like product titles,
prices, ratings, and other details using CSS selectors.
"""
from crawl4ai import AsyncWebCrawler, CacheMode
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
import json
async def extract_amazon_products():
# Initialize browser config
browser_config = BrowserConfig(
# browser_type="chromium",
headless=True
)
js_code_to_search = """
const task = async () => {
document.querySelector('#twotabsearchtextbox').value = 'Samsung Galaxy Tab';
document.querySelector('#nav-search-submit-button').click();
}
await task();
"""
js_code_to_search_sync = """
document.querySelector('#twotabsearchtextbox').value = 'Samsung Galaxy Tab';
document.querySelector('#nav-search-submit-button').click();
"""
crawler_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
js_code=js_code_to_search,
wait_for='css:[data-component-type="s-search-result"]',
extraction_strategy=JsonCssExtractionStrategy(
schema={
"name": "Amazon Product Search Results",
"baseSelector": "[data-component-type='s-search-result']",
"fields": [
{
"name": "asin",
"selector": "",
"type": "attribute",
"attribute": "data-asin",
},
{"name": "title", "selector": "h2 a span", "type": "text"},
{
"name": "url",
"selector": "h2 a",
"type": "attribute",
"attribute": "href",
},
{
"name": "image",
"selector": ".s-image",
"type": "attribute",
"attribute": "src",
},
{
"name": "rating",
"selector": ".a-icon-star-small .a-icon-alt",
"type": "text",
},
{
"name": "reviews_count",
"selector": "[data-csa-c-func-deps='aui-da-a-popover'] ~ span span",
"type": "text",
},
{
"name": "price",
"selector": ".a-price .a-offscreen",
"type": "text",
},
{
"name": "original_price",
"selector": ".a-price.a-text-price .a-offscreen",
"type": "text",
},
{
"name": "sponsored",
"selector": ".puis-sponsored-label-text",
"type": "exists",
},
{
"name": "delivery_info",
"selector": "[data-cy='delivery-recipe'] .a-color-base",
"type": "text",
"multiple": True,
},
],
}
),
)
# Example search URL (you should replace with your actual Amazon URL)
url = "https://www.amazon.com/"
# Use context manager for proper resource handling
async with AsyncWebCrawler(config=browser_config) as crawler:
# Extract the data
result = await crawler.arun(url=url, config=crawler_config)
# Process and print the results
if result and result.extracted_content:
# Parse the JSON string into a list of products
products = json.loads(result.extracted_content)
# Process each product in the list
for product in products:
print("\nProduct Details:")
print(f"ASIN: {product.get('asin')}")
print(f"Title: {product.get('title')}")
print(f"Price: {product.get('price')}")
print(f"Original Price: {product.get('original_price')}")
print(f"Rating: {product.get('rating')}")
print(f"Reviews: {product.get('reviews_count')}")
print(f"Sponsored: {'Yes' if product.get('sponsored') else 'No'}")
if product.get("delivery_info"):
print(f"Delivery: {' '.join(product['delivery_info'])}")
print("-" * 80)
if __name__ == "__main__":
import asyncio
asyncio.run(extract_amazon_products())
+79
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@@ -0,0 +1,79 @@
import asyncio
import time
from crawl4ai.async_webcrawler import AsyncWebCrawler, CacheMode
from crawl4ai.async_configs import CrawlerRunConfig
from crawl4ai.async_dispatcher import MemoryAdaptiveDispatcher, RateLimiter
VERBOSE = False
async def crawl_sequential(urls):
config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, verbose=VERBOSE)
results = []
start_time = time.perf_counter()
async with AsyncWebCrawler() as crawler:
for url in urls:
result_container = await crawler.arun(url=url, config=config)
results.append(result_container[0])
total_time = time.perf_counter() - start_time
return total_time, results
async def crawl_parallel_dispatcher(urls):
config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, verbose=VERBOSE)
# Dispatcher with rate limiter enabled (default behavior)
dispatcher = MemoryAdaptiveDispatcher(
rate_limiter=RateLimiter(base_delay=(1.0, 3.0), max_delay=60.0, max_retries=3),
max_session_permit=50,
)
start_time = time.perf_counter()
async with AsyncWebCrawler() as crawler:
result_container = await crawler.arun_many(urls=urls, config=config, dispatcher=dispatcher)
results = []
if isinstance(result_container, list):
results = result_container
else:
async for res in result_container:
results.append(res)
total_time = time.perf_counter() - start_time
return total_time, results
async def crawl_parallel_no_rate_limit(urls):
config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, verbose=VERBOSE)
# Dispatcher with no rate limiter and a high session permit to avoid queuing
dispatcher = MemoryAdaptiveDispatcher(
rate_limiter=None,
max_session_permit=len(urls) # allow all URLs concurrently
)
start_time = time.perf_counter()
async with AsyncWebCrawler() as crawler:
result_container = await crawler.arun_many(urls=urls, config=config, dispatcher=dispatcher)
results = []
if isinstance(result_container, list):
results = result_container
else:
async for res in result_container:
results.append(res)
total_time = time.perf_counter() - start_time
return total_time, results
async def main():
urls = ["https://example.com"] * 100
print(f"Crawling {len(urls)} URLs sequentially...")
seq_time, seq_results = await crawl_sequential(urls)
print(f"Sequential crawling took: {seq_time:.2f} seconds\n")
print(f"Crawling {len(urls)} URLs in parallel using arun_many with dispatcher (with rate limit)...")
disp_time, disp_results = await crawl_parallel_dispatcher(urls)
print(f"Parallel (dispatcher with rate limiter) took: {disp_time:.2f} seconds\n")
print(f"Crawling {len(urls)} URLs in parallel using dispatcher with no rate limiter...")
no_rl_time, no_rl_results = await crawl_parallel_no_rate_limit(urls)
print(f"Parallel (dispatcher without rate limiter) took: {no_rl_time:.2f} seconds\n")
print("Crawl4ai - Crawling Comparison")
print("--------------------------------------------------------")
print(f"Sequential crawling took: {seq_time:.2f} seconds")
print(f"Parallel (dispatcher with rate limiter) took: {disp_time:.2f} seconds")
print(f"Parallel (dispatcher without rate limiter) took: {no_rl_time:.2f} seconds")
if __name__ == "__main__":
asyncio.run(main())
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@@ -0,0 +1,132 @@
<!DOCTYPE html>
<html>
<head>
<title>Append-Only Scroll (Traditional Infinite Scroll)</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 20px;
background-color: #f5f5f5;
}
h1 {
color: #333;
text-align: center;
}
.posts-container {
max-width: 800px;
margin: 0 auto;
background: white;
border: 1px solid #ddd;
border-radius: 5px;
padding: 20px;
}
.post {
background: #f9f9f9;
padding: 15px;
margin-bottom: 15px;
border-radius: 5px;
border: 1px solid #eee;
}
.post-title {
font-size: 18px;
font-weight: bold;
color: #2c3e50;
margin-bottom: 10px;
}
.post-content {
color: #555;
line-height: 1.6;
}
.loading {
text-align: center;
padding: 20px;
color: #888;
}
</style>
</head>
<body>
<h1>Traditional Infinite Scroll Demo</h1>
<p style="text-align: center; color: #666;">This appends new content without removing old content</p>
<div class="posts-container"></div>
<script>
// Traditional infinite scroll - APPENDS content
const container = document.querySelector('.posts-container');
const totalPosts = 200;
const postsPerPage = 20;
let loadedPosts = 0;
let isLoading = false;
// Generate fake post data
function generatePost(index) {
return {
id: index,
title: `Post Title #${index + 1}`,
content: `This is the content of post ${index + 1}. In traditional infinite scroll, new content is appended to existing content. The DOM keeps growing. Post ID: ${index}`
};
}
// Load more posts - APPENDS to existing content
function loadMorePosts() {
if (isLoading || loadedPosts >= totalPosts) return;
isLoading = true;
// Show loading indicator
const loadingDiv = document.createElement('div');
loadingDiv.className = 'loading';
loadingDiv.textContent = 'Loading more posts...';
container.appendChild(loadingDiv);
// Simulate network delay
setTimeout(() => {
// Remove loading indicator
container.removeChild(loadingDiv);
// Add new posts
const fragment = document.createDocumentFragment();
const endIndex = Math.min(loadedPosts + postsPerPage, totalPosts);
for (let i = loadedPosts; i < endIndex; i++) {
const post = generatePost(i);
const postElement = document.createElement('div');
postElement.className = 'post';
postElement.setAttribute('data-post-id', post.id);
postElement.innerHTML = `
<div class="post-title">${post.title}</div>
<div class="post-content">${post.content}</div>
`;
fragment.appendChild(postElement);
}
// APPEND new posts to existing ones
container.appendChild(fragment);
loadedPosts = endIndex;
isLoading = false;
console.log(`Loaded ${loadedPosts} of ${totalPosts} posts`);
}, 300);
}
// Initial load
loadMorePosts();
// Load more on scroll
window.addEventListener('scroll', () => {
const scrollBottom = window.innerHeight + window.scrollY;
const threshold = document.body.offsetHeight - 500;
if (scrollBottom >= threshold) {
loadMorePosts();
}
});
</script>
</body>
</html>
@@ -0,0 +1,158 @@
<!DOCTYPE html>
<html>
<head>
<title>Instagram-like Grid Virtual Scroll</title>
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif;
margin: 0;
padding: 20px;
background-color: #fafafa;
}
h1 {
text-align: center;
color: #262626;
font-weight: 300;
}
.feed-container {
max-width: 935px;
margin: 0 auto;
height: 800px;
overflow-y: auto;
background: white;
border: 1px solid #dbdbdb;
border-radius: 3px;
}
.grid {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 28px;
padding: 28px;
}
.post {
aspect-ratio: 1;
background: #f0f0f0;
border-radius: 3px;
position: relative;
overflow: hidden;
cursor: pointer;
}
.post:hover .overlay {
opacity: 1;
}
.post img {
width: 100%;
height: 100%;
object-fit: cover;
}
.overlay {
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: rgba(0, 0, 0, 0.3);
display: flex;
align-items: center;
justify-content: center;
color: white;
font-size: 14px;
opacity: 0;
transition: opacity 0.2s;
}
.stats {
display: flex;
gap: 20px;
}
</style>
</head>
<body>
<h1>Instagram Grid Virtual Scroll</h1>
<p style="text-align: center; color: #8e8e8e;">Grid layout with virtual scrolling - only visible rows are rendered</p>
<div class="feed-container">
<div class="grid" id="grid"></div>
</div>
<script>
// Instagram-like grid virtual scroll
const grid = document.getElementById('grid');
const container = document.querySelector('.feed-container');
const totalPosts = 999; // Instagram style count
const postsPerRow = 3;
const rowsPerPage = 4; // 12 posts per page
const postsPerPage = postsPerRow * rowsPerPage;
let currentStartIndex = 0;
// Generate fake Instagram post data
const allPosts = [];
for (let i = 0; i < totalPosts; i++) {
allPosts.push({
id: i,
likes: Math.floor(Math.random() * 10000),
comments: Math.floor(Math.random() * 500),
imageNumber: (i % 10) + 1 // Cycle through 10 placeholder images
});
}
// Render grid - REPLACES content for performance
function renderGrid(startIndex) {
const posts = [];
const endIndex = Math.min(startIndex + postsPerPage, totalPosts);
for (let i = startIndex; i < endIndex; i++) {
const post = allPosts[i];
posts.push(`
<div class="post" data-post-id="${post.id}">
<img src="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='400' height='400'%3E%3Crect width='400' height='400' fill='%23${Math.floor(Math.random()*16777215).toString(16)}'/%3E%3Ctext x='50%25' y='50%25' text-anchor='middle' dy='.3em' font-family='Arial' font-size='48' fill='white'%3E${post.id + 1}%3C/text%3E%3C/svg%3E" alt="Post ${post.id + 1}">
<div class="overlay">
<div class="stats">
<span>❤️ ${post.likes.toLocaleString()}</span>
<span>💬 ${post.comments}</span>
</div>
</div>
</div>
`);
}
// REPLACE grid content (virtual scroll)
grid.innerHTML = posts.join('');
currentStartIndex = startIndex;
}
// Initial render
renderGrid(0);
// Handle scroll
let scrollTimeout;
container.addEventListener('scroll', () => {
clearTimeout(scrollTimeout);
scrollTimeout = setTimeout(() => {
const scrollTop = container.scrollTop;
const scrollHeight = container.scrollHeight;
const clientHeight = container.clientHeight;
// Calculate which "page" we should show
const scrollPercentage = scrollTop / (scrollHeight - clientHeight);
const targetIndex = Math.floor(scrollPercentage * (totalPosts - postsPerPage) / postsPerPage) * postsPerPage;
// When scrolled to bottom, show next page
if (scrollTop + clientHeight >= scrollHeight - 100) {
const nextIndex = currentStartIndex + postsPerPage;
if (nextIndex < totalPosts) {
renderGrid(nextIndex);
container.scrollTop = 100; // Reset scroll for continuous experience
}
}
}, 50);
});
</script>
</body>
</html>
@@ -0,0 +1,210 @@
<!DOCTYPE html>
<html>
<head>
<title>News Feed with Mixed Scroll Behavior</title>
<style>
body {
font-family: Georgia, serif;
margin: 0;
padding: 20px;
background-color: #f8f8f8;
}
h1 {
text-align: center;
color: #1a1a1a;
font-size: 32px;
margin-bottom: 10px;
}
.description {
text-align: center;
color: #666;
margin-bottom: 20px;
}
#newsContainer {
max-width: 900px;
margin: 0 auto;
height: 700px;
overflow-y: auto;
background: white;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
padding: 20px;
}
.article {
margin-bottom: 30px;
padding-bottom: 30px;
border-bottom: 1px solid #e0e0e0;
}
.article:last-child {
border-bottom: none;
}
.article-header {
margin-bottom: 15px;
}
.category {
display: inline-block;
background: #ff6b6b;
color: white;
padding: 4px 12px;
font-size: 12px;
text-transform: uppercase;
border-radius: 3px;
margin-bottom: 10px;
}
.headline {
font-size: 24px;
font-weight: bold;
color: #1a1a1a;
margin: 10px 0;
line-height: 1.3;
}
.meta {
color: #888;
font-size: 14px;
margin-bottom: 15px;
}
.content {
font-size: 16px;
line-height: 1.8;
color: #333;
}
.featured {
background: #fff9e6;
padding: 20px;
border-radius: 5px;
margin-bottom: 30px;
}
.featured .category {
background: #ffa500;
}
</style>
</head>
<body>
<h1>📰 Dynamic News Feed</h1>
<p class="description">Mixed behavior: Featured articles stay, regular articles use virtual scroll</p>
<div id="newsContainer"></div>
<script>
const container = document.getElementById('newsContainer');
const totalArticles = 100;
const articlesPerPage = 5;
let currentRegularIndex = 0;
// Categories for variety
const categories = ['Politics', 'Technology', 'Business', 'Science', 'Sports', 'Entertainment'];
// Generate article data
const featuredArticles = [];
const regularArticles = [];
// 3 featured articles that always stay
for (let i = 0; i < 3; i++) {
featuredArticles.push({
id: `featured-${i}`,
category: 'Featured',
headline: `Breaking: Major Story ${i + 1} That Stays Visible`,
date: new Date().toLocaleDateString(),
content: `This is featured article ${i + 1}. Featured articles remain in the DOM and are not replaced during scrolling. They provide important persistent content.`
});
}
// Regular articles that get virtualized
for (let i = 0; i < totalArticles; i++) {
regularArticles.push({
id: `article-${i}`,
category: categories[i % categories.length],
headline: `${categories[i % categories.length]} News: Article ${i + 1} of ${totalArticles}`,
date: new Date(Date.now() - i * 86400000).toLocaleDateString(),
content: `This is regular article ${i + 1}. These articles are replaced as you scroll to maintain performance. Only a subset is shown at any time. Article ID: ${i}`
});
}
// Render articles - Featured stay, regular ones are replaced
function renderArticles(regularStartIndex) {
const html = [];
// Always show featured articles
featuredArticles.forEach(article => {
html.push(`
<div class="article featured" data-article-id="${article.id}">
<div class="article-header">
<span class="category">${article.category}</span>
<h2 class="headline">${article.headline}</h2>
<div class="meta">📅 ${article.date}</div>
</div>
<div class="content">${article.content}</div>
</div>
`);
});
// Add divider
html.push('<div style="text-align: center; color: #999; margin: 20px 0;">— Latest News —</div>');
// Show current page of regular articles (virtual scroll)
const endIndex = Math.min(regularStartIndex + articlesPerPage, totalArticles);
for (let i = regularStartIndex; i < endIndex; i++) {
const article = regularArticles[i];
html.push(`
<div class="article" data-article-id="${article.id}">
<div class="article-header">
<span class="category" style="background: ${getCategoryColor(article.category)}">${article.category}</span>
<h2 class="headline">${article.headline}</h2>
<div class="meta">📅 ${article.date}</div>
</div>
<div class="content">${article.content}</div>
</div>
`);
}
container.innerHTML = html.join('');
currentRegularIndex = regularStartIndex;
}
function getCategoryColor(category) {
const colors = {
'Politics': '#e74c3c',
'Technology': '#3498db',
'Business': '#2ecc71',
'Science': '#9b59b6',
'Sports': '#f39c12',
'Entertainment': '#e91e63'
};
return colors[category] || '#95a5a6';
}
// Initial render
renderArticles(0);
// Handle scroll
container.addEventListener('scroll', () => {
const scrollTop = container.scrollTop;
const scrollHeight = container.scrollHeight;
const clientHeight = container.clientHeight;
// When near bottom, load next page of regular articles
if (scrollTop + clientHeight >= scrollHeight - 200) {
const nextIndex = currentRegularIndex + articlesPerPage;
if (nextIndex < totalArticles) {
renderArticles(nextIndex);
// Scroll to where regular articles start
const regularStart = document.querySelector('.article:not(.featured)');
if (regularStart) {
container.scrollTop = regularStart.offsetTop - 100;
}
}
}
});
</script>
</body>
</html>
@@ -0,0 +1,122 @@
<!DOCTYPE html>
<html>
<head>
<title>Twitter-like Virtual Scroll</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 20px;
background-color: #f0f2f5;
}
h1 {
color: #1da1f2;
text-align: center;
}
#timeline {
max-width: 600px;
margin: 0 auto;
height: 600px;
overflow-y: auto;
background: white;
border: 1px solid #e1e8ed;
border-radius: 10px;
}
.tweet {
padding: 15px;
border-bottom: 1px solid #e1e8ed;
min-height: 80px;
}
.tweet:hover {
background-color: #f7f9fa;
}
.author {
font-weight: bold;
color: #14171a;
margin-bottom: 5px;
}
.content {
color: #14171a;
line-height: 1.5;
}
.stats {
color: #657786;
font-size: 14px;
margin-top: 10px;
}
</style>
</head>
<body>
<h1>Virtual Scroll Demo - Twitter Style</h1>
<p style="text-align: center; color: #666;">This simulates Twitter's timeline where content is replaced as you scroll</p>
<div id="timeline"></div>
<script>
// Simulate Twitter-like virtual scrolling where DOM elements are replaced
const timeline = document.getElementById('timeline');
const totalTweets = 500;
const tweetsPerPage = 10;
let currentIndex = 0;
// Generate fake tweet data
const allTweets = [];
for (let i = 0; i < totalTweets; i++) {
allTweets.push({
id: i,
author: `User_${i + 1}`,
content: `This is tweet #${i + 1} of ${totalTweets}. Virtual scrolling replaces DOM elements to maintain performance. Unique content ID: ${i}`,
likes: Math.floor(Math.random() * 1000),
retweets: Math.floor(Math.random() * 500)
});
}
// Render tweets - REPLACES content
function renderTweets(startIndex) {
const tweets = [];
const endIndex = Math.min(startIndex + tweetsPerPage, totalTweets);
for (let i = startIndex; i < endIndex; i++) {
const tweet = allTweets[i];
tweets.push(`
<div class="tweet" data-tweet-id="${tweet.id}">
<div class="author">@${tweet.author}</div>
<div class="content">${tweet.content}</div>
<div class="stats">❤️ ${tweet.likes} | 🔁 ${tweet.retweets}</div>
</div>
`);
}
// REPLACE entire content (virtual scroll behavior)
timeline.innerHTML = tweets.join('');
currentIndex = startIndex;
}
// Initial render
renderTweets(0);
// Handle scroll
timeline.addEventListener('scroll', () => {
const scrollTop = timeline.scrollTop;
const scrollHeight = timeline.scrollHeight;
const clientHeight = timeline.clientHeight;
// When near bottom, load next page
if (scrollTop + clientHeight >= scrollHeight - 100) {
const nextIndex = currentIndex + tweetsPerPage;
if (nextIndex < totalTweets) {
renderTweets(nextIndex);
// Small scroll adjustment for continuous scrolling
timeline.scrollTop = 50;
}
}
});
</script>
</body>
</html>
@@ -0,0 +1,55 @@
# File: async_webcrawler_multiple_urls_example.py
import os, sys
# append 2 parent directories to sys.path to import crawl4ai
parent_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
sys.path.append(parent_dir)
import asyncio
from crawl4ai import AsyncWebCrawler
async def main():
# Initialize the AsyncWebCrawler
async with AsyncWebCrawler(verbose=True) as crawler:
# List of URLs to crawl
urls = [
"https://example.com",
"https://python.org",
"https://github.com",
"https://stackoverflow.com",
"https://news.ycombinator.com",
]
# Set up crawling parameters
word_count_threshold = 100
# Run the crawling process for multiple URLs
results = await crawler.arun_many(
urls=urls,
word_count_threshold=word_count_threshold,
cache_mode=CacheMode.BYPASS,
verbose=True,
)
# Process the results
for result in results:
if result.success:
print(f"Successfully crawled: {result.url}")
print(f"Title: {result.metadata.get('title', 'N/A')}")
print(f"Word count: {len(result.markdown.split())}")
print(
f"Number of links: {len(result.links.get('internal', [])) + len(result.links.get('external', []))}"
)
print(f"Number of images: {len(result.media.get('images', []))}")
print("---")
else:
print(f"Failed to crawl: {result.url}")
print(f"Error: {result.error_message}")
print("---")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,126 @@
"""
This example demonstrates optimal browser usage patterns in Crawl4AI:
1. Sequential crawling with session reuse
2. Parallel crawling with browser instance reuse
3. Performance optimization settings
"""
import asyncio
from typing import List
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
async def crawl_sequential(urls: List[str]):
"""
Sequential crawling using session reuse - most efficient for moderate workloads
"""
print("\n=== Sequential Crawling with Session Reuse ===")
# Configure browser with optimized settings
browser_config = BrowserConfig(
headless=True,
browser_args=[
"--disable-gpu", # Disable GPU acceleration
"--disable-dev-shm-usage", # Disable /dev/shm usage
"--no-sandbox", # Required for Docker
],
viewport={
"width": 800,
"height": 600,
}, # Smaller viewport for better performance
)
# Configure crawl settings
crawl_config = CrawlerRunConfig(
markdown_generator=DefaultMarkdownGenerator(
# content_filter=PruningContentFilter(), In case you need fit_markdown
),
)
# Create single crawler instance
crawler = AsyncWebCrawler(config=browser_config)
await crawler.start()
try:
session_id = "session1" # Use same session for all URLs
for url in urls:
result = await crawler.arun(
url=url,
config=crawl_config,
session_id=session_id, # Reuse same browser tab
)
if result.success:
print(f"Successfully crawled {url}")
print(f"Content length: {len(result.markdown.raw_markdown)}")
finally:
await crawler.close()
async def crawl_parallel(urls: List[str], max_concurrent: int = 3):
"""
Parallel crawling while reusing browser instance - best for large workloads
"""
print("\n=== Parallel Crawling with Browser Reuse ===")
browser_config = BrowserConfig(
headless=True,
browser_args=["--disable-gpu", "--disable-dev-shm-usage", "--no-sandbox"],
viewport={"width": 800, "height": 600},
)
crawl_config = CrawlerRunConfig(
markdown_generator=DefaultMarkdownGenerator(
# content_filter=PruningContentFilter(), In case you need fit_markdown
),
)
# Create single crawler instance for all parallel tasks
crawler = AsyncWebCrawler(config=browser_config)
await crawler.start()
try:
# Create tasks in batches to control concurrency
for i in range(0, len(urls), max_concurrent):
batch = urls[i : i + max_concurrent]
tasks = []
for j, url in enumerate(batch):
session_id = (
f"parallel_session_{j}" # Different session per concurrent task
)
task = crawler.arun(url=url, config=crawl_config, session_id=session_id)
tasks.append(task)
# Wait for batch to complete
results = await asyncio.gather(*tasks, return_exceptions=True)
# Process results
for url, result in zip(batch, results):
if isinstance(result, Exception):
print(f"Error crawling {url}: {str(result)}")
elif result.success:
print(f"Successfully crawled {url}")
print(f"Content length: {len(result.markdown.raw_markdown)}")
finally:
await crawler.close()
async def main():
# Example URLs
urls = [
"https://example.com/page1",
"https://example.com/page2",
"https://example.com/page3",
"https://example.com/page4",
]
# Demo sequential crawling
await crawl_sequential(urls)
# Demo parallel crawling
await crawl_parallel(urls, max_concurrent=2)
if __name__ == "__main__":
asyncio.run(main())
+86
View File
@@ -0,0 +1,86 @@
#!/usr/bin/env python3
"""
Builtin Browser Example
This example demonstrates how to use Crawl4AI's builtin browser feature,
which simplifies the browser management process. With builtin mode:
- No need to manually start or connect to a browser
- No need to manage CDP URLs or browser processes
- Automatically connects to an existing browser or launches one if needed
- Browser persists between script runs, reducing startup time
- No explicit cleanup or close() calls needed
The example also demonstrates "auto-starting" where you don't need to explicitly
call start() method on the crawler.
"""
import asyncio
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
import time
async def crawl_with_builtin_browser():
"""
Simple example of crawling with the builtin browser.
Key features:
1. browser_mode="builtin" in BrowserConfig
2. No explicit start() call needed
3. No explicit close() needed
"""
print("\n=== Crawl4AI Builtin Browser Example ===\n")
# Create a browser configuration with builtin mode
browser_config = BrowserConfig(
browser_mode="builtin", # This is the key setting!
headless=True # Can run headless for background operation
)
# Create crawler run configuration
crawler_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS, # Skip cache for this demo
screenshot=True, # Take a screenshot
verbose=True # Show verbose logging
)
# Create the crawler instance
# Note: We don't need to use "async with" context manager
crawler = AsyncWebCrawler(config=browser_config)
# Start crawling several URLs - no explicit start() needed!
# The crawler will automatically connect to the builtin browser
print("\n➡️ Crawling first URL...")
t0 = time.time()
result1 = await crawler.arun(
url="https://crawl4ai.com",
config=crawler_config
)
t1 = time.time()
print(f"✅ First URL crawled in {t1-t0:.2f} seconds")
print(f" Got {len(result1.markdown.raw_markdown)} characters of content")
print(f" Title: {result1.metadata.get('title', 'No title')}")
# Try another URL - the browser is already running, so this should be faster
print("\n➡️ Crawling second URL...")
t0 = time.time()
result2 = await crawler.arun(
url="https://example.com",
config=crawler_config
)
t1 = time.time()
print(f"✅ Second URL crawled in {t1-t0:.2f} seconds")
print(f" Got {len(result2.markdown.raw_markdown)} characters of content")
print(f" Title: {result2.metadata.get('title', 'No title')}")
# The builtin browser continues running in the background
# No need to explicitly close it
print("\n🔄 The builtin browser remains running for future use")
print(" You can use 'crwl browser status' to check its status")
print(" or 'crwl browser stop' to stop it when completely done")
async def main():
"""Run the example"""
await crawl_with_builtin_browser()
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,171 @@
# Amazon R2D2 Product Search Example
A real-world demonstration of Crawl4AI's multi-step crawling with LLM-generated automation scripts.
## 🎯 What This Example Shows
This example demonstrates advanced Crawl4AI features:
- **LLM-Generated Scripts**: Automatically create C4A-Script from HTML snippets
- **Multi-Step Crawling**: Navigate through multiple pages using session persistence
- **Structured Data Extraction**: Extract product data using JSON CSS schemas
- **Visual Automation**: Watch the browser perform the search (headless=False)
## 🚀 How It Works
### 1. **Script Generation Phase**
The example uses `C4ACompiler.generate_script()` to analyze Amazon's HTML and create:
- **Search Script**: Automates filling the search box and clicking search
- **Extraction Schema**: Defines how to extract product information
### 2. **Crawling Workflow**
```
Homepage → Execute Search Script → Extract Products → Save Results
```
All steps use the same `session_id` to maintain browser state.
### 3. **Data Extraction**
Products are extracted with:
- Title, price, rating, reviews
- Delivery information
- Sponsored/Small Business badges
- Direct product URLs
## 📁 Files
- `amazon_r2d2_search.py` - Main example script
- `header.html` - Amazon search bar HTML (provided)
- `product.html` - Product card HTML (provided)
- **Generated files:**
- `generated_search_script.c4a` - Auto-generated search automation
- `generated_product_schema.json` - Auto-generated extraction rules
- `extracted_products.json` - Final scraped data
- `search_results_screenshot.png` - Visual proof of results
## 🏃 Running the Example
1. **Prerequisites**
```bash
# Ensure Crawl4AI is installed
pip install crawl4ai
# Set up LLM API key (for script generation)
export OPENAI_API_KEY="your-key-here"
```
2. **Run the scraper**
```bash
python amazon_r2d2_search.py
```
3. **Watch the magic!**
- Browser window opens (not headless)
- Navigates to Amazon.com
- Searches for "r2d2"
- Extracts all products
- Saves results to JSON
## 📊 Sample Output
```json
[
{
"title": "Death Star BB8 R2D2 Golf Balls with 20 Printed tees",
"price": "29.95",
"rating": "4.7",
"reviews_count": "184",
"delivery": "FREE delivery Thu, Jun 19",
"url": "https://www.amazon.com/Death-Star-R2D2-Balls-Printed/dp/B081XSYZMS",
"is_sponsored": true,
"small_business": true
},
...
]
```
## 🔍 Key Features Demonstrated
### Session Persistence
```python
# Same session_id across multiple arun() calls
config = CrawlerRunConfig(
session_id="amazon_r2d2_session",
# ... other settings
)
```
### LLM Script Generation
```python
# Generate automation from natural language + HTML
script = C4ACompiler.generate_script(
html=header_html,
query="Find search box, type 'r2d2', click search",
mode="c4a"
)
```
### JSON CSS Extraction
```python
# Structured data extraction with CSS selectors
schema = {
"baseSelector": "[data-component-type='s-search-result']",
"fields": [
{"name": "title", "selector": "h2 a span", "type": "text"},
{"name": "price", "selector": ".a-price-whole", "type": "text"}
]
}
```
## 🛠️ Customization
### Search Different Products
Change the search term in the script generation:
```python
search_goal = """
...
3. Type "star wars lego" into the search box
...
"""
```
### Extract More Data
Add fields to the extraction schema:
```python
"fields": [
# ... existing fields
{"name": "prime", "selector": ".s-prime", "type": "exists"},
{"name": "image_url", "selector": "img.s-image", "type": "attribute", "attribute": "src"}
]
```
### Use Different Sites
Adapt the approach for other e-commerce sites by:
1. Providing their HTML snippets
2. Adjusting the search goals
3. Updating the extraction schema
## 🎓 Learning Points
1. **No Manual Scripting**: LLM generates all automation code
2. **Session Management**: Maintain state across page navigations
3. **Robust Extraction**: Handle dynamic content and multiple products
4. **Error Handling**: Graceful fallbacks if generation fails
## 🐛 Troubleshooting
- **"No products found"**: Check if Amazon's HTML structure changed
- **"Script generation failed"**: Ensure LLM API key is configured
- **"Page timeout"**: Increase wait times in the config
- **"Session lost"**: Ensure same session_id is used consistently
## 📚 Next Steps
- Try searching for different products
- Add pagination to get more results
- Extract product details pages
- Compare prices across different sellers
- Build a price monitoring system
---
This example shows the power of combining LLM intelligence with web automation. The scripts adapt to HTML changes and natural language instructions make automation accessible to everyone!
@@ -0,0 +1,202 @@
#!/usr/bin/env python3
"""
Amazon R2D2 Product Search Example using Crawl4AI
This example demonstrates:
1. Using LLM to generate C4A-Script from HTML snippets
2. Multi-step crawling with session persistence
3. JSON CSS extraction for structured product data
4. Complete workflow: homepage → search → extract products
Requirements:
- Crawl4AI with generate_script support
- LLM API key (configured in environment)
"""
import asyncio
import json
import os
from pathlib import Path
from typing import List, Dict, Any
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.script.c4a_compile import C4ACompiler
class AmazonR2D2Scraper:
def __init__(self):
self.base_dir = Path(__file__).parent
self.search_script_path = self.base_dir / "generated_search_script.js"
self.schema_path = self.base_dir / "generated_product_schema.json"
self.results_path = self.base_dir / "extracted_products.json"
self.session_id = "amazon_r2d2_session"
async def generate_search_script(self) -> str:
"""Generate JavaScript for Amazon search interaction"""
print("🔧 Generating search script from header.html...")
# Check if already generated
if self.search_script_path.exists():
print("✅ Using cached search script")
return self.search_script_path.read_text()
# Read the header HTML
header_html = (self.base_dir / "header.html").read_text()
# Generate script using LLM
search_goal = """
Find the search box and search button, then:
1. Wait for the search box to be visible
2. Click on the search box to focus it
3. Clear any existing text
4. Type "r2d2" into the search box
5. Click the search submit button
6. Wait for navigation to complete and search results to appear
"""
try:
script = C4ACompiler.generate_script(
html=header_html,
query=search_goal,
mode="js"
)
# Save for future use
self.search_script_path.write_text(script)
print("✅ Search script generated and saved!")
print(f"📄 Script:\n{script}")
return script
except Exception as e:
print(f"❌ Error generating search script: {e}")
async def generate_product_schema(self) -> Dict[str, Any]:
"""Generate JSON CSS extraction schema from product HTML"""
print("\n🔧 Generating product extraction schema...")
# Check if already generated
if self.schema_path.exists():
print("✅ Using cached extraction schema")
return json.loads(self.schema_path.read_text())
# Read the product HTML
product_html = (self.base_dir / "product.html").read_text()
# Generate extraction schema using LLM
schema_goal = """
Create a JSON CSS extraction schema to extract:
- Product title (from the h2 element)
- Price (the dollar amount)
- Rating (star rating value)
- Number of reviews
- Delivery information
- Product URL (from the main product link)
- Whether it's sponsored
- Small business badge if present
The schema should handle multiple products on a search results page.
"""
try:
# Generate JavaScript that returns the schema
schema = JsonCssExtractionStrategy.generate_schema(
html=product_html,
query=schema_goal,
)
# Save for future use
self.schema_path.write_text(json.dumps(schema, indent=2))
print("✅ Extraction schema generated and saved!")
print(f"📄 Schema fields: {[f['name'] for f in schema['fields']]}")
return schema
except Exception as e:
print(f"❌ Error generating schema: {e}")
async def crawl_amazon(self):
"""Main crawling logic with 2 calls using same session"""
print("\n🚀 Starting Amazon R2D2 product search...")
# Generate scripts and schemas
search_script = await self.generate_search_script()
product_schema = await self.generate_product_schema()
# Configure browser (headless=False to see the action)
browser_config = BrowserConfig(
headless=False,
verbose=True,
viewport_width=1920,
viewport_height=1080
)
async with AsyncWebCrawler(config=browser_config) as crawler:
print("\n📍 Step 1: Navigate to Amazon and search for R2D2")
# FIRST CALL: Navigate to Amazon and execute search
search_config = CrawlerRunConfig(
session_id=self.session_id,
js_code= f"(() => {{ {search_script} }})()", # Execute generated JS
wait_for=".s-search-results", # Wait for search results
extraction_strategy=JsonCssExtractionStrategy(schema=product_schema),
delay_before_return_html=3.0 # Give time for results to load
)
results = await crawler.arun(
url="https://www.amazon.com",
config=search_config
)
if not results.success:
print("❌ Failed to search Amazon")
print(f"Error: {results.error_message}")
return
print("✅ Search completed successfully!")
print("✅ Product extraction completed!")
# Extract and save results
print("\n📍 Extracting product data")
if results[0].extracted_content:
products = json.loads(results[0].extracted_content)
print(f"🔍 Found {len(products)} products in search results")
print(f"✅ Extracted {len(products)} R2D2 products")
# Save results
self.results_path.write_text(
json.dumps(products, indent=2)
)
print(f"💾 Results saved to: {self.results_path}")
# Print sample results
print("\n📊 Sample Results:")
for i, product in enumerate(products[:3], 1):
print(f"\n{i}. {product['title'][:60]}...")
print(f" Price: ${product['price']}")
print(f" Rating: {product['rating']} ({product['number_of_reviews']} reviews)")
print(f" {'🏪 Small Business' if product['small_business_badge'] else ''}")
print(f" {'📢 Sponsored' if product['sponsored'] else ''}")
else:
print("❌ No products extracted")
async def main():
"""Run the Amazon scraper"""
scraper = AmazonR2D2Scraper()
await scraper.crawl_amazon()
print("\n🎉 Amazon R2D2 search example completed!")
print("Check the generated files:")
print(" - generated_search_script.js")
print(" - generated_product_schema.json")
print(" - extracted_products.json")
print(" - search_results_screenshot.png")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,114 @@
[
{
"title": "Death Star BB8 R2D2 Golf Balls with 20 Printed tees \u2022 Great Gift IDEA from Moms, DADS and Kids -",
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alt="Sponsored Ad - Death Star BB8 R2D2 Golf Balls with 20 Printed tees • Great Gift IDEA from Moms, DADS and Kids -"
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href="/sspa/click?ie=UTF8&amp;spc=MToxNzQwNTE0ODkzNDczNzk3OjE3NDkyOTk4MzM6c3BfYXRmOjIwMDA2NzY0ODgwMjc5ODo6MDo6&amp;url=%2FDeath-Star-R2D2-Balls-Printed%2Fdp%2FB081XSYZMS%2Fref%3Dsr_1_1_sspa%3Fcrid%3D3C1EXMXN59Q9G%26dib%3DeyJ2IjoiMSJ9.7tBl5bhZh59L9qIPZUe9SLa2fy_HvzboxuQxvrRcAc0VUXayi9fxQFsMLyFplDE9vMkIJbP76AVpa-5-fxhNza3DqhX4tss4NlB49WPi_dA00Hw6O8qK5pDzdetYlhGgOyXOLBe7mTG9oJ5W0wcvQhEVoX9mpJk_SGeqRLWGA0dBSjYCZtiyrY8_B-DP53S7fbYwiSYtq-g7sQDXKVadRpGvUyKq7yxA0SLsU42uvoqSGb0qcd6udL1wbnTEkKmwNjNSb7xIUb-8PyE7DTPMt1ScJksn70sFQMJNkM2aK5M.x9_jYvKPnSibV1d0umUStZBxlSTSXrzVIFKqFzS8c-U%26dib_tag%3Dse%26keywords%3Dr2d2%26qid%3D1749299833%26sprefix%3Dr2d2%252Caps%252C548%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1">
<h2 aria-label="Sponsored Ad - Death Star BB8 R2D2 Golf Balls with 20 Printed tees • Great Gift IDEA from Moms, DADS and Kids -"
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<span>Death Star BB8 R2D2 Golf Balls with 20 Printed tees • Great Gift IDEA
from Moms, DADS and Kids -</span></h2>
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class="a-popover-trigger a-declarative"><i
data-cy="reviews-ratings-slot" aria-hidden="true"
class="a-icon a-icon-star-small a-star-small-4-5"><span
class="a-icon-alt">4.7 out of 5 stars</span></i><i
class="a-icon a-icon-popover"></i></a></span> <span
data-component-type="s-client-side-analytics" class="rush-component"
data-version-id="v2dwi5hq8xzthf26x0gg1mcl2oj"
data-render-id="r3o8bgr5zt3kmy2jv4su6fn4kyw" data-component-id="8">
<div style="display: inline-block"
class="s-csa-instrumentation-wrapper alf-search-csa-instrumentation-wrapper"
data-csa-c-type="alf-af-component"
data-csa-c-content-id="alf-customer-ratings-count-component"
data-csa-c-slot-id="alf-reviews" data-csa-op-log-render=""
data-csa-c-layout="GRID" data-csa-c-asin="B081XSYZMS"
data-csa-c-id="6l5wc4-ngelan-hd9x4t-d4a2k7"><a aria-label="184 ratings"
class="a-link-normal s-underline-text s-underline-link-text s-link-style"
href="/sspa/click?ie=UTF8&amp;spc=MToxNzQwNTE0ODkzNDczNzk3OjE3NDkyOTk4MzM6c3BfYXRmOjIwMDA2NzY0ODgwMjc5ODo6MDo6&amp;url=%2FDeath-Star-R2D2-Balls-Printed%2Fdp%2FB081XSYZMS%2Fref%3Dsr_1_1_sspa%3Fcrid%3D3C1EXMXN59Q9G%26dib%3DeyJ2IjoiMSJ9.7tBl5bhZh59L9qIPZUe9SLa2fy_HvzboxuQxvrRcAc0VUXayi9fxQFsMLyFplDE9vMkIJbP76AVpa-5-fxhNza3DqhX4tss4NlB49WPi_dA00Hw6O8qK5pDzdetYlhGgOyXOLBe7mTG9oJ5W0wcvQhEVoX9mpJk_SGeqRLWGA0dBSjYCZtiyrY8_B-DP53S7fbYwiSYtq-g7sQDXKVadRpGvUyKq7yxA0SLsU42uvoqSGb0qcd6udL1wbnTEkKmwNjNSb7xIUb-8PyE7DTPMt1ScJksn70sFQMJNkM2aK5M.x9_jYvKPnSibV1d0umUStZBxlSTSXrzVIFKqFzS8c-U%26dib_tag%3Dse%26keywords%3Dr2d2%26qid%3D1749299833%26sprefix%3Dr2d2%252Caps%252C548%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1#customerReviews"><span
aria-hidden="true"
class="a-size-base s-underline-text">184</span> </a> </div>
</span></div>
<div class="a-row a-size-base"><span class="a-size-base a-color-secondary">50+
bought in past month</span></div>
</div>
<div data-cy="price-recipe"
class="a-section a-spacing-none a-spacing-top-small s-price-instructions-style">
<div class="a-row a-size-base a-color-base">
<div class="a-row"><span id="price-link" class="aok-offscreen">Price, product
page</span><a aria-describedby="price-link"
class="a-link-normal s-no-hover s-underline-text s-underline-link-text s-link-style a-text-normal"
href="/sspa/click?ie=UTF8&amp;spc=MToxNzQwNTE0ODkzNDczNzk3OjE3NDkyOTk4MzM6c3BfYXRmOjIwMDA2NzY0ODgwMjc5ODo6MDo6&amp;url=%2FDeath-Star-R2D2-Balls-Printed%2Fdp%2FB081XSYZMS%2Fref%3Dsr_1_1_sspa%3Fcrid%3D3C1EXMXN59Q9G%26dib%3DeyJ2IjoiMSJ9.7tBl5bhZh59L9qIPZUe9SLa2fy_HvzboxuQxvrRcAc0VUXayi9fxQFsMLyFplDE9vMkIJbP76AVpa-5-fxhNza3DqhX4tss4NlB49WPi_dA00Hw6O8qK5pDzdetYlhGgOyXOLBe7mTG9oJ5W0wcvQhEVoX9mpJk_SGeqRLWGA0dBSjYCZtiyrY8_B-DP53S7fbYwiSYtq-g7sQDXKVadRpGvUyKq7yxA0SLsU42uvoqSGb0qcd6udL1wbnTEkKmwNjNSb7xIUb-8PyE7DTPMt1ScJksn70sFQMJNkM2aK5M.x9_jYvKPnSibV1d0umUStZBxlSTSXrzVIFKqFzS8c-U%26dib_tag%3Dse%26keywords%3Dr2d2%26qid%3D1749299833%26sprefix%3Dr2d2%252Caps%252C548%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"><span
class="a-price" data-a-size="xl" data-a-color="base"><span
class="a-offscreen">$29.95</span><span aria-hidden="true"><span
class="a-price-symbol">$</span><span
class="a-price-whole">29<span
class="a-price-decimal">.</span></span><span
class="a-price-fraction">95</span></span></span></a></div>
<div class="a-row"></div>
</div>
</div>
<div data-cy="delivery-recipe" class="a-section a-spacing-none a-spacing-top-micro">
<div class="a-row a-size-base a-color-secondary s-align-children-center"><span
aria-label="FREE delivery Thu, Jun 19 to Malaysia on $49 of eligible items"><span
class="a-color-base">FREE delivery </span><span
class="a-color-base a-text-bold">Thu, Jun 19 </span><span
class="a-color-base">to Malaysia on $49 of eligible items</span></span>
</div>
</div>
<div data-cy="certification-recipe"
class="a-section a-spacing-none a-spacing-top-micro">
<div class="a-row">
<div class="a-section a-spacing-none s-align-children-center">
<div class="a-section a-spacing-none s-pc-faceout-container">
<div>
<div class="s-align-children-center"><span class="a-declarative"
data-version-id="v2dwi5hq8xzthf26x0gg1mcl2oj"
data-render-id="r3o8bgr5zt3kmy2jv4su6fn4kyw"
data-action="s-pc-sidesheet-open"
data-csa-c-func-deps="aui-da-s-pc-sidesheet-open"
data-s-pc-sidesheet-open="{&quot;preloadDomId&quot;:&quot;pc-side-sheet-B081XSYZMS&quot;,&quot;popoverLabel&quot;:&quot;Product certifications&quot;,&quot;interactLoggingMetricsList&quot;:[&quot;provenanceCertifications_desktop_sbe_badge&quot;],&quot;closeButtonLabel&quot;:&quot;Close popup&quot;,&quot;dwellMetric&quot;:&quot;provenanceCertifications_desktop_sbe_badge_t&quot;}"
data-csa-c-type="widget"
data-csa-c-id="hdfxi6-bjlgup-5dql15-88t9ao"><a
data-cy="s-pc-faceout-badge"
class="a-link-normal s-no-underline s-pc-badge s-align-children-center aok-block"
href="javascript:void(0)" role="button">
<div
class="a-section s-pc-attribute-pill-text s-margin-bottom-none s-margin-bottom-none aok-block s-pc-certification-faceout">
<span class="faceout-image-view"></span><img alt=""
src="https://m.media-amazon.com/images/I/111mHoVK0kL._SS200_.png"
class="s-image" height="18px" width="18px">
<span class="a-size-base a-color-base">Small
Business</span>
<div
class="s-margin-bottom-none s-pc-sidesheet-chevron aok-nowrap">
<i class="a-icon a-icon-popover aok-align-center"
role="presentation"></i></div>
</div>
</a></span></div>
</div>
</div>
</div>
<div id="pc-side-sheet-B081XSYZMS"
class="a-section puis puis-v2dwi5hq8xzthf26x0gg1mcl2oj aok-hidden">
<div class="a-section s-pc-container-side-sheet">
<div class="s-align-children-center a-spacing-small">
<div class="s-align-children-center s-pc-certification"
role="heading" aria-level="2"><span
class="faceout-image-view"></span>
<div alt="" style="height: 24px; width: 24px;"
class="a-image-wrapper a-lazy-loaded a-manually-loaded s-image"
data-a-image-source="https://m.media-amazon.com/images/I/111mHoVK0kL._SS200_.png">
<noscript><img alt=""
src="https://m.media-amazon.com/images/I/111mHoVK0kL._SS200_.png"
height="24px" width="24px" /></noscript></div> <span
class="a-size-medium-plus a-color-base a-text-bold">Small
Business</span>
</div>
</div>
<div class="a-spacing-medium s-pc-link-container"><span
class="a-size-base a-color-secondary">Shop products from small
business brands sold in Amazons store. Discover more about the
small businesses partnering with Amazon and Amazons commitment
to empowering them.</span> <a
class="a-size-base a-link-normal s-link-style"
href="https://www.amazon.com/b/ref=s9_acss_bw_cg_sbp22c_1e1_w/ref=SBE_navbar_5?pf_rd_r=6W5X52VNZRB7GK1E1VX2&amp;pf_rd_p=56621c3d-cff4-45e1-9bf4-79bbeb8006fc&amp;pf_rd_m=ATVPDKIKX0DER&amp;pf_rd_s=merchandised-search-top-3&amp;pf_rd_t=30901&amp;pf_rd_i=17879387011&amp;node=18018208011">Learn
more</a> </div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</span>
</div>
</div>
</div>
</div>
@@ -0,0 +1,217 @@
"""
C4A-Script API Usage Examples
Shows how to use the new Result-based API in various scenarios
"""
from crawl4ai.script.c4a_compile import compile, validate, compile_file
from crawl4ai.script.c4a_result import CompilationResult, ValidationResult
import json
print("C4A-Script API Usage Examples")
print("=" * 80)
# Example 1: Basic compilation
print("\n1. Basic Compilation")
print("-" * 40)
script = """
GO https://example.com
WAIT 2
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
REPEAT (SCROLL DOWN 300, 3)
"""
result = compile(script)
print(f"Success: {result.success}")
print(f"Statements generated: {len(result.js_code) if result.js_code else 0}")
# Example 2: Error handling
print("\n\n2. Error Handling")
print("-" * 40)
error_script = """
GO https://example.com
IF (EXISTS `.modal`) CLICK `.close`
undefined_procedure
"""
result = compile(error_script)
if not result.success:
# Access error details
error = result.first_error
print(f"Error on line {error.line}: {error.message}")
print(f"Error code: {error.code}")
# Show suggestions if available
if error.suggestions:
print("Suggestions:")
for suggestion in error.suggestions:
print(f" - {suggestion.message}")
# Example 3: Validation only
print("\n\n3. Validation (no code generation)")
print("-" * 40)
validation_script = """
PROC validate_form
IF (EXISTS `#email`) THEN TYPE "test@example.com"
PRESS Tab
ENDPROC
validate_form
"""
validation = validate(validation_script)
print(f"Valid: {validation.valid}")
if validation.errors:
print(f"Errors found: {len(validation.errors)}")
# Example 4: JSON output for UI
print("\n\n4. JSON Output for UI Integration")
print("-" * 40)
ui_script = """
CLICK button.submit
"""
result = compile(ui_script)
if not result.success:
# Get JSON for UI
error_json = result.to_dict()
print("Error data for UI:")
print(json.dumps(error_json["errors"][0], indent=2))
# Example 5: File compilation
print("\n\n5. File Compilation")
print("-" * 40)
# Create a test file
test_file = "test_script.c4a"
with open(test_file, "w") as f:
f.write("""
GO https://example.com
WAIT `.content` 5
CLICK `.main-button`
""")
result = compile_file(test_file)
print(f"File compilation: {'Success' if result.success else 'Failed'}")
if result.success:
print(f"Generated {len(result.js_code)} JavaScript statements")
# Clean up
import os
os.remove(test_file)
# Example 6: Batch processing
print("\n\n6. Batch Processing Multiple Scripts")
print("-" * 40)
scripts = [
"GO https://example1.com\nCLICK `.button`",
"GO https://example2.com\nWAIT 2",
"GO https://example3.com\nINVALID_CMD"
]
results = []
for i, script in enumerate(scripts, 1):
result = compile(script)
results.append(result)
status = "" if result.success else ""
print(f"Script {i}: {status}")
# Summary
successful = sum(1 for r in results if r.success)
print(f"\nBatch result: {successful}/{len(scripts)} successful")
# Example 7: Custom error formatting
print("\n\n7. Custom Error Formatting")
print("-" * 40)
def format_error_for_ide(error):
"""Format error for IDE integration"""
return f"{error.source_line}:{error.line}:{error.column}: {error.type.value}: {error.message} [{error.code}]"
error_script = "IF EXISTS `.button` THEN CLICK `.button`"
result = compile(error_script)
if not result.success:
error = result.first_error
print("IDE format:", format_error_for_ide(error))
print("Simple format:", error.simple_message)
print("Full format:", error.formatted_message)
# Example 8: Working with warnings (future feature)
print("\n\n8. Handling Warnings")
print("-" * 40)
# In the future, we might have warnings
result = compile("GO https://example.com\nWAIT 100") # Very long wait
print(f"Success: {result.success}")
print(f"Warnings: {len(result.warnings)}")
# Example 9: Metadata usage
print("\n\n9. Using Metadata")
print("-" * 40)
complex_script = """
PROC helper1
CLICK `.btn1`
ENDPROC
PROC helper2
CLICK `.btn2`
ENDPROC
GO https://example.com
helper1
helper2
"""
result = compile(complex_script)
if result.success:
print(f"Script metadata:")
for key, value in result.metadata.items():
print(f" {key}: {value}")
# Example 10: Integration patterns
print("\n\n10. Integration Patterns")
print("-" * 40)
# Web API endpoint simulation
def api_compile(request_body):
"""Simulate API endpoint"""
script = request_body.get("script", "")
result = compile(script)
response = {
"status": "success" if result.success else "error",
"data": result.to_dict()
}
return response
# CLI tool simulation
def cli_compile(script, output_format="text"):
"""Simulate CLI tool"""
result = compile(script)
if output_format == "json":
return result.to_json()
elif output_format == "simple":
if result.success:
return f"OK: {len(result.js_code)} statements"
else:
return f"ERROR: {result.first_error.simple_message}"
else:
return str(result)
# Test the patterns
api_response = api_compile({"script": "GO https://example.com"})
print(f"API response status: {api_response['status']}")
cli_output = cli_compile("WAIT 2", "simple")
print(f"CLI output: {cli_output}")
print("\n" + "=" * 80)
print("All examples completed successfully!")
@@ -0,0 +1,53 @@
"""
C4A-Script Hello World
A concise example showing how to use the C4A-Script compiler
"""
from crawl4ai.script.c4a_compile import compile
# Define your C4A-Script
script = """
GO https://example.com
WAIT `#content` 5
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
CLICK `button.submit`
"""
# Compile the script
result = compile(script)
# Check if compilation was successful
if result.success:
# Success! Use the generated JavaScript
print("✅ Compilation successful!")
print(f"Generated {len(result.js_code)} JavaScript statements:\n")
for i, js in enumerate(result.js_code, 1):
print(f"{i}. {js}\n")
# In real usage, you'd pass result.js_code to Crawl4AI:
# config = CrawlerRunConfig(js_code=result.js_code)
else:
# Error! Handle the compilation error
print("❌ Compilation failed!")
# Get the first error (there might be multiple)
error = result.first_error
# Show error details
print(f"Error at line {error.line}, column {error.column}")
print(f"Message: {error.message}")
# Show the problematic code
print(f"\nCode: {error.source_line}")
print(" " * (6 + error.column) + "^")
# Show suggestions if available
if error.suggestions:
print("\n💡 How to fix:")
for suggestion in error.suggestions:
print(f" {suggestion.message}")
# For debugging or logging, you can also get JSON
# error_json = result.to_json()
@@ -0,0 +1,53 @@
"""
C4A-Script Hello World - Error Example
Shows how error handling works
"""
from crawl4ai.script.c4a_compile import compile
# Define a script with an error (missing THEN)
script = """
GO https://example.com
WAIT `#content` 5
IF (EXISTS `.cookie-banner`) CLICK `.accept`
CLICK `button.submit`
"""
# Compile the script
result = compile(script)
# Check if compilation was successful
if result.success:
# Success! Use the generated JavaScript
print("✅ Compilation successful!")
print(f"Generated {len(result.js_code)} JavaScript statements:\n")
for i, js in enumerate(result.js_code, 1):
print(f"{i}. {js}\n")
# In real usage, you'd pass result.js_code to Crawl4AI:
# config = CrawlerRunConfig(js_code=result.js_code)
else:
# Error! Handle the compilation error
print("❌ Compilation failed!")
# Get the first error (there might be multiple)
error = result.first_error
# Show error details
print(f"Error at line {error.line}, column {error.column}")
print(f"Message: {error.message}")
# Show the problematic code
print(f"\nCode: {error.source_line}")
print(" " * (6 + error.column) + "^")
# Show suggestions if available
if error.suggestions:
print("\n💡 How to fix:")
for suggestion in error.suggestions:
print(f" {suggestion.message}")
# For debugging or logging, you can also get JSON
# error_json = result.to_json()
@@ -0,0 +1,285 @@
"""
Demonstration of C4A-Script integration with Crawl4AI
Shows various use cases and features
"""
import asyncio
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
from crawl4ai import c4a_compile, CompilationResult
async def example_basic_usage():
"""Basic C4A-Script usage with Crawl4AI"""
print("\n" + "="*60)
print("Example 1: Basic C4A-Script Usage")
print("="*60)
# Define your automation script
c4a_script = """
# Wait for page to load
WAIT `body` 2
# Handle cookie banner if present
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept-btn`
# Scroll down to load more content
SCROLL DOWN 500
WAIT 1
# Click load more button if exists
IF (EXISTS `.load-more`) THEN CLICK `.load-more`
"""
# Create crawler config with C4A script
config = CrawlerRunConfig(
url="https://example.com",
c4a_script=c4a_script,
wait_for="css:.content",
verbose=False
)
print("✅ C4A Script compiled successfully!")
print(f"Generated {len(config.js_code)} JavaScript commands")
# In production, you would run:
# async with AsyncWebCrawler() as crawler:
# result = await crawler.arun(config=config)
async def example_form_filling():
"""Form filling with C4A-Script"""
print("\n" + "="*60)
print("Example 2: Form Filling with C4A-Script")
print("="*60)
# Form automation script
form_script = """
# Set form values
SET email = "test@example.com"
SET message = "This is a test message"
# Fill the form
CLICK `#email-input`
TYPE $email
CLICK `#message-textarea`
TYPE $message
# Submit the form
CLICK `button[type="submit"]`
# Wait for success message
WAIT `.success-message` 10
"""
config = CrawlerRunConfig(
url="https://example.com/contact",
c4a_script=form_script
)
print("✅ Form filling script ready")
print("Script will:")
print(" - Fill email field")
print(" - Fill message textarea")
print(" - Submit form")
print(" - Wait for confirmation")
async def example_dynamic_loading():
"""Handle dynamic content loading"""
print("\n" + "="*60)
print("Example 3: Dynamic Content Loading")
print("="*60)
# Script for infinite scroll or pagination
pagination_script = """
# Initial wait
WAIT `.product-list` 5
# Load all products by clicking "Load More" repeatedly
REPEAT (CLICK `.load-more`, `document.querySelector('.load-more') !== null`)
# Alternative: Scroll to load (infinite scroll)
# REPEAT (SCROLL DOWN 1000, `document.querySelectorAll('.product').length < 100`)
# Extract count
EVAL `console.log('Products loaded: ' + document.querySelectorAll('.product').length)`
"""
config = CrawlerRunConfig(
url="https://example.com/products",
c4a_script=pagination_script,
screenshot=True # Capture final state
)
print("✅ Dynamic loading script ready")
print("Script will load all products by repeatedly clicking 'Load More'")
async def example_multi_step_workflow():
"""Complex multi-step workflow with procedures"""
print("\n" + "="*60)
print("Example 4: Multi-Step Workflow with Procedures")
print("="*60)
# Complex workflow with reusable procedures
workflow_script = """
# Define login procedure
PROC login
CLICK `#username`
TYPE "demo_user"
CLICK `#password`
TYPE "demo_pass"
CLICK `#login-btn`
WAIT `.dashboard` 10
ENDPROC
# Define search procedure
PROC search_product
CLICK `.search-box`
TYPE "laptop"
PRESS Enter
WAIT `.search-results` 5
ENDPROC
# Main workflow
GO https://example.com
login
search_product
# Process results
IF (EXISTS `.no-results`) THEN EVAL `console.log('No products found')`
ELSE REPEAT (CLICK `.add-to-cart`, 3)
"""
# Compile to check for errors
result = c4a_compile(workflow_script)
if result.success:
print("✅ Complex workflow compiled successfully!")
print("Workflow includes:")
print(" - Login procedure")
print(" - Product search")
print(" - Conditional cart additions")
config = CrawlerRunConfig(
url="https://example.com",
c4a_script=workflow_script
)
else:
print("❌ Compilation error:")
error = result.first_error
print(f" Line {error.line}: {error.message}")
async def example_error_handling():
"""Demonstrate error handling"""
print("\n" + "="*60)
print("Example 5: Error Handling")
print("="*60)
# Script with intentional error
bad_script = """
WAIT body 2
CLICK button
IF (EXISTS .modal) CLICK .close
"""
try:
config = CrawlerRunConfig(
url="https://example.com",
c4a_script=bad_script
)
except ValueError as e:
print("✅ Error caught as expected:")
print(f" {e}")
# Fixed version
good_script = """
WAIT `body` 2
CLICK `button`
IF (EXISTS `.modal`) THEN CLICK `.close`
"""
config = CrawlerRunConfig(
url="https://example.com",
c4a_script=good_script
)
print("\n✅ Fixed script compiled successfully!")
async def example_combining_with_extraction():
"""Combine C4A-Script with extraction strategies"""
print("\n" + "="*60)
print("Example 6: C4A-Script + Extraction Strategies")
print("="*60)
from crawl4ai import JsonCssExtractionStrategy
# Script to prepare page for extraction
prep_script = """
# Expand all collapsed sections
REPEAT (CLICK `.expand-btn`, `document.querySelectorAll('.expand-btn:not(.expanded)').length > 0`)
# Load all comments
IF (EXISTS `.load-comments`) THEN CLICK `.load-comments`
WAIT `.comments-section` 5
# Close any popups
IF (EXISTS `.popup-close`) THEN CLICK `.popup-close`
"""
# Define extraction schema
schema = {
"name": "article",
"selector": "article.main",
"fields": {
"title": {"selector": "h1", "type": "text"},
"content": {"selector": ".content", "type": "text"},
"comments": {
"selector": ".comment",
"type": "list",
"fields": {
"author": {"selector": ".author", "type": "text"},
"text": {"selector": ".text", "type": "text"}
}
}
}
}
config = CrawlerRunConfig(
url="https://example.com/article",
c4a_script=prep_script,
extraction_strategy=JsonCssExtractionStrategy(schema),
wait_for="css:.comments-section"
)
print("✅ Combined C4A + Extraction ready")
print("Workflow:")
print(" 1. Expand collapsed sections")
print(" 2. Load comments")
print(" 3. Extract structured data")
async def main():
"""Run all examples"""
print("\n🚀 C4A-Script + Crawl4AI Integration Demo\n")
# Run all examples
await example_basic_usage()
await example_form_filling()
await example_dynamic_loading()
await example_multi_step_workflow()
await example_error_handling()
await example_combining_with_extraction()
print("\n" + "="*60)
print("✅ All examples completed successfully!")
print("="*60)
print("\nTo run actual crawls, uncomment the AsyncWebCrawler sections")
print("or create your own scripts using these examples as templates.")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,89 @@
#!/usr/bin/env python3
"""
Hello World Example: LLM-Generated C4A-Script
This example shows how to use the new generate_script() function to automatically
create C4A-Script automation from natural language descriptions and HTML.
"""
from crawl4ai.script.c4a_compile import C4ACompiler
def main():
print("🤖 C4A-Script Generation Hello World")
print("=" * 50)
# Example 1: Simple login form
html = """
<html>
<body>
<form id="login">
<input id="email" type="email" placeholder="Email">
<input id="password" type="password" placeholder="Password">
<button id="submit">Login</button>
</form>
</body>
</html>
"""
goal = "Fill in email 'user@example.com', password 'secret123', and submit the form"
print("📝 Goal:", goal)
print("🌐 HTML: Simple login form")
print()
# Generate C4A-Script
print("🔧 Generated C4A-Script:")
print("-" * 30)
c4a_script = C4ACompiler.generate_script(
html=html,
query=goal,
mode="c4a"
)
print(c4a_script)
print()
# Generate JavaScript
print("🔧 Generated JavaScript:")
print("-" * 30)
js_script = C4ACompiler.generate_script(
html=html,
query=goal,
mode="js"
)
print(js_script)
print()
# Example 2: Simple button click
html2 = """
<html>
<body>
<div class="content">
<h1>Welcome!</h1>
<button id="start-btn" class="primary">Get Started</button>
</div>
</body>
</html>
"""
goal2 = "Click the 'Get Started' button"
print("=" * 50)
print("📝 Goal:", goal2)
print("🌐 HTML: Simple button")
print()
print("🔧 Generated C4A-Script:")
print("-" * 30)
c4a_script2 = C4ACompiler.generate_script(
html=html2,
query=goal2,
mode="c4a"
)
print(c4a_script2)
print()
print("✅ Done! The LLM automatically converted natural language goals")
print(" into executable automation scripts.")
if __name__ == "__main__":
main()
@@ -0,0 +1,111 @@
[
{
"repository_name": "unclecode/crawl4ai",
"repository_owner": "unclecode/crawl4ai",
"repository_url": "/unclecode/crawl4ai",
"description": "\ud83d\ude80\ud83e\udd16Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN",
"primary_language": "Python",
"star_count": "45.1k",
"topics": [],
"last_updated": "23 hours ago"
},
{
"repository_name": "coleam00/mcp-crawl4ai-rag",
"repository_owner": "coleam00/mcp-crawl4ai-rag",
"repository_url": "/coleam00/mcp-crawl4ai-rag",
"description": "Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants",
"primary_language": "Python",
"star_count": "748",
"topics": [],
"last_updated": "yesterday"
},
{
"repository_name": "pdichone/crawl4ai-rag-system",
"repository_owner": "pdichone/crawl4ai-rag-system",
"repository_url": "/pdichone/crawl4ai-rag-system",
"primary_language": "Python",
"star_count": "44",
"topics": [],
"last_updated": "on 21 Jan"
},
{
"repository_name": "weidwonder/crawl4ai-mcp-server",
"repository_owner": "weidwonder/crawl4ai-mcp-server",
"repository_url": "/weidwonder/crawl4ai-mcp-server",
"description": "\u7528\u4e8e\u63d0\u4f9b\u7ed9\u672c\u5730\u5f00\u53d1\u8005\u7684 LLM\u7684\u9ad8\u6548\u4e92\u8054\u7f51\u641c\u7d22&\u5185\u5bb9\u83b7\u53d6\u7684MCP Server\uff0c \u8282\u7701\u4f60\u7684token",
"primary_language": "Python",
"star_count": "87",
"topics": [],
"last_updated": "24 days ago"
},
{
"repository_name": "leonardogrig/crawl4ai-deepseek-example",
"repository_owner": "leonardogrig/crawl4ai-deepseek-example",
"repository_url": "/leonardogrig/crawl4ai-deepseek-example",
"primary_language": "Python",
"star_count": "29",
"topics": [],
"last_updated": "on 18 Jan"
},
{
"repository_name": "laurentvv/crawl4ai-mcp",
"repository_owner": "laurentvv/crawl4ai-mcp",
"repository_url": "/laurentvv/crawl4ai-mcp",
"description": "Web crawling tool that integrates with AI assistants via the MCP",
"primary_language": "Python",
"star_count": "10",
"topics": [
{},
{},
{},
{},
{}
],
"last_updated": "on 16 Mar"
},
{
"repository_name": "kaymen99/ai-web-scraper",
"repository_owner": "kaymen99/ai-web-scraper",
"repository_url": "/kaymen99/ai-web-scraper",
"description": "AI web scraper built withCrawl4AIfor extracting structured leads data from websites.",
"primary_language": "Python",
"star_count": "30",
"topics": [
{},
{},
{},
{},
{}
],
"last_updated": "on 13 Feb"
},
{
"repository_name": "atakkant/ai_web_crawler",
"repository_owner": "atakkant/ai_web_crawler",
"repository_url": "/atakkant/ai_web_crawler",
"description": "crawl4ai, DeepSeek, Groq",
"primary_language": "Python",
"star_count": "9",
"topics": [],
"last_updated": "on 19 Feb"
},
{
"repository_name": "Croups/auto-scraper-with-llms",
"repository_owner": "Croups/auto-scraper-with-llms",
"repository_url": "/Croups/auto-scraper-with-llms",
"description": "Web scraping AI that leverages thecrawl4ailibrary to extract structured data from web pages using various large language models (LLMs).",
"primary_language": "Python",
"star_count": "49",
"topics": [],
"last_updated": "on 8 Apr"
},
{
"repository_name": "leonardogrig/crawl4ai_llm_examples",
"repository_owner": "leonardogrig/crawl4ai_llm_examples",
"repository_url": "/leonardogrig/crawl4ai_llm_examples",
"primary_language": "Python",
"star_count": "8",
"topics": [],
"last_updated": "on 29 Jan"
}
]
@@ -0,0 +1,66 @@
{
"name": "GitHub Repository Cards",
"baseSelector": "div.Box-sc-g0xbh4-0.iwUbcA",
"fields": [
{
"name": "repository_name",
"selector": "div.search-title a span",
"type": "text",
"transform": "strip"
},
{
"name": "repository_owner",
"selector": "div.search-title a span",
"type": "text",
"transform": "split",
"pattern": "/"
},
{
"name": "repository_url",
"selector": "div.search-title a",
"type": "attribute",
"attribute": "href",
"transform": "prepend",
"pattern": "https://github.com"
},
{
"name": "description",
"selector": "div.dcdlju span",
"type": "text"
},
{
"name": "primary_language",
"selector": "ul.bZkODq li span[aria-label]",
"type": "text"
},
{
"name": "star_count",
"selector": "ul.bZkODq li a[href*='stargazers'] span",
"type": "text",
"transform": "strip"
},
{
"name": "topics",
"type": "list",
"selector": "div.jgRnBg div a",
"fields": [
{
"name": "topic_name",
"selector": "a",
"type": "text"
}
]
},
{
"name": "last_updated",
"selector": "ul.bZkODq li span[title]",
"type": "text"
},
{
"name": "has_sponsor_button",
"selector": "button[aria-label*='Sponsor']",
"type": "text",
"transform": "exists"
}
]
}
@@ -0,0 +1,39 @@
(async () => {
const waitForElement = (selector, timeout = 10000) => new Promise((resolve, reject) => {
const el = document.querySelector(selector);
if (el) return resolve(el);
const observer = new MutationObserver(() => {
const el = document.querySelector(selector);
if (el) {
observer.disconnect();
resolve(el);
}
});
observer.observe(document.body, { childList: true, subtree: true });
setTimeout(() => {
observer.disconnect();
reject(new Error(`Timeout waiting for ${selector}`));
}, timeout);
});
try {
const searchInput = await waitForElement('#adv_code_search input[type="text"]');
searchInput.value = 'crawl4AI';
searchInput.dispatchEvent(new Event('input', { bubbles: true }));
const languageSelect = await waitForElement('#search_language');
languageSelect.value = 'Python';
languageSelect.dispatchEvent(new Event('change', { bubbles: true }));
const starsInput = await waitForElement('#search_stars');
starsInput.value = '>10000';
starsInput.dispatchEvent(new Event('input', { bubbles: true }));
const searchButton = await waitForElement('#adv_code_search button[type="submit"]');
searchButton.click();
await waitForElement('.codesearch-results, #search-results');
} catch (e) {
console.error('Search script failed:', e.message);
}
})();
@@ -0,0 +1,211 @@
#!/usr/bin/env python3
"""
GitHub Advanced Search Example using Crawl4AI
This example demonstrates:
1. Using LLM to generate C4A-Script from HTML snippets
2. Single arun() call with navigation, search form filling, and extraction
3. JSON CSS extraction for structured repository data
4. Complete workflow: navigate → fill form → submit → extract results
Requirements:
- Crawl4AI with generate_script support
- LLM API key (configured in environment)
"""
import asyncio
import json
import os
from pathlib import Path
from typing import List, Dict, Any
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
from crawl4ai import JsonCssExtractionStrategy
from crawl4ai.script.c4a_compile import C4ACompiler
class GitHubSearchScraper:
def __init__(self):
self.base_dir = Path(__file__).parent
self.search_script_path = self.base_dir / "generated_search_script.js"
self.schema_path = self.base_dir / "generated_result_schema.json"
self.results_path = self.base_dir / "extracted_repositories.json"
self.session_id = "github_search_session"
async def generate_search_script(self) -> str:
"""Generate JavaScript for GitHub advanced search interaction"""
print("🔧 Generating search script from search_form.html...")
# Check if already generated
if self.search_script_path.exists():
print("✅ Using cached search script")
return self.search_script_path.read_text()
# Read the search form HTML
search_form_html = (self.base_dir / "search_form.html").read_text()
# Generate script using LLM
search_goal = """
Search for crawl4AI repositories written in Python with more than 10000 stars:
1. Wait for the main search input to be visible
2. Type "crawl4AI" into the main search box
3. Select "Python" from the language dropdown (#search_language)
4. Type ">10000" into the stars input field (#search_stars)
5. Click the search button to submit the form
6. Wait for the search results to appear
"""
try:
script = C4ACompiler.generate_script(
html=search_form_html,
query=search_goal,
mode="js"
)
# Save for future use
self.search_script_path.write_text(script)
print("✅ Search script generated and saved!")
print(f"📄 Script preview:\n{script[:500]}...")
return script
except Exception as e:
print(f"❌ Error generating search script: {e}")
raise
async def generate_result_schema(self) -> Dict[str, Any]:
"""Generate JSON CSS extraction schema from result HTML"""
print("\n🔧 Generating result extraction schema...")
# Check if already generated
if self.schema_path.exists():
print("✅ Using cached extraction schema")
return json.loads(self.schema_path.read_text())
# Read the result HTML
result_html = (self.base_dir / "result.html").read_text()
# Generate extraction schema using LLM
schema_goal = """
Create a JSON CSS extraction schema to extract from each repository card:
- Repository name (the repository name only, not including owner)
- Repository owner (organization or username)
- Repository URL (full GitHub URL)
- Description
- Primary programming language
- Star count (numeric value)
- Topics/tags (array of topic names)
- Last updated (time ago string)
- Whether it has a sponsor button
The schema should handle multiple repository results on the search results page.
"""
try:
# Generate schema
schema = JsonCssExtractionStrategy.generate_schema(
html=result_html,
query=schema_goal,
)
# Save for future use
self.schema_path.write_text(json.dumps(schema, indent=2))
print("✅ Extraction schema generated and saved!")
print(f"📄 Schema fields: {[f['name'] for f in schema['fields']]}")
return schema
except Exception as e:
print(f"❌ Error generating schema: {e}")
raise
async def crawl_github(self):
"""Main crawling logic with single arun() call"""
print("\n🚀 Starting GitHub repository search...")
# Generate scripts and schemas
search_script = await self.generate_search_script()
result_schema = await self.generate_result_schema()
# Configure browser (headless=False to see the action)
browser_config = BrowserConfig(
headless=False,
verbose=True,
viewport_width=1920,
viewport_height=1080
)
async with AsyncWebCrawler(config=browser_config) as crawler:
print("\n📍 Navigating to GitHub advanced search and executing search...")
# Single call: Navigate, execute search, and extract results
search_config = CrawlerRunConfig(
session_id=self.session_id,
js_code=search_script, # Execute generated JS
# wait_for="[data-testid='results-list']", # Wait for search results
wait_for=".Box-sc-g0xbh4-0.iwUbcA", # Wait for search results
extraction_strategy=JsonCssExtractionStrategy(schema=result_schema),
delay_before_return_html=3.0, # Give time for results to fully load
cache_mode=CacheMode.BYPASS # Don't cache for fresh results
)
result = await crawler.arun(
url="https://github.com/search/advanced",
config=search_config
)
if not result.success:
print("❌ Failed to search GitHub")
print(f"Error: {result.error_message}")
return
print("✅ Search and extraction completed successfully!")
# Extract and save results
if result.extracted_content:
repositories = json.loads(result.extracted_content)
print(f"\n🔍 Found {len(repositories)} repositories matching criteria")
# Save results
self.results_path.write_text(
json.dumps(repositories, indent=2)
)
print(f"💾 Results saved to: {self.results_path}")
# Print sample results
print("\n📊 Sample Results:")
for i, repo in enumerate(repositories[:5], 1):
print(f"\n{i}. {repo.get('owner', 'Unknown')}/{repo.get('name', 'Unknown')}")
print(f" Description: {repo.get('description', 'No description')[:80]}...")
print(f" Language: {repo.get('language', 'Unknown')}")
print(f" Stars: {repo.get('stars', 'Unknown')}")
print(f" Updated: {repo.get('last_updated', 'Unknown')}")
if repo.get('topics'):
print(f" Topics: {', '.join(repo['topics'][:5])}")
print(f" URL: {repo.get('url', 'Unknown')}")
else:
print("❌ No repositories extracted")
# Save screenshot for reference
if result.screenshot:
screenshot_path = self.base_dir / "search_results_screenshot.png"
with open(screenshot_path, "wb") as f:
f.write(result.screenshot)
print(f"\n📸 Screenshot saved to: {screenshot_path}")
async def main():
"""Run the GitHub search scraper"""
scraper = GitHubSearchScraper()
await scraper.crawl_github()
print("\n🎉 GitHub search example completed!")
print("Check the generated files:")
print(" - generated_search_script.js")
print(" - generated_result_schema.json")
print(" - extracted_repositories.json")
print(" - search_results_screenshot.png")
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,54 @@
<div class="Box-sc-g0xbh4-0 iwUbcA"><div class="Box-sc-g0xbh4-0 cSURfY"><div class="Box-sc-g0xbh4-0 gPrlij"><h3 class="Box-sc-g0xbh4-0 cvnppv"><div class="Box-sc-g0xbh4-0 kYLlPM"><div class="Box-sc-g0xbh4-0 eurdCD"><img data-component="Avatar" class="prc-Avatar-Avatar-ZRS-m" alt="" data-square="" width="20" height="20" src="https://github.com/TheAlgorithms.png?size=40" data-testid="github-avatar" style="--avatarSize-regular: 20px;"></div><div class="Box-sc-g0xbh4-0 MHoGG search-title"><a class="prc-Link-Link-85e08" href="/TheAlgorithms/Python"><span class="Box-sc-g0xbh4-0 kzfhBO search-match prc-Text-Text-0ima0">TheAlgorithms/<em>Python</em></span></a></div></div></h3><div class="Box-sc-g0xbh4-0 dcdlju"><span class="Box-sc-g0xbh4-0 gKFdvh search-match prc-Text-Text-0ima0">All Algorithms implemented in <em>Python</em></span></div><div class="Box-sc-g0xbh4-0 jgRnBg"><div><a class="Box-sc-g0xbh4-0 hIVEGR prc-Link-Link-85e08" href="/topics/python">python</a></div><div><a class="Box-sc-g0xbh4-0 hIVEGR prc-Link-Link-85e08" href="/topics/education">education</a></div><div><a class="Box-sc-g0xbh4-0 hIVEGR prc-Link-Link-85e08" href="/topics/algorithm">algorithm</a></div><div><a class="Box-sc-g0xbh4-0 hIVEGR prc-Link-Link-85e08" href="/topics/practice">practice</a></div><div><a class="Box-sc-g0xbh4-0 hIVEGR prc-Link-Link-85e08" href="/topics/interview">interview</a></div></div><ul class="Box-sc-g0xbh4-0 bZkODq"><li class="Box-sc-g0xbh4-0 eCfCAC"><div class="Box-sc-g0xbh4-0 hjDqIa"><div class="Box-sc-g0xbh4-0 fwSYsx"></div></div><span aria-label="Python language">Python</span></li><span class="Box-sc-g0xbh4-0 eXQoFa prc-Text-Text-0ima0" aria-hidden="true">·</span><li class="Box-sc-g0xbh4-0 eCfCAC"><a class="Box-sc-g0xbh4-0 iPuHRc prc-Link-Link-85e08" href="/TheAlgorithms/Python/stargazers" aria-label="201161 stars"><svg aria-hidden="true" focusable="false" class="octicon octicon-star Octicon-sc-9kayk9-0 kHVtWu" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align: text-bottom;"><path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path></svg><span class="prc-Text-Text-0ima0">201k</span></a></li><span class="Box-sc-g0xbh4-0 eXQoFa prc-Text-Text-0ima0" aria-hidden="true">·</span><li class="Box-sc-g0xbh4-0 eCfCAC"><span>Updated <div title="3 Jun 2025, 01:57 GMT+8" class="Truncate__StyledTruncate-sc-23o1d2-0 liVpTx"><span class="prc-Text-Text-0ima0" title="3 Jun 2025, 01:57 GMT+8">4 days ago</span></div></span></li></ul></div><div class="Box-sc-g0xbh4-0 gtlRHe"><div class="Box-sc-g0xbh4-0 fvaNTI"><button type="button" class="prc-Button-ButtonBase-c50BI" data-loading="false" data-size="small" data-variant="default" aria-describedby=":r1c:-loading-announcement"><span data-component="buttonContent" data-align="center" class="prc-Button-ButtonContent-HKbr-"><span data-component="leadingVisual" class="prc-Button-Visual-2epfX prc-Button-VisualWrap-Db-eB"><svg aria-hidden="true" focusable="false" class="octicon octicon-star" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align: text-bottom;"><path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path></svg></span><span data-component="text" class="prc-Button-Label-pTQ3x">Star</span></span></button></div><div class="Box-sc-g0xbh4-0 llZEgI"><div class="Box-sc-g0xbh4-0"> <button id="dialog-show-funding-links-modal-TheAlgorithms-Python" aria-label="Sponsor TheAlgorithms/Python" data-show-dialog-id="funding-links-modal-TheAlgorithms-Python" type="button" data-view-component="true" class="Button--secondary Button--small Button"> <span class="Button-content">
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</div>
<div class="Overlay-actionWrap">
<button data-close-dialog-id="funding-links-modal-TheAlgorithms-Python" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x">
<path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path>
</svg></button>
</div>
</div>
</div>
<scrollable-region data-labelled-by="funding-links-modal-TheAlgorithms-Python-title" data-catalyst="" style="overflow: auto;">
<div data-view-component="true" class="Overlay-body"> <div class="text-left f5">
<div class="pt-3 color-bg-overlay">
<h5 class="flex-auto mb-3 mt-0">External links</h5>
<div class="d-flex mb-3">
<div class="circle mr-2 border d-flex flex-justify-center flex-items-center flex-shrink-0" style="width:24px;height:24px;">
<img width="16" height="16" class="octicon rounded-2 d-block" alt="liberapay" src="https://github.githubassets.com/assets/liberapay-48108ded7267.svg">
</div>
<div class="flex-auto min-width-0">
<a target="_blank" data-ga-click="Dashboard, click, Nav menu - item:org-profile context:organization" data-hydro-click="{&quot;event_type&quot;:&quot;sponsors.repo_funding_links_link_click&quot;,&quot;payload&quot;:{&quot;platform&quot;:{&quot;platform_type&quot;:&quot;LIBERAPAY&quot;,&quot;platform_url&quot;:&quot;https://liberapay.com/TheAlgorithms&quot;},&quot;platforms&quot;:[{&quot;platform_type&quot;:&quot;LIBERAPAY&quot;,&quot;platform_url&quot;:&quot;https://liberapay.com/TheAlgorithms&quot;}],&quot;repo_id&quot;:63476337,&quot;owner_id&quot;:20487725,&quot;user_id&quot;:12494079,&quot;originating_url&quot;:&quot;https://github.com/TheAlgorithms/Python/funding_links?fragment=1&quot;}}" data-hydro-click-hmac="123b5aa7d5ffff5ef0530f8e7fbaebcb564e8de1af26f1b858a19b0e1d4f9e5f" href="https://liberapay.com/TheAlgorithms"><span>liberapay.com/<strong>TheAlgorithms</strong></span></a>
</div>
</div>
</div>
<div class="text-small p-3 border-top">
<p class="my-0">
<a class="Link--inTextBlock" href="https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/displaying-a-sponsor-button-in-your-repository">Learn more about funding links in repositories</a>.
</p>
<p class="my-0">
<a class="Link--secondary" href="/contact/report-abuse?report=TheAlgorithms%2FPython+%28Repository+Funding+Links%29">Report abuse</a>
</p>
</div>
</div>
</div>
</scrollable-region>
</dialog></dialog-helper>
</div></div></div></div></div>
@@ -0,0 +1,336 @@
<form id="search_form" class="search_repos" data-turbo="false" action="/search" accept-charset="UTF-8" method="get">
<div class="pagehead codesearch-head color-border-muted">
<div class="container-lg p-responsive d-flex flex-column flex-md-row">
<h1 class="flex-shrink-0" id="search-title">Advanced search</h1>
<div class="search-form-fluid flex-auto d-flex flex-column flex-md-row pt-2 pt-md-0" id="adv_code_search">
<div class="flex-auto pr-md-2">
<label class="form-control search-page-label js-advanced-search-label">
<input aria-labelledby="search-title" class="form-control input-block search-page-input js-advanced-search-input js-advanced-search-prefix" data-search-prefix="" type="text" value="">
<p class="completed-query js-advanced-query top-0 right-0 left-0"><span></span> </p>
</label>
<input class="js-search-query" type="hidden" name="q" value="">
<input class="js-type-value" type="hidden" name="type" value="Repositories">
<input type="hidden" name="ref" value="advsearch">
</div>
<div class="d-flex d-md-block flex-shrink-0 pt-2 pt-md-0">
<button type="submit" data-view-component="true" class="btn flex-auto"> Search
</button>
</div>
</div>
</div>
</div>
<div class="container-lg p-responsive advanced-search-form">
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Advanced options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_from">From these owners</label></dt>
<dd><input id="search_from" type="text" class="form-control js-advanced-search-prefix" placeholder="github, atom, electron, octokit" data-search-prefix="user:"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_repos">In these repositories</label></dt>
<dd><input id="search_repos" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="twbs/bootstrap, rails/rails" data-search-prefix="repo:"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_date">Created on the dates</label></dt>
<dd><input id="search_date" type="text" class="form-control js-advanced-search-prefix" value="" placeholder=">YYYY-MM-DD, YYYY-MM-DD" data-search-prefix="created:"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_language">Written in this language</label></dt>
<dd>
<select id="search_language" name="l" class="form-select js-advanced-search-prefix" data-search-prefix="language:">
<option value="">Any language</option>
<optgroup label="Popular">
<option value="C">C</option>
<option value="C#">C#</option>
<option value="C++">C++</option>
<option value="CoffeeScript">CoffeeScript</option>
<option value="CSS">CSS</option>
<option value="Dart">Dart</option>
<option value="DM">DM</option>
<option value="Elixir">Elixir</option>
<option value="Go">Go</option>
<option value="Groovy">Groovy</option>
<option value="HTML">HTML</option>
<option value="Java">Java</option>
<option value="JavaScript">JavaScript</option>
<option value="Kotlin">Kotlin</option>
<option value="Objective-C">Objective-C</option>
<option value="Perl">Perl</option>
<option value="PHP">PHP</option>
<option value="PowerShell">PowerShell</option>
<option value="Python">Python</option>
<option value="Ruby">Ruby</option>
<option value="Rust">Rust</option>
<option value="Scala">Scala</option>
<option value="Shell">Shell</option>
<option value="Swift">Swift</option>
<option value="TypeScript">TypeScript</option>
</optgroup>
<optgroup label="Everything else">
<option value="1C Enterprise">1C Enterprise</option>
<option value="2-Dimensional Array">2-Dimensional Array</option>
<option value="4D">4D</option>
<option value="ABAP">ABAP</option>
<option value="ABAP CDS">ABAP CDS</option>
<option value="ABNF">ABNF</option>
<option value="ActionScript">ActionScript</option>
<option value="Ada">Ada</option>
<option value="Adblock Filter List">Adblock Filter List</option>
<option value="Adobe Font Metrics">Adobe Font Metrics</option>
<option value="Agda">Agda</option>
<option value="AGS Script">AGS Script</option>
<option value="AIDL">AIDL</option>
<option value="Aiken">Aiken</option>
</optgroup>
</select>
</dd>
</dl>
</fieldset>
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Repositories options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_stars">With this many stars</label></dt>
<dd><input id="search_stars" type="text" class="form-control js-advanced-search-prefix" placeholder="0..100, 200, >1000" data-search-prefix="stars:" data-search-type="Repositories"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_forks">With this many forks</label></dt>
<dd><input id="search_forks" type="text" class="form-control js-advanced-search-prefix" placeholder="50..100, 200, <5" data-search-prefix="forks:" data-search-type="Repositories"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_size">Of this size</label></dt>
<dd><input id="search_size" type="text" class="form-control js-advanced-search-prefix" placeholder="Repository size in KB" data-search-prefix="size:" data-search-type="Repositories"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_push">Pushed to</label></dt>
<dd><input id="search_push" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="<YYYY-MM-DD" data-search-prefix="pushed:" data-search-type="Repositories"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_license">With this license</label></dt>
<dd>
<select id="search_license" class="form-select js-advanced-search-prefix" data-search-prefix="license:" data-search-type="Repositories">
<option value="">Any license</option>
<optgroup label="Licenses">
<option value="0bsd">BSD Zero Clause License</option>
<option value="afl-3.0">Academic Free License v3.0</option>
<option value="agpl-3.0">GNU Affero General Public License v3.0</option>
<option value="apache-2.0">Apache License 2.0</option>
<option value="artistic-2.0">Artistic License 2.0</option>
<option value="blueoak-1.0.0">Blue Oak Model License 1.0.0</option>
<option value="bsd-2-clause">BSD 2-Clause "Simplified" License</option>
<option value="bsd-2-clause-patent">BSD-2-Clause Plus Patent License</option>
<option value="bsd-3-clause">BSD 3-Clause "New" or "Revised" License</option>
<option value="bsd-3-clause-clear">BSD 3-Clause Clear License</option>
<option value="bsd-4-clause">BSD 4-Clause "Original" or "Old" License</option>
<option value="bsl-1.0">Boost Software License 1.0</option>
<option value="cc-by-4.0">Creative Commons Attribution 4.0 International</option>
<option value="cc-by-sa-4.0">Creative Commons Attribution Share Alike 4.0 International</option>
<option value="cc0-1.0">Creative Commons Zero v1.0 Universal</option>
<option value="cecill-2.1">CeCILL Free Software License Agreement v2.1</option>
<option value="cern-ohl-p-2.0">CERN Open Hardware Licence Version 2 - Permissive</option>
<option value="cern-ohl-s-2.0">CERN Open Hardware Licence Version 2 - Strongly Reciprocal</option>
<option value="cern-ohl-w-2.0">CERN Open Hardware Licence Version 2 - Weakly Reciprocal</option>
<option value="ecl-2.0">Educational Community License v2.0</option>
<option value="epl-1.0">Eclipse Public License 1.0</option>
<option value="epl-2.0">Eclipse Public License 2.0</option>
<option value="eupl-1.1">European Union Public License 1.1</option>
<option value="eupl-1.2">European Union Public License 1.2</option>
<option value="gfdl-1.3">GNU Free Documentation License v1.3</option>
<option value="gpl-2.0">GNU General Public License v2.0</option>
<option value="gpl-3.0">GNU General Public License v3.0</option>
<option value="isc">ISC License</option>
<option value="lgpl-2.1">GNU Lesser General Public License v2.1</option>
<option value="lgpl-3.0">GNU Lesser General Public License v3.0</option>
<option value="lppl-1.3c">LaTeX Project Public License v1.3c</option>
<option value="mit">MIT License</option>
<option value="mit-0">MIT No Attribution</option>
<option value="mpl-2.0">Mozilla Public License 2.0</option>
<option value="ms-pl">Microsoft Public License</option>
<option value="ms-rl">Microsoft Reciprocal License</option>
<option value="mulanpsl-2.0">Mulan Permissive Software License, Version 2</option>
<option value="ncsa">University of Illinois/NCSA Open Source License</option>
<option value="odbl-1.0">Open Data Commons Open Database License v1.0</option>
<option value="ofl-1.1">SIL Open Font License 1.1</option>
<option value="osl-3.0">Open Software License 3.0</option>
<option value="postgresql">PostgreSQL License</option>
<option value="unlicense">The Unlicense</option>
<option value="upl-1.0">Universal Permissive License v1.0</option>
<option value="vim">Vim License</option>
<option value="wtfpl">Do What The F*ck You Want To Public License</option>
<option value="zlib">zlib License</option>
</optgroup>
<optgroup label="License families">
<option value="cc">Creative Commons</option>
<option value="gpl">GNU General Public License</option>
<option value="lgpl">GNU Lesser General Public License</option>
</optgroup>
</select>
</dd>
</dl>
<label>
Return repositories <select class="form-select js-advanced-search-prefix" data-search-prefix="fork:" data-search-type="Repositories">
<option value="">not</option>
<option value="true">and</option>
<option value="only">only</option>
</select> including forks.
</label>
</fieldset>
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Code options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_extension">With this extension</label></dt>
<dd>
<input id="search_extension" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="rb, py, jpg" data-search-type="Code" data-search-prefix="path:" data-glob-pattern="*.$0" data-regex-pattern="/.$0$/" data-use-or="true">
</dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_path">In this path</label></dt>
<dd><input id="search_path" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="/foo/bar/baz/qux" data-search-prefix="path:" data-search-type="Code" data-use-or=""></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_filename">With this file name</label></dt>
<dd>
<input id="search_filename" type="text" class="form-control js-advanced-search-prefix" placeholder="app.rb, footer.erb" data-search-type="code:" data-search-prefix="path:" data-glob-pattern="**/$0" data-regex-pattern="/(^|/)$0$/" data-use-or="true">
</dd>
</dl>
<label>
Return code <select class="form-select js-advanced-search-prefix" data-search-prefix="fork:" data-search-type="Code">
<option value="">not</option>
<option value="true">and</option>
<option value="only">only</option>
</select> including forks.
</label>
</fieldset>
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Issues options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_state">In the state</label></dt>
<dd><select id="search_state" class="form-select js-advanced-search-prefix" data-search-prefix="state:" data-search-type="Issues">
<option value="">open/closed</option>
<option value="open">open</option>
<option value="closed">closed</option>
</select></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_state_reason">With the reason</label></dt>
<dd><select id="search_state_reason" class="form-select js-advanced-search-prefix" data-search-prefix="reason:" data-search-type="Issues">
<option value="">any reason</option>
<option value="completed">completed</option>
<option value="not planned">not planned</option>
<option value="reopened">reopened</option>
</select></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_comments">With this many comments</label></dt>
<dd><input id="search_comments" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="0..100, >442" data-search-prefix="comments:" data-search-type="Issues"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_labels">With the labels</label></dt>
<dd><input id="search_labels" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="bug, ie6" data-search-prefix="label:" data-search-type="Issues"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_author">Opened by the author</label></dt>
<dd><input id="search_author" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="hubot, octocat" data-search-prefix="author:" data-search-type="Issues"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_mention">Mentioning the users</label></dt>
<dd><input id="search_mention" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="tpope, mattt" data-search-prefix="mentions:" data-search-type="Issues"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_assignment">Assigned to the users</label></dt>
<dd><input id="search_assignment" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="twp, jim" data-search-prefix="assignee:" data-search-type="Issues"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_updated_date">Updated before the date</label></dt>
<dd><input id="search_updated_date" type="text" class="form-control js-advanced-search-prefix" value="" placeholder="<YYYY-MM-DD" data-search-prefix="updated:" data-search-type="Issues"></dd>
</dl>
</fieldset>
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Users options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_full_name">With this full name</label></dt>
<dd><input id="search_full_name" type="text" class="form-control js-advanced-search-prefix" placeholder="Grace Hopper" data-search-prefix="fullname:" data-search-type="Users"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_location">From this location</label></dt>
<dd><input id="search_location" type="text" class="form-control js-advanced-search-prefix" placeholder="San Francisco, CA" data-search-prefix="location:" data-search-type="Users"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_followers">With this many followers</label></dt>
<dd><input id="search_followers" type="text" class="form-control js-advanced-search-prefix" placeholder="20..50, >200, <2" data-search-prefix="followers:" data-search-type="Users"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_public_repos">With this many public repositories</label></dt>
<dd><input id="search_public_repos" type="text" class="form-control js-advanced-search-prefix" placeholder="0, <42, >5" data-search-prefix="repos:" data-search-type="Users"></dd>
</dl>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_user_language">Working in this language</label></dt>
<dd>
<select id="search_user_language" name="l" class="form-select js-advanced-search-prefix" data-search-prefix="language:">
<option value="">Any language</option>
<optgroup label="Popular">
<option value="C">C</option>
<option value="C#">C#</option>
<option value="C++">C++</option>
<option value="CoffeeScript">CoffeeScript</option>
<option value="CSS">CSS</option>
<option value="Dart">Dart</option>
<option value="DM">DM</option>
<option value="Elixir">Elixir</option>
<option value="Go">Go</option>
<option value="Groovy">Groovy</option>
<option value="HTML">HTML</option>
<option value="Java">Java</option>
<option value="JavaScript">JavaScript</option>
<option value="Kotlin">Kotlin</option>
<option value="Objective-C">Objective-C</option>
<option value="Perl">Perl</option>
<option value="PHP">PHP</option>
<option value="PowerShell">PowerShell</option>
<option value="Python">Python</option>
<option value="Ruby">Ruby</option>
<option value="Rust">Rust</option>
<option value="Scala">Scala</option>
<option value="Shell">Shell</option>
<option value="Swift">Swift</option>
<option value="TypeScript">TypeScript</option>
</optgroup>
<optgroup label="Everything else">
<option value="1C Enterprise">1C Enterprise</option>
<option value="2-Dimensional Array">2-Dimensional Array</option>
<option value="4D">4D</option>
<option value="ABAP">ABAP</option>
<option value="ABAP CDS">ABAP CDS</option>
<option value="ABNF">ABNF</option>
<option value="ActionScript">ActionScript</option>
<option value="Ada">Ada</option>
<option value="Yul">Yul</option>
<option value="ZAP">ZAP</option>
<option value="Zeek">Zeek</option>
<option value="ZenScript">ZenScript</option>
<option value="Zephir">Zephir</option>
<option value="Zig">Zig</option>
<option value="ZIL">ZIL</option>
<option value="Zimpl">Zimpl</option>
<option value="Zmodel">Zmodel</option>
</optgroup>
</select>
</dd>
</dl>
</fieldset>
<fieldset class="pb-3 mb-4 border-bottom color-border-muted min-width-0">
<h3>Wiki options</h3>
<dl class="form-group flattened d-flex d-md-block flex-column">
<dt><label for="search_wiki_updated_date">Updated before the date</label></dt>
<dd><input id="search_wiki_updated_date" type="text" class="form-control js-advanced-search-prefix" placeholder="<YYYY-MM-DD" data-search-prefix="updated:" data-search-type="Wiki"></dd>
</dl>
</fieldset>
<div class="form-group flattened">
<div class="d-flex d-md-block"> <button type="submit" data-view-component="true" class="btn flex-auto"> Search
</button></div>
</div>
</div>
</form>
@@ -0,0 +1,7 @@
GO https://store.example.com/product/laptop
WAIT `.product-details` 8
CLICK `button.add-to-cart`
WAIT `.cart-notification` 3
CLICK `.cart-icon`
WAIT `.checkout-btn` 5
CLICK `.checkout-btn`
@@ -0,0 +1,43 @@
# Advanced control flow with IF, EXISTS, and REPEAT
# Define reusable procedures
PROC handle_cookie_banner
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept-cookies`
IF (EXISTS `.privacy-notice`) THEN CLICK `.dismiss-privacy`
ENDPROC
PROC scroll_to_load
SCROLL DOWN 500
WAIT 0.5
ENDPROC
PROC try_login
CLICK `#email`
TYPE "user@example.com"
CLICK `#password`
TYPE "secure123"
CLICK `button[type="submit"]`
WAIT 2
ENDPROC
# Main script
GO https://example.com
WAIT 2
# Handle popups
handle_cookie_banner
# Conditional navigation based on login state
IF (EXISTS `.user-menu`) THEN CLICK `.dashboard-link` ELSE try_login
# Repeat scrolling based on content count
REPEAT (scroll_to_load, 5)
# Load more content while button exists
REPEAT (CLICK `.load-more`, `document.querySelector('.load-more') && !document.querySelector('.no-more-content')`)
# Process items conditionally
IF (`document.querySelectorAll('.item').length > 10`) THEN EVAL `console.log('Found ' + document.querySelectorAll('.item').length + ' items')`
# Complex condition with viewport check
IF (`window.innerWidth < 768 && document.querySelector('.mobile-menu')`) THEN CLICK `.mobile-menu-toggle`
@@ -0,0 +1,8 @@
GO https://myapp.com
WAIT 2
IF (EXISTS `.user-avatar`) THEN CLICK `.logout` ELSE CLICK `.login`
WAIT `#auth-form` 5
IF (EXISTS `#auth-form`) THEN TYPE "user@example.com"
IF (EXISTS `#auth-form`) THEN PRESS Tab
IF (EXISTS `#auth-form`) THEN TYPE "password123"
IF (EXISTS `#auth-form`) THEN CLICK `button[type="submit"]`
@@ -0,0 +1,56 @@
# Data extraction example
# Scrapes product information from an e-commerce site
# Navigate to products page
GO https://shop.example.com/products
WAIT `.product-list` 10
# Scroll to load lazy-loaded content
SCROLL DOWN 500
WAIT 1
SCROLL DOWN 500
WAIT 1
SCROLL DOWN 500
WAIT 2
# Extract product data
EVAL `
// Extract all product information
const products = Array.from(document.querySelectorAll('.product-card')).map((card, index) => {
return {
id: index + 1,
name: card.querySelector('.product-title')?.textContent?.trim() || 'N/A',
price: card.querySelector('.price')?.textContent?.trim() || 'N/A',
rating: card.querySelector('.rating')?.textContent?.trim() || 'N/A',
availability: card.querySelector('.in-stock') ? 'In Stock' : 'Out of Stock',
image: card.querySelector('img')?.src || 'N/A'
};
});
// Log results
console.log('=== Product Extraction Results ===');
console.log('Total products found:', products.length);
console.log(JSON.stringify(products, null, 2));
// Save to localStorage for retrieval
localStorage.setItem('scraped_products', JSON.stringify(products));
`
# Optional: Click on first product for details
CLICK `.product-card:first-child`
WAIT `.product-details` 5
# Extract detailed information
EVAL `
const details = {
description: document.querySelector('.product-description')?.textContent?.trim(),
specifications: Array.from(document.querySelectorAll('.spec-item')).map(spec => ({
label: spec.querySelector('.spec-label')?.textContent,
value: spec.querySelector('.spec-value')?.textContent
})),
reviews: document.querySelector('.review-count')?.textContent
};
console.log('=== Product Details ===');
console.log(JSON.stringify(details, null, 2));
`
@@ -0,0 +1,8 @@
GO https://company.com/contact
WAIT `form#contact` 10
TYPE "John Smith"
PRESS Tab
TYPE "john@email.com"
PRESS Tab
TYPE "Need help with my order"
CLICK `button[type="submit"]`
@@ -0,0 +1,7 @@
GO https://news.example.com
WAIT `.article-list` 5
REPEAT (SCROLL DOWN 500, 3)
WAIT 1
REPEAT (CLICK `.load-more`, `document.querySelector('.load-more') !== null`)
WAIT 2
IF (`document.querySelectorAll('.article').length > 20`) THEN EVAL `console.log('Loaded enough articles')`
@@ -0,0 +1,36 @@
# Login flow with error handling
# Demonstrates procedures, variables, and conditional checks
# Define login procedure
PROC perform_login
CLICK `input#email`
TYPE $email
CLICK `input#password`
TYPE $password
CLICK `button.login-submit`
ENDPROC
# Set credentials
SET email = "user@example.com"
SET password = "securePassword123"
# Navigate to login page
GO https://app.example.com/login
WAIT `.login-container` 15
# Attempt login
perform_login
# Wait for page to load
WAIT 3
# Check if login was successful
EVAL `
if (document.querySelector('.dashboard')) {
console.log('Login successful - on dashboard');
} else if (document.querySelector('.error-message')) {
console.log('Login failed:', document.querySelector('.error-message').textContent);
} else {
console.log('Unknown state after login');
}
`
@@ -0,0 +1,106 @@
# Multi-step e-commerce workflow
# Complete purchase flow with procedures and error handling
# Reusable procedures
PROC search_product
CLICK `input.search-bar`
TYPE $search_term
PRESS Enter
WAIT `.search-results` 10
ENDPROC
PROC add_first_item_to_cart
CLICK `.product-item:first-child .add-to-cart`
WAIT ".added-to-cart-notification" 3
ENDPROC
PROC go_to_checkout
CLICK `.cart-icon`
WAIT `.cart-drawer` 5
CLICK `button.proceed-to-checkout`
WAIT `.checkout-page` 10
ENDPROC
PROC fill_customer_info
# Billing information
CLICK `#billing-firstname`
TYPE $first_name
CLICK `#billing-lastname`
TYPE $last_name
CLICK `#billing-email`
TYPE $email
CLICK `#billing-phone`
TYPE $phone
# Address
CLICK `#billing-address`
TYPE $address
CLICK `#billing-city`
TYPE $city
CLICK `#billing-state`
TYPE $state
CLICK `#billing-zip`
TYPE $zip
ENDPROC
PROC select_shipping
CLICK `input[value="standard"]`
WAIT 1
ENDPROC
# Set all required variables
SET search_term = "wireless headphones"
SET first_name = "John"
SET last_name = "Doe"
SET email = "john.doe@example.com"
SET phone = "555-0123"
SET address = "123 Main Street"
SET city = "San Francisco"
SET state = "CA"
SET zip = "94105"
# Main workflow starts here
GO https://shop.example.com
WAIT `.homepage-loaded` 10
# Step 1: Search and add to cart
search_product
EVAL `console.log('Found', document.querySelectorAll('.product-item').length, 'products')`
add_first_item_to_cart
# Add a second item
CLICK `.product-item:nth-child(2) .add-to-cart`
WAIT 2
# Step 2: Go to checkout
go_to_checkout
# Step 3: Fill customer information
fill_customer_info
# Step 4: Select shipping method
select_shipping
# Step 5: Continue to payment
CLICK `button.continue-to-payment`
WAIT `.payment-section` 10
# Log order summary
EVAL `
const orderTotal = document.querySelector('.order-total')?.textContent;
const itemCount = document.querySelectorAll('.order-item').length;
console.log('=== Order Summary ===');
console.log('Items:', itemCount);
console.log('Total:', orderTotal);
// Get all items
const items = Array.from(document.querySelectorAll('.order-item')).map(item => ({
name: item.querySelector('.item-name')?.textContent,
quantity: item.querySelector('.item-quantity')?.textContent,
price: item.querySelector('.item-price')?.textContent
}));
console.log('Items:', JSON.stringify(items, null, 2));
`
# Note: Stopping here before actual payment submission
EVAL `console.log('Workflow completed - stopped before payment submission')`
@@ -0,0 +1,8 @@
GO https://app.example.com
WAIT `.nav-menu` 8
CLICK `a[href="/products"]`
WAIT 2
CLICK `a[href="/about"]`
WAIT 2
BACK
WAIT 1
@@ -0,0 +1,8 @@
GO https://myapp.com/login
WAIT `input#email` 5
CLICK `input#email`
TYPE "user@example.com"
PRESS Tab
TYPE "password123"
CLICK `button.login-btn`
WAIT `.dashboard` 10
@@ -0,0 +1,7 @@
GO https://responsive.site.com
WAIT 2
IF (`window.innerWidth < 768`) THEN CLICK `.mobile-menu`
IF (`window.innerWidth < 768`) THEN WAIT `.mobile-nav` 3
IF (`window.innerWidth >= 768`) THEN CLICK `.desktop-menu li:nth-child(2)`
REPEAT (CLICK `.next-slide`, 5)
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept-cookies`
@@ -0,0 +1,8 @@
GO https://news.site.com
WAIT `.article-list` 10
SCROLL DOWN 500
WAIT 1
SCROLL DOWN 500
WAIT 1
CLICK `.article:nth-child(5)`
WAIT `.article-content` 5
@@ -0,0 +1,7 @@
GO https://shop.example.com
WAIT `.search-bar` 10
CLICK `.search-bar`
TYPE "wireless headphones"
PRESS Enter
WAIT `.results` 5
CLICK `.product-card:first-child`
@@ -0,0 +1,19 @@
# Simple form submission example
# This script fills out a contact form and submits it
GO https://example.com/contact
WAIT `form#contact-form` 10
# Fill out the form fields
CLICK `input[name="name"]`
TYPE "Alice Smith"
PRESS Tab
TYPE "alice@example.com"
PRESS Tab
TYPE "I'd like to learn more about your services"
# Submit the form
CLICK `button[type="submit"]`
# Wait for success message
WAIT "Thank you for your message" 5
@@ -0,0 +1,11 @@
PROC fill_field
TYPE "test@example.com"
PRESS Tab
ENDPROC
GO https://forms.example.com
WAIT `form` 5
IF (EXISTS `input[type="email"]`) THEN CLICK `input[type="email"]`
IF (EXISTS `input[type="email"]`) THEN fill_field
REPEAT (PRESS Tab, `document.activeElement.type !== 'submit'`)
CLICK `button[type="submit"]`
+396
View File
@@ -0,0 +1,396 @@
# C4A-Script Interactive Tutorial
A comprehensive web-based tutorial for learning and experimenting with C4A-Script - Crawl4AI's visual web automation language.
## 🚀 Quick Start
### Prerequisites
- Python 3.7+
- Modern web browser (Chrome, Firefox, Safari, Edge)
### Running the Tutorial
1. **Clone and Navigate**
```bash
git clone https://github.com/unclecode/crawl4ai.git
cd crawl4ai/docs/examples/c4a_script/tutorial/
```
2. **Install Dependencies**
```bash
pip install -r requirements.txt
```
3. **Launch the Server**
```bash
python server.py
```
4. **Open in Browser**
```
http://localhost:8000
```
**🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
### 2. Try Your First Script
```c4a
# Basic interaction
GO playground/
WAIT `body` 2
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
CLICK `#start-tutorial`
```
## 🎯 What You'll Learn
### Core Features
- **📝 Text Editor**: Write C4A-Script with syntax highlighting
- **🧩 Visual Editor**: Build scripts using drag-and-drop Blockly interface
- **🎬 Recording Mode**: Capture browser actions and auto-generate scripts
- **⚡ Live Execution**: Run scripts in real-time with instant feedback
- **📊 Timeline View**: Visualize and edit automation steps
## 📚 Tutorial Content
### Basic Commands
- **Navigation**: `GO url`
- **Waiting**: `WAIT selector timeout` or `WAIT seconds`
- **Clicking**: `CLICK selector`
- **Typing**: `TYPE "text"`
- **Scrolling**: `SCROLL DOWN/UP amount`
### Control Flow
- **Conditionals**: `IF (condition) THEN action`
- **Loops**: `REPEAT (action, condition)`
- **Procedures**: Define reusable command sequences
### Advanced Features
- **JavaScript evaluation**: `EVAL code`
- **Variables**: `SET name = "value"`
- **Complex selectors**: CSS selectors in backticks
## 🎮 Interactive Playground Features
The tutorial includes a fully interactive web app with:
### 1. **Authentication System**
- Login form with validation
- Session management
- Protected content
### 2. **Dynamic Content**
- Infinite scroll products
- Pagination controls
- Load more buttons
### 3. **Complex Forms**
- Multi-step wizards
- Dynamic field visibility
- Form validation
### 4. **Interactive Elements**
- Tabs and accordions
- Modals and popups
- Expandable content
### 5. **Data Tables**
- Sortable columns
- Search functionality
- Export options
## 🛠️ Tutorial Features
### Live Code Editor
- Syntax highlighting
- Real-time compilation
- Error messages with suggestions
### JavaScript Output Viewer
- See generated JavaScript code
- Edit and test JS directly
- Understand the compilation
### Visual Execution
- Step-by-step progress
- Element highlighting
- Console output
### Example Scripts
Load pre-written examples demonstrating:
- Cookie banner handling
- Login workflows
- Infinite scroll automation
- Multi-step form completion
- Complex interaction sequences
## 📖 Tutorial Sections
### 1. Getting Started
Learn basic commands and syntax:
```c4a
GO https://example.com
WAIT `.content` 5
CLICK `.button`
```
### 2. Handling Dynamic Content
Master waiting strategies and conditionals:
```c4a
IF (EXISTS `.popup`) THEN CLICK `.close`
WAIT `.results` 10
```
### 3. Form Automation
Fill and submit forms:
```c4a
CLICK `#email`
TYPE "user@example.com"
CLICK `button[type="submit"]`
```
### 4. Advanced Workflows
Build complex automation flows:
```c4a
PROC login
CLICK `#username`
TYPE $username
CLICK `#password`
TYPE $password
CLICK `#login-btn`
ENDPROC
SET username = "demo"
SET password = "pass123"
login
```
## 🎯 Practice Challenges
### Challenge 1: Cookie & Popups
Handle the cookie banner and newsletter popup that appear on page load.
### Challenge 2: Complete Login
Successfully log into the application using the demo credentials.
### Challenge 3: Load All Products
Use infinite scroll to load all 100 products in the catalog.
### Challenge 4: Multi-step Survey
Complete the entire multi-step survey form.
### Challenge 5: Full Workflow
Create a script that logs in, browses products, and exports data.
## 💡 Tips & Tricks
### 1. Use Specific Selectors
```c4a
# Good - specific
CLICK `button.submit-order`
# Bad - too generic
CLICK `button`
```
### 2. Always Handle Popups
```c4a
# Check for common popups
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
IF (EXISTS `.newsletter-modal`) THEN CLICK `.close`
```
### 3. Add Appropriate Waits
```c4a
# Wait for elements before interacting
WAIT `.form` 5
CLICK `#submit`
```
### 4. Use Procedures for Reusability
```c4a
PROC handle_popups
IF (EXISTS `.popup`) THEN CLICK `.close`
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
ENDPROC
# Use anywhere
handle_popups
```
## 🔧 Troubleshooting
### Common Issues
1. **"Element not found"**
- Add a WAIT before clicking
- Check selector specificity
- Verify element exists with IF
2. **"Timeout waiting for selector"**
- Increase timeout value
- Check if element is dynamically loaded
- Verify selector is correct
3. **"Missing THEN keyword"**
- All IF statements need THEN
- Format: `IF (condition) THEN action`
## 🚀 Using with Crawl4AI
Once you've mastered C4A-Script in the tutorial, use it with Crawl4AI:
```python
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
config = CrawlerRunConfig(
url="https://example.com",
c4a_script="""
WAIT `.content` 5
IF (EXISTS `.load-more`) THEN CLICK `.load-more`
WAIT `.new-content` 3
"""
)
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(config=config)
```
## 📝 Example Scripts
Check the `scripts/` folder for complete examples:
- `01-basic-interaction.c4a` - Getting started
- `02-login-flow.c4a` - Authentication
- `03-infinite-scroll.c4a` - Dynamic content
- `04-multi-step-form.c4a` - Complex forms
- `05-complex-workflow.c4a` - Full automation
## 🏗️ Developer Guide
### Project Architecture
```
tutorial/
├── server.py # Flask application server
├── assets/ # Tutorial-specific assets
│ ├── app.js # Main application logic
│ ├── c4a-blocks.js # Custom Blockly blocks
│ ├── c4a-generator.js # Code generation
│ ├── blockly-manager.js # Blockly integration
│ └── styles.css # Main styling
├── playground/ # Interactive demo environment
│ ├── index.html # Demo web application
│ ├── app.js # Demo app logic
│ └── styles.css # Demo styling
├── scripts/ # Example C4A scripts
└── index.html # Main tutorial interface
```
### Key Components
#### 1. TutorialApp (`assets/app.js`)
Main application controller managing:
- Code editor integration (CodeMirror)
- Script execution and browser preview
- Tutorial navigation and lessons
- State management and persistence
#### 2. BlocklyManager (`assets/blockly-manager.js`)
Visual programming interface:
- Custom C4A-Script block definitions
- Bidirectional sync between visual blocks and text
- Real-time code generation
- Dark theme integration
#### 3. Recording System
Powers the recording functionality:
- Browser event capture
- Smart event grouping and filtering
- Automatic C4A-Script generation
- Timeline visualization
### Customization
#### Adding New Commands
1. **Define Block** (`assets/c4a-blocks.js`)
2. **Add Generator** (`assets/c4a-generator.js`)
3. **Update Parser** (`assets/blockly-manager.js`)
#### Themes and Styling
- Main styles: `assets/styles.css`
- Theme variables: CSS custom properties
- Dark mode: Auto-applied based on system preference
### Configuration
```python
# server.py configuration
PORT = 8000
DEBUG = True
THREADED = True
```
### API Endpoints
- `GET /` - Main tutorial interface
- `GET /playground/` - Interactive demo environment
- `POST /execute` - Script execution endpoint
- `GET /examples/<script>` - Load example scripts
## 🔧 Troubleshooting
### Common Issues
**Port Already in Use**
```bash
# Kill existing process
lsof -ti:8000 | xargs kill -9
# Or use different port
python server.py --port 8001
```
**Blockly Not Loading**
- Check browser console for JavaScript errors
- Verify all static files are served correctly
- Ensure proper script loading order
**Recording Issues**
- Verify iframe permissions
- Check cross-origin communication
- Ensure event listeners are attached
### Debug Mode
Enable detailed logging by setting `DEBUG = True` in `assets/app.js`
## 📚 Additional Resources
- **[C4A-Script Documentation](../../md_v2/core/c4a-script.md)** - Complete language guide
- **[API Reference](../../md_v2/api/c4a-script-reference.md)** - Detailed command documentation
- **[Live Demo](https://docs.crawl4ai.com/c4a-script/demo)** - Try without installation
- **[Example Scripts](../)** - More automation examples
## 🤝 Contributing
### Bug Reports
1. Check existing issues on GitHub
2. Provide minimal reproduction steps
3. Include browser and system information
4. Add relevant console logs
### Feature Requests
1. Fork the repository
2. Create feature branch: `git checkout -b feature/my-feature`
3. Test thoroughly with different browsers
4. Update documentation
5. Submit pull request
### Code Style
- Use consistent indentation (2 spaces for JS, 4 for Python)
- Add comments for complex logic
- Follow existing naming conventions
- Test with multiple browsers
---
**Happy Automating!** 🎉
Need help? Check our [documentation](https://docs.crawl4ai.com) or open an issue on [GitHub](https://github.com/unclecode/crawl4ai).
@@ -0,0 +1,906 @@
/* ================================================================
C4A-Script Tutorial - App Layout CSS
Terminal theme with Dank Mono font
================================================================ */
/* CSS Variables */
:root {
--bg-primary: #070708;
--bg-secondary: #0e0e10;
--bg-tertiary: #1a1a1b;
--border-color: #2a2a2c;
--border-hover: #3a3a3c;
--text-primary: #e0e0e0;
--text-secondary: #8b8b8d;
--text-muted: #606065;
--primary-color: #0fbbaa;
--primary-hover: #0da89a;
--primary-dim: #0a8577;
--error-color: #ff5555;
--warning-color: #ffb86c;
--success-color: #50fa7b;
--info-color: #8be9fd;
--code-bg: #1e1e20;
--modal-overlay: rgba(0, 0, 0, 0.8);
}
/* Base Reset */
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
/* Fonts */
@font-face {
font-family: 'Dank Mono';
src: url('DankMono-Regular.woff2') format('woff2');
font-weight: 400;
font-style: normal;
}
@font-face {
font-family: 'Dank Mono';
src: url('DankMono-Bold.woff2') format('woff2');
font-weight: 700;
font-style: normal;
}
@font-face {
font-family: 'Dank Mono';
src: url('DankMono-Italic.woff2') format('woff2');
font-weight: 400;
font-style: italic;
}
/* Body & App Container */
body {
font-family: 'Dank Mono', 'Monaco', 'Consolas', monospace;
background: var(--bg-primary);
color: var(--text-primary);
font-size: 14px;
line-height: 1.6;
overflow: hidden;
}
.app-container {
display: flex;
height: 100vh;
width: 100vw;
overflow: hidden;
}
/* Panels */
.editor-panel,
.playground-panel {
display: flex;
flex-direction: column;
height: 100%;
overflow: hidden;
}
.editor-panel {
flex: 1;
background: var(--bg-secondary);
border-right: 1px solid var(--border-color);
min-width: 400px;
}
.playground-panel {
flex: 1;
background: var(--bg-primary);
min-width: 400px;
}
/* Panel Headers */
.panel-header {
display: flex;
justify-content: space-between;
align-items: center;
padding: 12px 16px;
background: var(--bg-tertiary);
border-bottom: 1px solid var(--border-color);
flex-shrink: 0;
}
.panel-header h2 {
font-size: 16px;
font-weight: 600;
color: var(--primary-color);
margin: 0;
}
.header-actions {
display: flex;
gap: 8px;
}
/* Action Buttons */
.action-btn {
display: flex;
align-items: center;
gap: 6px;
padding: 6px 12px;
background: var(--bg-secondary);
color: var(--text-secondary);
border: 1px solid var(--border-color);
border-radius: 4px;
font-family: inherit;
font-size: 13px;
cursor: pointer;
transition: all 0.2s;
}
.action-btn:hover {
background: var(--bg-tertiary);
color: var(--text-primary);
border-color: var(--border-hover);
}
.action-btn.primary {
background: var(--primary-color);
color: var(--bg-primary);
border-color: var(--primary-color);
}
.action-btn.primary:hover {
background: var(--primary-hover);
border-color: var(--primary-hover);
}
.action-btn .icon {
font-size: 16px;
}
/* Editor Wrapper */
.editor-wrapper {
flex: 1;
display: flex;
overflow: hidden;
position: relative;
z-index: 1; /* Ensure it's above any potential overlays */
}
.editor-wrapper .CodeMirror {
flex: 1;
height: 100%;
font-family: 'Dank Mono', monospace;
font-size: 14px;
line-height: 1.5;
}
/* Ensure CodeMirror is interactive */
.CodeMirror {
background: var(--bg-primary) !important;
}
.CodeMirror-scroll {
overflow: auto !important;
}
/* Make cursor more visible */
.CodeMirror-cursor {
border-left: 2px solid var(--primary-color) !important;
border-left-width: 2px !important;
opacity: 1 !important;
visibility: visible !important;
}
/* Ensure cursor is visible when focused */
.CodeMirror-focused .CodeMirror-cursor {
visibility: visible !important;
}
/* Fix for CodeMirror in flex container */
.CodeMirror-sizer {
min-height: auto !important;
}
/* Remove aggressive pointer-events override */
.CodeMirror-code {
cursor: text;
}
.editor-wrapper textarea {
display: none;
}
/* Output Section (Bottom of Editor) */
.output-section {
height: 250px;
border-top: 1px solid var(--border-color);
display: flex;
flex-direction: column;
flex-shrink: 0;
}
/* Tabs */
.tabs {
display: flex;
background: var(--bg-tertiary);
border-bottom: 1px solid var(--border-color);
flex-shrink: 0;
}
.tab {
padding: 8px 20px;
background: transparent;
color: var(--text-secondary);
border: none;
border-bottom: 2px solid transparent;
font-family: inherit;
font-size: 13px;
cursor: pointer;
transition: all 0.2s;
}
.tab:hover {
color: var(--text-primary);
background: var(--bg-secondary);
}
.tab.active {
color: var(--primary-color);
border-bottom-color: var(--primary-color);
}
/* Tab Content */
.tab-content {
flex: 1;
overflow: hidden;
}
.tab-pane {
display: none;
height: 100%;
overflow-y: auto;
}
.tab-pane.active {
display: block;
}
/* Console */
.console {
padding: 12px;
background: var(--bg-primary);
font-size: 13px;
min-height: 100%;
}
.console-line {
margin-bottom: 8px;
display: flex;
align-items: flex-start;
gap: 8px;
}
.console-prompt {
color: var(--primary-color);
flex-shrink: 0;
}
.console-text {
color: var(--text-primary);
}
.console-error {
color: var(--error-color);
}
.console-warning {
color: var(--warning-color);
}
.console-success {
color: var(--success-color);
}
/* JavaScript Output */
.js-output-header {
display: flex;
justify-content: flex-end;
padding: 8px 12px;
background: var(--bg-tertiary);
border-bottom: 1px solid var(--border-color);
}
.js-actions {
display: flex;
gap: 8px;
}
.mini-btn {
padding: 4px 8px;
background: var(--bg-secondary);
color: var(--text-secondary);
border: 1px solid var(--border-color);
border-radius: 3px;
font-size: 12px;
cursor: pointer;
transition: all 0.2s;
}
.mini-btn:hover {
background: var(--bg-primary);
color: var(--text-primary);
}
.js-output {
padding: 12px;
background: var(--code-bg);
color: var(--text-primary);
font-family: 'Dank Mono', monospace;
font-size: 13px;
line-height: 1.5;
white-space: pre-wrap;
margin: 0;
min-height: calc(100% - 44px);
}
/* Execution Progress */
.execution-progress {
padding: 12px;
background: var(--bg-primary);
}
.progress-item {
display: flex;
align-items: center;
gap: 8px;
margin-bottom: 8px;
font-size: 13px;
}
.progress-icon {
color: var(--text-muted);
}
.progress-item.active .progress-icon {
color: var(--info-color);
animation: pulse 1s infinite;
}
.progress-item.completed .progress-icon {
color: var(--success-color);
}
.progress-item.error .progress-icon {
color: var(--error-color);
}
/* Playground */
.playground-wrapper {
flex: 1;
overflow: hidden;
}
#playground-frame {
width: 100%;
height: 100%;
border: none;
background: var(--bg-secondary);
}
/* Tutorial Intro Modal */
.tutorial-intro-modal {
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: var(--modal-overlay);
display: flex;
align-items: center;
justify-content: center;
z-index: 2000;
transition: opacity 0.3s;
}
.tutorial-intro-modal.hidden {
display: none;
}
.intro-content {
background: var(--bg-tertiary);
border: 1px solid var(--border-color);
border-radius: 8px;
padding: 32px;
max-width: 500px;
box-shadow: 0 16px 48px rgba(0, 0, 0, 0.6);
}
.intro-content h2 {
color: var(--primary-color);
margin-bottom: 16px;
font-size: 24px;
}
.intro-content p {
color: var(--text-primary);
margin-bottom: 16px;
line-height: 1.6;
}
.intro-content ul {
list-style: none;
margin-bottom: 24px;
}
.intro-content li {
color: var(--text-secondary);
margin-bottom: 8px;
padding-left: 20px;
position: relative;
}
.intro-content li:before {
content: "▸";
position: absolute;
left: 0;
color: var(--primary-color);
}
.intro-actions {
display: flex;
gap: 12px;
justify-content: flex-end;
}
.intro-btn {
padding: 10px 24px;
background: var(--bg-secondary);
color: var(--text-primary);
border: 1px solid var(--border-color);
border-radius: 4px;
font-family: inherit;
font-size: 14px;
cursor: pointer;
transition: all 0.2s;
}
.intro-btn:hover {
background: var(--bg-primary);
border-color: var(--border-hover);
}
.intro-btn.primary {
background: var(--primary-color);
color: var(--bg-primary);
border-color: var(--primary-color);
}
.intro-btn.primary:hover {
background: var(--primary-hover);
border-color: var(--primary-hover);
}
/* Tutorial Navigation Bar */
.tutorial-nav {
position: fixed;
top: 0;
left: 0;
right: 0;
background: var(--bg-tertiary);
border-bottom: 1px solid var(--primary-color);
z-index: 1000;
transition: transform 0.3s;
}
.tutorial-nav.hidden {
transform: translateY(-100%);
}
.tutorial-nav-content {
display: flex;
align-items: center;
justify-content: space-between;
padding: 16px 24px;
}
.tutorial-left {
flex: 1;
}
.tutorial-step-title {
display: flex;
align-items: center;
gap: 16px;
margin-bottom: 8px;
}
.tutorial-step-title span:first-child {
color: var(--text-secondary);
font-size: 12px;
text-transform: uppercase;
}
.tutorial-step-title span:last-child {
color: var(--primary-color);
font-weight: 600;
font-size: 16px;
}
.tutorial-description {
color: var(--text-primary);
margin: 0;
font-size: 14px;
max-width: 600px;
}
.tutorial-right {
display: flex;
align-items: center;
}
.tutorial-progress-bar {
height: 3px;
background: var(--bg-secondary);
position: absolute;
bottom: 0;
left: 0;
right: 0;
}
.tutorial-progress-bar .progress-fill {
height: 100%;
background: var(--primary-color);
transition: width 0.3s;
}
/* Adjust app container when tutorial is active */
.app-container.tutorial-active {
padding-top: 80px;
}
.tutorial-controls {
display: flex;
gap: 12px;
}
.nav-btn {
padding: 8px 16px;
background: var(--bg-secondary);
color: var(--text-primary);
border: 1px solid var(--border-color);
border-radius: 4px;
font-family: inherit;
font-size: 13px;
cursor: pointer;
transition: all 0.2s;
}
.nav-btn:hover:not(:disabled) {
background: var(--bg-primary);
border-color: var(--border-hover);
}
.nav-btn:disabled {
opacity: 0.5;
cursor: not-allowed;
}
.nav-btn.primary {
background: var(--primary-color);
color: var(--bg-primary);
border-color: var(--primary-color);
}
.nav-btn.primary:hover {
background: var(--primary-hover);
border-color: var(--primary-hover);
}
.exit-btn {
width: 32px;
height: 32px;
background: transparent;
color: var(--text-secondary);
border: none;
font-size: 20px;
cursor: pointer;
border-radius: 4px;
transition: all 0.2s;
margin-left: 16px;
}
.exit-btn:hover {
background: var(--bg-secondary);
color: var(--text-primary);
}
/* Fullscreen Mode */
.playground-panel.fullscreen {
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
z-index: 1500;
}
/* Animations */
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.5; }
}
/* Scrollbar Styling */
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track {
background: var(--bg-secondary);
}
::-webkit-scrollbar-thumb {
background: var(--border-color);
border-radius: 5px;
}
::-webkit-scrollbar-thumb:hover {
background: var(--border-hover);
}
/* Responsive */
@media (max-width: 768px) {
.app-container {
flex-direction: column;
}
.editor-panel,
.playground-panel {
min-width: auto;
width: 100%;
}
.editor-panel {
border-right: none;
border-bottom: 1px solid var(--border-color);
}
.output-section {
height: 200px;
}
}
/* ================================================================
Recording Timeline Styles
================================================================ */
.action-btn.record {
background: var(--bg-tertiary);
border-color: var(--error-color);
}
.action-btn.record:hover {
background: var(--error-color);
border-color: var(--error-color);
}
.action-btn.record.recording {
background: var(--error-color);
animation: pulse 1.5s infinite;
}
.action-btn.record.recording .icon {
animation: blink 1s infinite;
}
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.8; }
}
@keyframes blink {
0%, 100% { opacity: 1; }
50% { opacity: 0.3; }
}
.editor-container {
flex: 1;
display: flex;
flex-direction: column;
overflow: hidden;
}
#editor-view,
#timeline-view {
flex: 1;
display: flex;
flex-direction: column;
overflow: hidden;
}
.recording-timeline {
background: var(--bg-secondary);
display: flex;
flex-direction: column;
height: 100%;
}
.timeline-header {
display: flex;
justify-content: space-between;
align-items: center;
padding: 10px 15px;
border-bottom: 1px solid var(--border-color);
background: var(--bg-tertiary);
}
.timeline-header h3 {
font-size: 14px;
font-weight: 600;
color: var(--text-primary);
margin: 0;
}
.timeline-actions {
display: flex;
gap: 8px;
}
.timeline-events {
flex: 1;
overflow-y: auto;
padding: 10px;
}
.timeline-event {
display: flex;
align-items: center;
padding: 8px 10px;
margin-bottom: 6px;
background: var(--bg-tertiary);
border: 1px solid var(--border-color);
border-radius: 4px;
transition: all 0.2s;
cursor: pointer;
}
.timeline-event:hover {
border-color: var(--border-hover);
background: var(--code-bg);
}
.timeline-event.selected {
border-color: var(--primary-color);
background: rgba(15, 187, 170, 0.1);
}
.event-checkbox {
margin-right: 10px;
width: 16px;
height: 16px;
cursor: pointer;
}
.event-time {
font-size: 11px;
color: var(--text-muted);
margin-right: 10px;
font-family: 'Dank Mono', monospace;
min-width: 45px;
}
.event-command {
flex: 1;
font-family: 'Dank Mono', monospace;
font-size: 13px;
color: var(--text-primary);
}
.event-command .cmd-name {
color: var(--primary-color);
font-weight: 600;
}
.event-command .cmd-selector {
color: var(--info-color);
}
.event-command .cmd-value {
color: var(--warning-color);
}
.event-command .cmd-detail {
color: var(--text-secondary);
font-size: 11px;
margin-left: 5px;
}
.event-edit {
margin-left: 10px;
padding: 2px 8px;
font-size: 11px;
background: var(--bg-secondary);
border: 1px solid var(--border-color);
color: var(--text-secondary);
cursor: pointer;
border-radius: 3px;
transition: all 0.2s;
}
.event-edit:hover {
border-color: var(--primary-color);
color: var(--primary-color);
}
/* Event Editor Modal */
.modal-overlay {
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: var(--modal-overlay);
z-index: 999;
}
.event-editor-modal {
position: fixed;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
background: var(--bg-secondary);
border: 1px solid var(--border-color);
border-radius: 8px;
padding: 20px;
z-index: 1000;
min-width: 400px;
}
.event-editor-modal h4 {
margin: 0 0 15px 0;
color: var(--text-primary);
font-family: 'Dank Mono', monospace;
}
.editor-field {
margin-bottom: 15px;
}
.editor-field label {
display: block;
margin-bottom: 5px;
font-size: 12px;
color: var(--text-secondary);
font-family: 'Dank Mono', monospace;
}
.editor-field input,
.editor-field select {
width: 100%;
padding: 8px;
background: var(--bg-tertiary);
border: 1px solid var(--border-color);
color: var(--text-primary);
border-radius: 4px;
font-family: 'Dank Mono', monospace;
font-size: 13px;
}
.editor-field input:focus,
.editor-field select:focus {
outline: none;
border-color: var(--primary-color);
}
.editor-actions {
display: flex;
justify-content: flex-end;
gap: 10px;
margin-top: 20px;
}
/* Blockly Button */
#blockly-btn .icon {
font-size: 16px;
}
/* Hidden State */
.hidden {
display: none !important;
}
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,591 @@
// Blockly Manager for C4A-Script
// Handles Blockly workspace, code generation, and synchronization with text editor
class BlocklyManager {
constructor(tutorialApp) {
this.app = tutorialApp;
this.workspace = null;
this.isUpdating = false; // Prevent circular updates
this.blocklyVisible = false;
this.toolboxXml = this.generateToolbox();
this.init();
}
init() {
this.setupBlocklyContainer();
this.initializeWorkspace();
this.setupEventHandlers();
this.setupSynchronization();
}
setupBlocklyContainer() {
// Create blockly container div
const editorContainer = document.querySelector('.editor-container');
const blocklyDiv = document.createElement('div');
blocklyDiv.id = 'blockly-view';
blocklyDiv.className = 'blockly-workspace hidden';
blocklyDiv.style.height = '100%';
blocklyDiv.style.width = '100%';
editorContainer.appendChild(blocklyDiv);
}
generateToolbox() {
return `
<xml id="toolbox" style="display: none">
<category name="Navigation" colour="${BlockColors.NAVIGATION}">
<block type="c4a_go"></block>
<block type="c4a_reload"></block>
<block type="c4a_back"></block>
<block type="c4a_forward"></block>
</category>
<category name="Wait" colour="${BlockColors.WAIT}">
<block type="c4a_wait_time">
<field name="SECONDS">3</field>
</block>
<block type="c4a_wait_selector">
<field name="SELECTOR">#content</field>
<field name="TIMEOUT">10</field>
</block>
<block type="c4a_wait_text">
<field name="TEXT">Loading complete</field>
<field name="TIMEOUT">5</field>
</block>
</category>
<category name="Mouse Actions" colour="${BlockColors.ACTIONS}">
<block type="c4a_click">
<field name="SELECTOR">button.submit</field>
</block>
<block type="c4a_click_xy"></block>
<block type="c4a_double_click"></block>
<block type="c4a_right_click"></block>
<block type="c4a_move"></block>
<block type="c4a_drag"></block>
<block type="c4a_scroll">
<field name="DIRECTION">DOWN</field>
<field name="AMOUNT">500</field>
</block>
</category>
<category name="Keyboard" colour="${BlockColors.KEYBOARD}">
<block type="c4a_type">
<field name="TEXT">hello@example.com</field>
</block>
<block type="c4a_type_var">
<field name="VAR">email</field>
</block>
<block type="c4a_clear"></block>
<block type="c4a_set">
<field name="SELECTOR">#email</field>
<field name="VALUE">user@example.com</field>
</block>
<block type="c4a_press">
<field name="KEY">Tab</field>
</block>
<block type="c4a_key_down">
<field name="KEY">Shift</field>
</block>
<block type="c4a_key_up">
<field name="KEY">Shift</field>
</block>
</category>
<category name="Control Flow" colour="${BlockColors.CONTROL}">
<block type="c4a_if_exists">
<field name="SELECTOR">.cookie-banner</field>
</block>
<block type="c4a_if_exists_else">
<field name="SELECTOR">#user</field>
</block>
<block type="c4a_if_not_exists">
<field name="SELECTOR">.modal</field>
</block>
<block type="c4a_if_js">
<field name="CONDITION">window.innerWidth < 768</field>
</block>
<block type="c4a_repeat_times">
<field name="TIMES">5</field>
</block>
<block type="c4a_repeat_while">
<field name="CONDITION">document.querySelector('.load-more')</field>
</block>
</category>
<category name="Variables" colour="${BlockColors.VARIABLES}">
<block type="c4a_setvar">
<field name="NAME">username</field>
<field name="VALUE">john@example.com</field>
</block>
<block type="c4a_eval">
<field name="CODE">console.log('Hello')</field>
</block>
</category>
<category name="Procedures" colour="${BlockColors.PROCEDURES}">
<block type="c4a_proc_def">
<field name="NAME">login</field>
</block>
<block type="c4a_proc_call">
<field name="NAME">login</field>
</block>
</category>
<category name="Comments" colour="#9E9E9E">
<block type="c4a_comment">
<field name="TEXT">Add comment here</field>
</block>
</category>
</xml>`;
}
initializeWorkspace() {
const blocklyDiv = document.getElementById('blockly-view');
// Dark theme configuration
const theme = Blockly.Theme.defineTheme('c4a-dark', {
'base': Blockly.Themes.Classic,
'componentStyles': {
'workspaceBackgroundColour': '#0e0e10',
'toolboxBackgroundColour': '#1a1a1b',
'toolboxForegroundColour': '#e0e0e0',
'flyoutBackgroundColour': '#1a1a1b',
'flyoutForegroundColour': '#e0e0e0',
'flyoutOpacity': 0.9,
'scrollbarColour': '#2a2a2c',
'scrollbarOpacity': 0.5,
'insertionMarkerColour': '#0fbbaa',
'insertionMarkerOpacity': 0.3,
'markerColour': '#0fbbaa',
'cursorColour': '#0fbbaa',
'selectedGlowColour': '#0fbbaa',
'selectedGlowOpacity': 0.4,
'replacementGlowColour': '#0fbbaa',
'replacementGlowOpacity': 0.5
},
'fontStyle': {
'family': 'Dank Mono, Monaco, Consolas, monospace',
'weight': 'normal',
'size': 13
}
});
this.workspace = Blockly.inject(blocklyDiv, {
toolbox: this.toolboxXml,
theme: theme,
grid: {
spacing: 20,
length: 3,
colour: '#2a2a2c',
snap: true
},
zoom: {
controls: true,
wheel: true,
startScale: 1.0,
maxScale: 3,
minScale: 0.3,
scaleSpeed: 1.2
},
trashcan: true,
sounds: false,
media: 'https://unpkg.com/blockly/media/'
});
// Add workspace change listener
this.workspace.addChangeListener((event) => {
if (!this.isUpdating && event.type !== Blockly.Events.UI) {
this.syncBlocksToCode();
}
});
}
setupEventHandlers() {
// Add blockly toggle button
const headerActions = document.querySelector('.editor-panel .header-actions');
const blocklyBtn = document.createElement('button');
blocklyBtn.id = 'blockly-btn';
blocklyBtn.className = 'action-btn';
blocklyBtn.title = 'Toggle Blockly Mode';
blocklyBtn.innerHTML = '<span class="icon">🧩</span>';
// Insert before the Run button
const runBtn = document.getElementById('run-btn');
headerActions.insertBefore(blocklyBtn, runBtn);
blocklyBtn.addEventListener('click', () => this.toggleBlocklyView());
}
setupSynchronization() {
// Listen to CodeMirror changes
this.app.editor.on('change', (instance, changeObj) => {
if (!this.isUpdating && this.blocklyVisible && changeObj.origin !== 'setValue') {
this.syncCodeToBlocks();
}
});
}
toggleBlocklyView() {
const editorView = document.getElementById('editor-view');
const blocklyView = document.getElementById('blockly-view');
const timelineView = document.getElementById('timeline-view');
const blocklyBtn = document.getElementById('blockly-btn');
this.blocklyVisible = !this.blocklyVisible;
if (this.blocklyVisible) {
// Show Blockly
editorView.classList.add('hidden');
timelineView.classList.add('hidden');
blocklyView.classList.remove('hidden');
blocklyBtn.classList.add('active');
// Resize workspace
Blockly.svgResize(this.workspace);
// Sync current code to blocks
this.syncCodeToBlocks();
} else {
// Show editor
blocklyView.classList.add('hidden');
editorView.classList.remove('hidden');
blocklyBtn.classList.remove('active');
// Refresh CodeMirror
setTimeout(() => this.app.editor.refresh(), 100);
}
}
syncBlocksToCode() {
if (this.isUpdating) return;
try {
this.isUpdating = true;
// Generate C4A-Script from blocks using our custom generator
if (typeof c4aGenerator !== 'undefined') {
const code = c4aGenerator.workspaceToCode(this.workspace);
// Process the code to maintain proper formatting
const lines = code.split('\n');
const formattedLines = [];
let lastWasComment = false;
for (let i = 0; i < lines.length; i++) {
const line = lines[i].trim();
if (!line) continue;
const isComment = line.startsWith('#');
// Add blank line when transitioning between comments and commands
if (formattedLines.length > 0 && lastWasComment !== isComment) {
formattedLines.push('');
}
formattedLines.push(line);
lastWasComment = isComment;
}
const cleanCode = formattedLines.join('\n');
// Update CodeMirror
this.app.editor.setValue(cleanCode);
}
} catch (error) {
console.error('Error syncing blocks to code:', error);
} finally {
this.isUpdating = false;
}
}
syncCodeToBlocks() {
if (this.isUpdating) return;
try {
this.isUpdating = true;
// Clear workspace
this.workspace.clear();
// Parse C4A-Script and generate blocks
const code = this.app.editor.getValue();
const blocks = this.parseC4AToBlocks(code);
if (blocks) {
Blockly.Xml.domToWorkspace(blocks, this.workspace);
}
} catch (error) {
console.error('Error syncing code to blocks:', error);
// Show error in console
this.app.addConsoleMessage(`Blockly sync error: ${error.message}`, 'warning');
} finally {
this.isUpdating = false;
}
}
parseC4AToBlocks(code) {
const lines = code.split('\n');
const xml = document.createElement('xml');
let yPos = 20;
let previousBlock = null;
let rootBlock = null;
for (let i = 0; i < lines.length; i++) {
const line = lines[i].trim();
// Skip empty lines
if (!line) continue;
// Handle comments
if (line.startsWith('#')) {
const commentBlock = this.parseLineToBlock(line, i, lines);
if (commentBlock) {
if (previousBlock) {
// Connect to previous block
const next = document.createElement('next');
next.appendChild(commentBlock);
previousBlock.appendChild(next);
} else {
// First block - set position
commentBlock.setAttribute('x', 20);
commentBlock.setAttribute('y', yPos);
xml.appendChild(commentBlock);
rootBlock = commentBlock;
yPos += 60;
}
previousBlock = commentBlock;
}
continue;
}
const block = this.parseLineToBlock(line, i, lines);
if (block) {
if (previousBlock) {
// Connect to previous block using <next>
const next = document.createElement('next');
next.appendChild(block);
previousBlock.appendChild(next);
} else {
// First block - set position
block.setAttribute('x', 20);
block.setAttribute('y', yPos);
xml.appendChild(block);
rootBlock = block;
yPos += 60;
}
previousBlock = block;
}
}
return xml;
}
parseLineToBlock(line, index, allLines) {
// Navigation commands
if (line.startsWith('GO ')) {
const url = line.substring(3).trim();
return this.createBlock('c4a_go', { 'URL': url });
}
if (line === 'RELOAD') {
return this.createBlock('c4a_reload');
}
if (line === 'BACK') {
return this.createBlock('c4a_back');
}
if (line === 'FORWARD') {
return this.createBlock('c4a_forward');
}
// Wait commands
if (line.startsWith('WAIT ')) {
const parts = line.substring(5).trim();
// Check if it's just a number (wait time)
if (/^\d+(\.\d+)?$/.test(parts)) {
return this.createBlock('c4a_wait_time', { 'SECONDS': parts });
}
// Check for selector wait
const selectorMatch = parts.match(/^`([^`]+)`\s+(\d+)$/);
if (selectorMatch) {
return this.createBlock('c4a_wait_selector', {
'SELECTOR': selectorMatch[1],
'TIMEOUT': selectorMatch[2]
});
}
// Check for text wait
const textMatch = parts.match(/^"([^"]+)"\s+(\d+)$/);
if (textMatch) {
return this.createBlock('c4a_wait_text', {
'TEXT': textMatch[1],
'TIMEOUT': textMatch[2]
});
}
}
// Click commands
if (line.startsWith('CLICK ')) {
const target = line.substring(6).trim();
// Check for coordinates
const coordMatch = target.match(/^(\d+)\s+(\d+)$/);
if (coordMatch) {
return this.createBlock('c4a_click_xy', {
'X': coordMatch[1],
'Y': coordMatch[2]
});
}
// Selector click
const selectorMatch = target.match(/^`([^`]+)`$/);
if (selectorMatch) {
return this.createBlock('c4a_click', {
'SELECTOR': selectorMatch[1]
});
}
}
// Other mouse actions
if (line.startsWith('DOUBLE_CLICK ')) {
const selector = line.substring(13).trim().match(/^`([^`]+)`$/);
if (selector) {
return this.createBlock('c4a_double_click', {
'SELECTOR': selector[1]
});
}
}
if (line.startsWith('RIGHT_CLICK ')) {
const selector = line.substring(12).trim().match(/^`([^`]+)`$/);
if (selector) {
return this.createBlock('c4a_right_click', {
'SELECTOR': selector[1]
});
}
}
// Scroll
if (line.startsWith('SCROLL ')) {
const match = line.match(/^SCROLL\s+(UP|DOWN|LEFT|RIGHT)(?:\s+(\d+))?$/);
if (match) {
return this.createBlock('c4a_scroll', {
'DIRECTION': match[1],
'AMOUNT': match[2] || '500'
});
}
}
// Type commands
if (line.startsWith('TYPE ')) {
const content = line.substring(5).trim();
// Variable type
if (content.startsWith('$')) {
return this.createBlock('c4a_type_var', {
'VAR': content.substring(1)
});
}
// Text type
const textMatch = content.match(/^"([^"]*)"$/);
if (textMatch) {
return this.createBlock('c4a_type', {
'TEXT': textMatch[1]
});
}
}
// SET command
if (line.startsWith('SET ')) {
const match = line.match(/^SET\s+`([^`]+)`\s+"([^"]*)"$/);
if (match) {
return this.createBlock('c4a_set', {
'SELECTOR': match[1],
'VALUE': match[2]
});
}
}
// CLEAR command
if (line.startsWith('CLEAR ')) {
const match = line.match(/^CLEAR\s+`([^`]+)`$/);
if (match) {
return this.createBlock('c4a_clear', {
'SELECTOR': match[1]
});
}
}
// SETVAR command
if (line.startsWith('SETVAR ')) {
const match = line.match(/^SETVAR\s+(\w+)\s*=\s*"([^"]*)"$/);
if (match) {
return this.createBlock('c4a_setvar', {
'NAME': match[1],
'VALUE': match[2]
});
}
}
// IF commands (simplified - only single line)
if (line.startsWith('IF ')) {
// IF EXISTS
const existsMatch = line.match(/^IF\s+\(EXISTS\s+`([^`]+)`\)\s+THEN\s+(.+?)(?:\s+ELSE\s+(.+))?$/);
if (existsMatch) {
if (existsMatch[3]) {
// Has ELSE
const block = this.createBlock('c4a_if_exists_else', {
'SELECTOR': existsMatch[1]
});
// Parse then and else commands - simplified for now
return block;
} else {
// No ELSE
const block = this.createBlock('c4a_if_exists', {
'SELECTOR': existsMatch[1]
});
return block;
}
}
// IF NOT EXISTS
const notExistsMatch = line.match(/^IF\s+\(NOT\s+EXISTS\s+`([^`]+)`\)\s+THEN\s+(.+)$/);
if (notExistsMatch) {
const block = this.createBlock('c4a_if_not_exists', {
'SELECTOR': notExistsMatch[1]
});
return block;
}
}
// Comments
if (line.startsWith('#')) {
return this.createBlock('c4a_comment', {
'TEXT': line.substring(1).trim()
});
}
// If we can't parse it, return null
return null;
}
createBlock(type, fields = {}) {
const block = document.createElement('block');
block.setAttribute('type', type);
// Add fields
for (const [name, value] of Object.entries(fields)) {
const field = document.createElement('field');
field.setAttribute('name', name);
field.textContent = value;
block.appendChild(field);
}
return block;
}
}
@@ -0,0 +1,238 @@
/* Blockly Theme CSS for C4A-Script */
/* Blockly workspace container */
.blockly-workspace {
position: relative;
width: 100%;
height: 100%;
background: var(--bg-primary);
}
/* Blockly button active state */
#blockly-btn.active {
background: var(--primary-color);
color: var(--bg-primary);
border-color: var(--primary-color);
}
#blockly-btn.active:hover {
background: var(--primary-hover);
border-color: var(--primary-hover);
}
/* Override Blockly's default styles for dark theme */
.blocklyToolboxDiv {
background-color: var(--bg-tertiary) !important;
border-right: 1px solid var(--border-color) !important;
}
.blocklyFlyout {
background-color: var(--bg-secondary) !important;
}
.blocklyFlyoutBackground {
fill: var(--bg-secondary) !important;
}
.blocklyMainBackground {
stroke: none !important;
}
.blocklyTreeRow {
color: var(--text-primary) !important;
font-family: 'Dank Mono', monospace !important;
padding: 4px 16px !important;
margin: 2px 0 !important;
}
.blocklyTreeRow:hover {
background-color: var(--bg-secondary) !important;
}
.blocklyTreeSelected {
background-color: var(--primary-dim) !important;
}
.blocklyTreeLabel {
cursor: pointer;
}
/* Blockly scrollbars */
.blocklyScrollbarHorizontal,
.blocklyScrollbarVertical {
background-color: transparent !important;
}
.blocklyScrollbarHandle {
fill: var(--border-color) !important;
opacity: 0.5 !important;
}
.blocklyScrollbarHandle:hover {
fill: var(--border-hover) !important;
opacity: 0.8 !important;
}
/* Blockly zoom controls */
.blocklyZoom > image {
opacity: 0.6;
}
.blocklyZoom > image:hover {
opacity: 1;
}
/* Blockly trash can */
.blocklyTrash {
opacity: 0.6;
}
.blocklyTrash:hover {
opacity: 1;
}
/* Blockly context menus */
.blocklyContextMenu {
background-color: var(--bg-tertiary) !important;
border: 1px solid var(--border-color) !important;
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3) !important;
}
.blocklyMenuItem {
color: var(--text-primary) !important;
font-family: 'Dank Mono', monospace !important;
}
.blocklyMenuItemDisabled {
color: var(--text-muted) !important;
}
.blocklyMenuItem:hover {
background-color: var(--bg-secondary) !important;
}
/* Blockly text inputs */
.blocklyHtmlInput {
background-color: var(--bg-tertiary) !important;
color: var(--text-primary) !important;
border: 1px solid var(--border-color) !important;
font-family: 'Dank Mono', monospace !important;
font-size: 13px !important;
padding: 4px 8px !important;
}
.blocklyHtmlInput:focus {
border-color: var(--primary-color) !important;
outline: none !important;
}
/* Blockly dropdowns */
.blocklyDropDownDiv {
background-color: var(--bg-tertiary) !important;
border: 1px solid var(--border-color) !important;
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3) !important;
}
.blocklyDropDownContent {
color: var(--text-primary) !important;
}
.blocklyDropDownDiv .goog-menuitem {
color: var(--text-primary) !important;
font-family: 'Dank Mono', monospace !important;
padding: 4px 16px !important;
}
.blocklyDropDownDiv .goog-menuitem-highlight,
.blocklyDropDownDiv .goog-menuitem-hover {
background-color: var(--bg-secondary) !important;
}
/* Custom block colors are defined in the block definitions */
/* Block text styling */
.blocklyText {
fill: #ffffff !important;
font-family: 'Dank Mono', monospace !important;
font-size: 13px !important;
}
.blocklyEditableText > .blocklyText {
fill: #ffffff !important;
}
.blocklyEditableText:hover > rect {
stroke: var(--primary-color) !important;
stroke-width: 2px !important;
}
/* Improve visibility of connection highlights */
.blocklyHighlightedConnectionPath {
stroke: var(--primary-color) !important;
stroke-width: 4px !important;
}
.blocklyInsertionMarker > .blocklyPath {
fill-opacity: 0.3 !important;
stroke-opacity: 0.6 !important;
}
/* Workspace grid pattern */
.blocklyWorkspace > .blocklyBlockCanvas > .blocklyGridCanvas {
opacity: 0.1;
}
/* Smooth transitions */
.blocklyDraggable {
transition: transform 0.1s ease;
}
/* Field labels */
.blocklyFieldLabel {
font-weight: normal !important;
}
/* Comment blocks styling */
.blocklyCommentText {
font-style: italic !important;
}
/* Make comment blocks slightly transparent */
g[data-category="Comments"] .blocklyPath {
fill-opacity: 0.8 !important;
}
/* Better visibility for disabled blocks */
.blocklyDisabled > .blocklyPath {
fill-opacity: 0.3 !important;
}
.blocklyDisabled > .blocklyText {
fill-opacity: 0.5 !important;
}
/* Warning and error text */
.blocklyWarningText,
.blocklyErrorText {
font-family: 'Dank Mono', monospace !important;
font-size: 12px !important;
}
/* Workspace scrollbar improvement for dark theme */
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track {
background: var(--bg-secondary);
}
::-webkit-scrollbar-thumb {
background: var(--border-color);
border-radius: 5px;
}
::-webkit-scrollbar-thumb:hover {
background: var(--border-hover);
}
@@ -0,0 +1,549 @@
// C4A-Script Blockly Block Definitions
// This file defines all custom blocks for C4A-Script commands
// Color scheme for different block categories
const BlockColors = {
NAVIGATION: '#1E88E5', // Blue
ACTIONS: '#43A047', // Green
CONTROL: '#FB8C00', // Orange
VARIABLES: '#8E24AA', // Purple
WAIT: '#E53935', // Red
KEYBOARD: '#00ACC1', // Cyan
PROCEDURES: '#6A1B9A' // Deep Purple
};
// Helper to create selector input with backticks
Blockly.Blocks['c4a_selector_input'] = {
init: function() {
this.appendDummyInput()
.appendField("`")
.appendField(new Blockly.FieldTextInput("selector"), "SELECTOR")
.appendField("`");
this.setOutput(true, "Selector");
this.setColour(BlockColors.ACTIONS);
this.setTooltip("CSS selector for element");
}
};
// ============================================
// NAVIGATION BLOCKS
// ============================================
Blockly.Blocks['c4a_go'] = {
init: function() {
this.appendDummyInput()
.appendField("GO")
.appendField(new Blockly.FieldTextInput("https://example.com"), "URL");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.NAVIGATION);
this.setTooltip("Navigate to URL");
}
};
Blockly.Blocks['c4a_reload'] = {
init: function() {
this.appendDummyInput()
.appendField("RELOAD");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.NAVIGATION);
this.setTooltip("Reload current page");
}
};
Blockly.Blocks['c4a_back'] = {
init: function() {
this.appendDummyInput()
.appendField("BACK");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.NAVIGATION);
this.setTooltip("Go back in browser history");
}
};
Blockly.Blocks['c4a_forward'] = {
init: function() {
this.appendDummyInput()
.appendField("FORWARD");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.NAVIGATION);
this.setTooltip("Go forward in browser history");
}
};
// ============================================
// WAIT BLOCKS
// ============================================
Blockly.Blocks['c4a_wait_time'] = {
init: function() {
this.appendDummyInput()
.appendField("WAIT")
.appendField(new Blockly.FieldNumber(1, 0), "SECONDS")
.appendField("seconds");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.WAIT);
this.setTooltip("Wait for specified seconds");
}
};
Blockly.Blocks['c4a_wait_selector'] = {
init: function() {
this.appendDummyInput()
.appendField("WAIT for")
.appendField("`")
.appendField(new Blockly.FieldTextInput("selector"), "SELECTOR")
.appendField("`")
.appendField("max")
.appendField(new Blockly.FieldNumber(10, 1), "TIMEOUT")
.appendField("sec");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.WAIT);
this.setTooltip("Wait for element to appear");
}
};
Blockly.Blocks['c4a_wait_text'] = {
init: function() {
this.appendDummyInput()
.appendField("WAIT for text")
.appendField(new Blockly.FieldTextInput("Loading complete"), "TEXT")
.appendField("max")
.appendField(new Blockly.FieldNumber(5, 1), "TIMEOUT")
.appendField("sec");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.WAIT);
this.setTooltip("Wait for text to appear on page");
}
};
// ============================================
// MOUSE ACTION BLOCKS
// ============================================
Blockly.Blocks['c4a_click'] = {
init: function() {
this.appendDummyInput()
.appendField("CLICK")
.appendField("`")
.appendField(new Blockly.FieldTextInput("button"), "SELECTOR")
.appendField("`");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Click on element");
}
};
Blockly.Blocks['c4a_click_xy'] = {
init: function() {
this.appendDummyInput()
.appendField("CLICK at")
.appendField("X:")
.appendField(new Blockly.FieldNumber(100, 0), "X")
.appendField("Y:")
.appendField(new Blockly.FieldNumber(100, 0), "Y");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Click at coordinates");
}
};
Blockly.Blocks['c4a_double_click'] = {
init: function() {
this.appendDummyInput()
.appendField("DOUBLE_CLICK")
.appendField("`")
.appendField(new Blockly.FieldTextInput(".item"), "SELECTOR")
.appendField("`");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Double click on element");
}
};
Blockly.Blocks['c4a_right_click'] = {
init: function() {
this.appendDummyInput()
.appendField("RIGHT_CLICK")
.appendField("`")
.appendField(new Blockly.FieldTextInput("#menu"), "SELECTOR")
.appendField("`");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Right click on element");
}
};
Blockly.Blocks['c4a_move'] = {
init: function() {
this.appendDummyInput()
.appendField("MOVE to")
.appendField("X:")
.appendField(new Blockly.FieldNumber(500, 0), "X")
.appendField("Y:")
.appendField(new Blockly.FieldNumber(300, 0), "Y");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Move mouse to position");
}
};
Blockly.Blocks['c4a_drag'] = {
init: function() {
this.appendDummyInput()
.appendField("DRAG from")
.appendField("X:")
.appendField(new Blockly.FieldNumber(100, 0), "X1")
.appendField("Y:")
.appendField(new Blockly.FieldNumber(100, 0), "Y1");
this.appendDummyInput()
.appendField("to")
.appendField("X:")
.appendField(new Blockly.FieldNumber(500, 0), "X2")
.appendField("Y:")
.appendField(new Blockly.FieldNumber(300, 0), "Y2");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Drag from one point to another");
}
};
Blockly.Blocks['c4a_scroll'] = {
init: function() {
this.appendDummyInput()
.appendField("SCROLL")
.appendField(new Blockly.FieldDropdown([
["DOWN", "DOWN"],
["UP", "UP"],
["LEFT", "LEFT"],
["RIGHT", "RIGHT"]
]), "DIRECTION")
.appendField(new Blockly.FieldNumber(500, 0), "AMOUNT")
.appendField("pixels");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.ACTIONS);
this.setTooltip("Scroll in direction");
}
};
// ============================================
// KEYBOARD BLOCKS
// ============================================
Blockly.Blocks['c4a_type'] = {
init: function() {
this.appendDummyInput()
.appendField("TYPE")
.appendField(new Blockly.FieldTextInput("text to type"), "TEXT");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Type text");
}
};
Blockly.Blocks['c4a_type_var'] = {
init: function() {
this.appendDummyInput()
.appendField("TYPE")
.appendField("$")
.appendField(new Blockly.FieldTextInput("variable"), "VAR");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Type variable value");
}
};
Blockly.Blocks['c4a_clear'] = {
init: function() {
this.appendDummyInput()
.appendField("CLEAR")
.appendField("`")
.appendField(new Blockly.FieldTextInput("input"), "SELECTOR")
.appendField("`");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Clear input field");
}
};
Blockly.Blocks['c4a_set'] = {
init: function() {
this.appendDummyInput()
.appendField("SET")
.appendField("`")
.appendField(new Blockly.FieldTextInput("#input"), "SELECTOR")
.appendField("`")
.appendField("to")
.appendField(new Blockly.FieldTextInput("value"), "VALUE");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Set input field value");
}
};
Blockly.Blocks['c4a_press'] = {
init: function() {
this.appendDummyInput()
.appendField("PRESS")
.appendField(new Blockly.FieldDropdown([
["Tab", "Tab"],
["Enter", "Enter"],
["Escape", "Escape"],
["Space", "Space"],
["ArrowUp", "ArrowUp"],
["ArrowDown", "ArrowDown"],
["ArrowLeft", "ArrowLeft"],
["ArrowRight", "ArrowRight"],
["Delete", "Delete"],
["Backspace", "Backspace"]
]), "KEY");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Press and release key");
}
};
Blockly.Blocks['c4a_key_down'] = {
init: function() {
this.appendDummyInput()
.appendField("KEY_DOWN")
.appendField(new Blockly.FieldDropdown([
["Shift", "Shift"],
["Control", "Control"],
["Alt", "Alt"],
["Meta", "Meta"]
]), "KEY");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Hold key down");
}
};
Blockly.Blocks['c4a_key_up'] = {
init: function() {
this.appendDummyInput()
.appendField("KEY_UP")
.appendField(new Blockly.FieldDropdown([
["Shift", "Shift"],
["Control", "Control"],
["Alt", "Alt"],
["Meta", "Meta"]
]), "KEY");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.KEYBOARD);
this.setTooltip("Release key");
}
};
// ============================================
// CONTROL FLOW BLOCKS
// ============================================
Blockly.Blocks['c4a_if_exists'] = {
init: function() {
this.appendDummyInput()
.appendField("IF EXISTS")
.appendField("`")
.appendField(new Blockly.FieldTextInput(".element"), "SELECTOR")
.appendField("`")
.appendField("THEN");
this.appendStatementInput("THEN")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("If element exists, then do something");
}
};
Blockly.Blocks['c4a_if_exists_else'] = {
init: function() {
this.appendDummyInput()
.appendField("IF EXISTS")
.appendField("`")
.appendField(new Blockly.FieldTextInput(".element"), "SELECTOR")
.appendField("`")
.appendField("THEN");
this.appendStatementInput("THEN")
.setCheck(null);
this.appendDummyInput()
.appendField("ELSE");
this.appendStatementInput("ELSE")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("If element exists, then do something, else do something else");
}
};
Blockly.Blocks['c4a_if_not_exists'] = {
init: function() {
this.appendDummyInput()
.appendField("IF NOT EXISTS")
.appendField("`")
.appendField(new Blockly.FieldTextInput(".element"), "SELECTOR")
.appendField("`")
.appendField("THEN");
this.appendStatementInput("THEN")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("If element does not exist, then do something");
}
};
Blockly.Blocks['c4a_if_js'] = {
init: function() {
this.appendDummyInput()
.appendField("IF")
.appendField("`")
.appendField(new Blockly.FieldTextInput("window.innerWidth < 768"), "CONDITION")
.appendField("`")
.appendField("THEN");
this.appendStatementInput("THEN")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("If JavaScript condition is true");
}
};
Blockly.Blocks['c4a_repeat_times'] = {
init: function() {
this.appendDummyInput()
.appendField("REPEAT")
.appendField(new Blockly.FieldNumber(5, 1), "TIMES")
.appendField("times");
this.appendStatementInput("DO")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("Repeat commands N times");
}
};
Blockly.Blocks['c4a_repeat_while'] = {
init: function() {
this.appendDummyInput()
.appendField("REPEAT WHILE")
.appendField("`")
.appendField(new Blockly.FieldTextInput("document.querySelector('.load-more')"), "CONDITION")
.appendField("`");
this.appendStatementInput("DO")
.setCheck(null);
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.CONTROL);
this.setTooltip("Repeat while condition is true");
}
};
// ============================================
// VARIABLE BLOCKS
// ============================================
Blockly.Blocks['c4a_setvar'] = {
init: function() {
this.appendDummyInput()
.appendField("SETVAR")
.appendField(new Blockly.FieldTextInput("username"), "NAME")
.appendField("=")
.appendField(new Blockly.FieldTextInput("value"), "VALUE");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.VARIABLES);
this.setTooltip("Set variable value");
}
};
// ============================================
// ADVANCED BLOCKS
// ============================================
Blockly.Blocks['c4a_eval'] = {
init: function() {
this.appendDummyInput()
.appendField("EVAL")
.appendField("`")
.appendField(new Blockly.FieldTextInput("console.log('Hello')"), "CODE")
.appendField("`");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.VARIABLES);
this.setTooltip("Execute JavaScript code");
}
};
Blockly.Blocks['c4a_comment'] = {
init: function() {
this.appendDummyInput()
.appendField("#")
.appendField(new Blockly.FieldTextInput("Comment", null, {
spellcheck: false,
class: 'blocklyCommentText'
}), "TEXT");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour("#616161");
this.setTooltip("Add a comment");
this.setStyle('comment_blocks');
}
};
// ============================================
// PROCEDURE BLOCKS
// ============================================
Blockly.Blocks['c4a_proc_def'] = {
init: function() {
this.appendDummyInput()
.appendField("PROC")
.appendField(new Blockly.FieldTextInput("procedure_name"), "NAME");
this.appendStatementInput("BODY")
.setCheck(null);
this.appendDummyInput()
.appendField("ENDPROC");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.PROCEDURES);
this.setTooltip("Define a procedure");
}
};
Blockly.Blocks['c4a_proc_call'] = {
init: function() {
this.appendDummyInput()
.appendField("Call")
.appendField(new Blockly.FieldTextInput("procedure_name"), "NAME");
this.setPreviousStatement(true, null);
this.setNextStatement(true, null);
this.setColour(BlockColors.PROCEDURES);
this.setTooltip("Call a procedure");
}
};
// Code generators have been moved to c4a-generator.js
@@ -0,0 +1,261 @@
// C4A-Script Code Generator for Blockly
// Compatible with latest Blockly API
// Create a custom code generator for C4A-Script
const c4aGenerator = new Blockly.Generator('C4A');
// Helper to get field value with proper escaping
c4aGenerator.getFieldValue = function(block, fieldName) {
return block.getFieldValue(fieldName);
};
// Navigation generators
c4aGenerator.forBlock['c4a_go'] = function(block, generator) {
const url = generator.getFieldValue(block, 'URL');
return `GO ${url}\n`;
};
c4aGenerator.forBlock['c4a_reload'] = function(block, generator) {
return 'RELOAD\n';
};
c4aGenerator.forBlock['c4a_back'] = function(block, generator) {
return 'BACK\n';
};
c4aGenerator.forBlock['c4a_forward'] = function(block, generator) {
return 'FORWARD\n';
};
// Wait generators
c4aGenerator.forBlock['c4a_wait_time'] = function(block, generator) {
const seconds = generator.getFieldValue(block, 'SECONDS');
return `WAIT ${seconds}\n`;
};
c4aGenerator.forBlock['c4a_wait_selector'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
const timeout = generator.getFieldValue(block, 'TIMEOUT');
return `WAIT \`${selector}\` ${timeout}\n`;
};
c4aGenerator.forBlock['c4a_wait_text'] = function(block, generator) {
const text = generator.getFieldValue(block, 'TEXT');
const timeout = generator.getFieldValue(block, 'TIMEOUT');
return `WAIT "${text}" ${timeout}\n`;
};
// Mouse action generators
c4aGenerator.forBlock['c4a_click'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
return `CLICK \`${selector}\`\n`;
};
c4aGenerator.forBlock['c4a_click_xy'] = function(block, generator) {
const x = generator.getFieldValue(block, 'X');
const y = generator.getFieldValue(block, 'Y');
return `CLICK ${x} ${y}\n`;
};
c4aGenerator.forBlock['c4a_double_click'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
return `DOUBLE_CLICK \`${selector}\`\n`;
};
c4aGenerator.forBlock['c4a_right_click'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
return `RIGHT_CLICK \`${selector}\`\n`;
};
c4aGenerator.forBlock['c4a_move'] = function(block, generator) {
const x = generator.getFieldValue(block, 'X');
const y = generator.getFieldValue(block, 'Y');
return `MOVE ${x} ${y}\n`;
};
c4aGenerator.forBlock['c4a_drag'] = function(block, generator) {
const x1 = generator.getFieldValue(block, 'X1');
const y1 = generator.getFieldValue(block, 'Y1');
const x2 = generator.getFieldValue(block, 'X2');
const y2 = generator.getFieldValue(block, 'Y2');
return `DRAG ${x1} ${y1} ${x2} ${y2}\n`;
};
c4aGenerator.forBlock['c4a_scroll'] = function(block, generator) {
const direction = generator.getFieldValue(block, 'DIRECTION');
const amount = generator.getFieldValue(block, 'AMOUNT');
return `SCROLL ${direction} ${amount}\n`;
};
// Keyboard generators
c4aGenerator.forBlock['c4a_type'] = function(block, generator) {
const text = generator.getFieldValue(block, 'TEXT');
return `TYPE "${text}"\n`;
};
c4aGenerator.forBlock['c4a_type_var'] = function(block, generator) {
const varName = generator.getFieldValue(block, 'VAR');
return `TYPE $${varName}\n`;
};
c4aGenerator.forBlock['c4a_clear'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
return `CLEAR \`${selector}\`\n`;
};
c4aGenerator.forBlock['c4a_set'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
const value = generator.getFieldValue(block, 'VALUE');
return `SET \`${selector}\` "${value}"\n`;
};
c4aGenerator.forBlock['c4a_press'] = function(block, generator) {
const key = generator.getFieldValue(block, 'KEY');
return `PRESS ${key}\n`;
};
c4aGenerator.forBlock['c4a_key_down'] = function(block, generator) {
const key = generator.getFieldValue(block, 'KEY');
return `KEY_DOWN ${key}\n`;
};
c4aGenerator.forBlock['c4a_key_up'] = function(block, generator) {
const key = generator.getFieldValue(block, 'KEY');
return `KEY_UP ${key}\n`;
};
// Control flow generators
c4aGenerator.forBlock['c4a_if_exists'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
const thenCode = generator.statementToCode(block, 'THEN').trim();
if (thenCode.includes('\n')) {
// Multi-line then block
const lines = thenCode.split('\n').filter(line => line.trim());
return lines.map(line => `IF (EXISTS \`${selector}\`) THEN ${line}`).join('\n') + '\n';
} else if (thenCode) {
// Single line
return `IF (EXISTS \`${selector}\`) THEN ${thenCode}\n`;
}
return '';
};
c4aGenerator.forBlock['c4a_if_exists_else'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
const thenCode = generator.statementToCode(block, 'THEN').trim();
const elseCode = generator.statementToCode(block, 'ELSE').trim();
// For simplicity, only handle single-line then/else
const thenLine = thenCode.split('\n')[0];
const elseLine = elseCode.split('\n')[0];
if (thenLine && elseLine) {
return `IF (EXISTS \`${selector}\`) THEN ${thenLine} ELSE ${elseLine}\n`;
} else if (thenLine) {
return `IF (EXISTS \`${selector}\`) THEN ${thenLine}\n`;
}
return '';
};
c4aGenerator.forBlock['c4a_if_not_exists'] = function(block, generator) {
const selector = generator.getFieldValue(block, 'SELECTOR');
const thenCode = generator.statementToCode(block, 'THEN').trim();
if (thenCode.includes('\n')) {
const lines = thenCode.split('\n').filter(line => line.trim());
return lines.map(line => `IF (NOT EXISTS \`${selector}\`) THEN ${line}`).join('\n') + '\n';
} else if (thenCode) {
return `IF (NOT EXISTS \`${selector}\`) THEN ${thenCode}\n`;
}
return '';
};
c4aGenerator.forBlock['c4a_if_js'] = function(block, generator) {
const condition = generator.getFieldValue(block, 'CONDITION');
const thenCode = generator.statementToCode(block, 'THEN').trim();
if (thenCode.includes('\n')) {
const lines = thenCode.split('\n').filter(line => line.trim());
return lines.map(line => `IF (\`${condition}\`) THEN ${line}`).join('\n') + '\n';
} else if (thenCode) {
return `IF (\`${condition}\`) THEN ${thenCode}\n`;
}
return '';
};
c4aGenerator.forBlock['c4a_repeat_times'] = function(block, generator) {
const times = generator.getFieldValue(block, 'TIMES');
const doCode = generator.statementToCode(block, 'DO').trim();
if (doCode) {
// Get first command for repeat
const firstLine = doCode.split('\n')[0];
return `REPEAT (${firstLine}, ${times})\n`;
}
return '';
};
c4aGenerator.forBlock['c4a_repeat_while'] = function(block, generator) {
const condition = generator.getFieldValue(block, 'CONDITION');
const doCode = generator.statementToCode(block, 'DO').trim();
if (doCode) {
// Get first command for repeat
const firstLine = doCode.split('\n')[0];
return `REPEAT (${firstLine}, \`${condition}\`)\n`;
}
return '';
};
// Variable generators
c4aGenerator.forBlock['c4a_setvar'] = function(block, generator) {
const name = generator.getFieldValue(block, 'NAME');
const value = generator.getFieldValue(block, 'VALUE');
return `SETVAR ${name} = "${value}"\n`;
};
// Advanced generators
c4aGenerator.forBlock['c4a_eval'] = function(block, generator) {
const code = generator.getFieldValue(block, 'CODE');
return `EVAL \`${code}\`\n`;
};
c4aGenerator.forBlock['c4a_comment'] = function(block, generator) {
const text = generator.getFieldValue(block, 'TEXT');
return `# ${text}\n`;
};
// Procedure generators
c4aGenerator.forBlock['c4a_proc_def'] = function(block, generator) {
const name = generator.getFieldValue(block, 'NAME');
const body = generator.statementToCode(block, 'BODY');
return `PROC ${name}\n${body}ENDPROC\n`;
};
c4aGenerator.forBlock['c4a_proc_call'] = function(block, generator) {
const name = generator.getFieldValue(block, 'NAME');
return `${name}\n`;
};
// Override scrub_ to handle our custom format
c4aGenerator.scrub_ = function(block, code, opt_thisOnly) {
const nextBlock = block.nextConnection && block.nextConnection.targetBlock();
let nextCode = '';
if (nextBlock) {
if (!opt_thisOnly) {
nextCode = c4aGenerator.blockToCode(nextBlock);
// Add blank line between comment and non-comment blocks
const currentIsComment = block.type === 'c4a_comment';
const nextIsComment = nextBlock.type === 'c4a_comment';
// Add blank line when transitioning from command to comment or vice versa
if (currentIsComment !== nextIsComment && code.trim() && nextCode.trim()) {
nextCode = '\n' + nextCode;
}
}
}
return code + nextCode;
};
@@ -0,0 +1,531 @@
/* DankMono Font Faces */
@font-face {
font-family: 'DankMono';
src: url('DankMono-Regular.woff2') format('woff2');
font-weight: 400;
font-style: normal;
}
@font-face {
font-family: 'DankMono';
src: url('DankMono-Bold.woff2') format('woff2');
font-weight: 700;
font-style: normal;
}
@font-face {
font-family: 'DankMono';
src: url('DankMono-Italic.woff2') format('woff2');
font-weight: 400;
font-style: italic;
}
/* Root Variables - Matching docs theme */
:root {
--global-font-size: 14px;
--global-code-font-size: 13px;
--global-line-height: 1.5em;
--global-space: 10px;
--font-stack: DankMono, Monaco, Courier New, monospace;
--mono-font-stack: DankMono, Monaco, Courier New, monospace;
--background-color: #070708;
--font-color: #e8e9ed;
--invert-font-color: #222225;
--secondary-color: #d5cec0;
--tertiary-color: #a3abba;
--primary-color: #0fbbaa;
--error-color: #ff3c74;
--progress-bar-background: #3f3f44;
--progress-bar-fill: #09b5a5;
--code-bg-color: #3f3f44;
--block-background-color: #202020;
--header-height: 55px;
}
/* Base Styles */
* {
box-sizing: border-box;
}
body {
margin: 0;
padding: 0;
font-family: var(--font-stack);
font-size: var(--global-font-size);
line-height: var(--global-line-height);
color: var(--font-color);
background-color: var(--background-color);
}
/* Terminal Framework */
.terminal {
min-height: 100vh;
}
.container {
width: 100%;
margin: 0 auto;
}
/* Header */
.header-container {
position: fixed;
top: 0;
left: 0;
right: 0;
height: var(--header-height);
background-color: var(--background-color);
border-bottom: 1px solid var(--progress-bar-background);
z-index: 1000;
padding: 0 calc(var(--global-space) * 2);
}
.terminal-nav {
display: flex;
align-items: center;
justify-content: space-between;
height: 100%;
}
.terminal-logo h1 {
margin: 0;
font-size: 1.2em;
color: var(--primary-color);
font-weight: 400;
}
.terminal-menu ul {
list-style: none;
margin: 0;
padding: 0;
display: flex;
gap: 2em;
}
.terminal-menu a {
color: var(--secondary-color);
text-decoration: none;
transition: color 0.2s;
}
.terminal-menu a:hover,
.terminal-menu a.active {
color: var(--primary-color);
}
/* Main Container */
.main-container {
padding-top: calc(var(--header-height) + 2em);
padding-left: 2em;
padding-right: 2em;
max-width: 1400px;
margin: 0 auto;
}
/* Tutorial Grid */
.tutorial-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 2em;
align-items: start;
}
/* Terminal Cards */
.terminal-card {
background-color: var(--block-background-color);
border: 1px solid var(--progress-bar-background);
margin-bottom: 1.5em;
}
.terminal-card header {
background-color: var(--progress-bar-background);
padding: 0.8em 1em;
font-weight: 700;
color: var(--font-color);
display: flex;
justify-content: space-between;
align-items: center;
}
.terminal-card > div {
padding: 1.5em;
}
/* Editor Section */
.editor-controls {
display: flex;
gap: 0.5em;
}
.editor-container {
height: 300px;
overflow: hidden;
}
#c4a-editor {
width: 100%;
height: 100%;
font-family: var(--mono-font-stack);
font-size: var(--global-code-font-size);
background-color: var(--code-bg-color);
color: var(--font-color);
border: none;
padding: 1em;
resize: none;
}
/* JS Output */
.js-output-container {
max-height: 300px;
overflow-y: auto;
}
.js-output-container pre {
margin: 0;
padding: 1em;
background-color: var(--code-bg-color);
}
.js-output-container code {
font-family: var(--mono-font-stack);
font-size: var(--global-code-font-size);
color: var(--font-color);
white-space: pre-wrap;
}
/* Console Output */
.console-output {
font-family: var(--mono-font-stack);
font-size: var(--global-code-font-size);
max-height: 200px;
overflow-y: auto;
padding: 1em;
}
.console-line {
margin-bottom: 0.5em;
}
.console-prompt {
color: var(--primary-color);
margin-right: 0.5em;
}
.console-text {
color: var(--font-color);
}
.console-error {
color: var(--error-color);
}
.console-success {
color: var(--primary-color);
}
/* Playground */
.playground-container {
height: 600px;
background-color: #fff;
border: 1px solid var(--progress-bar-background);
}
#playground-frame {
width: 100%;
height: 100%;
border: none;
}
/* Execution Progress */
.execution-progress {
padding: 1em;
}
.progress-item {
display: flex;
align-items: center;
gap: 0.8em;
margin-bottom: 0.8em;
color: var(--secondary-color);
}
.progress-item.active {
color: var(--primary-color);
}
.progress-item.completed {
color: var(--tertiary-color);
}
.progress-item.error {
color: var(--error-color);
}
.progress-icon {
font-size: 1.2em;
}
/* Buttons */
.btn {
background-color: var(--primary-color);
color: var(--background-color);
border: none;
padding: 0.5em 1em;
font-family: var(--font-stack);
font-size: 0.9em;
cursor: pointer;
transition: all 0.2s;
}
.btn:hover {
background-color: var(--progress-bar-fill);
}
.btn-sm {
padding: 0.3em 0.8em;
font-size: 0.85em;
}
.btn-ghost {
background-color: transparent;
color: var(--secondary-color);
border: 1px solid var(--progress-bar-background);
}
.btn-ghost:hover {
background-color: var(--progress-bar-background);
color: var(--font-color);
}
/* Scrollbars */
::-webkit-scrollbar {
width: 8px;
height: 8px;
}
::-webkit-scrollbar-track {
background: var(--block-background-color);
}
::-webkit-scrollbar-thumb {
background: var(--progress-bar-background);
}
::-webkit-scrollbar-thumb:hover {
background: var(--secondary-color);
}
/* CodeMirror Theme Override */
.CodeMirror {
font-family: var(--mono-font-stack) !important;
font-size: var(--global-code-font-size) !important;
background-color: var(--code-bg-color) !important;
color: var(--font-color) !important;
height: 100% !important;
}
.CodeMirror-gutters {
background-color: var(--progress-bar-background) !important;
border-right: 1px solid var(--progress-bar-background) !important;
}
/* Responsive */
@media (max-width: 1200px) {
.tutorial-grid {
grid-template-columns: 1fr;
}
.playground-section {
order: -1;
}
}
/* Links */
a {
color: var(--primary-color);
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
/* Lists */
ul, ol {
padding-left: 2em;
}
li {
margin-bottom: 0.5em;
}
/* Code */
code {
background-color: var(--code-bg-color);
padding: 0.2em 0.4em;
font-family: var(--mono-font-stack);
font-size: 0.9em;
}
/* Headings */
h1, h2, h3, h4, h5, h6 {
font-weight: 700;
margin-top: 1.5em;
margin-bottom: 0.8em;
}
h3 {
color: var(--primary-color);
font-size: 1.1em;
}
/* Tutorial Panel */
.tutorial-panel {
position: absolute;
top: 60px;
right: 20px;
width: 380px;
background: #1a1a1b;
border: 1px solid #2a2a2c;
border-radius: 8px;
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.5);
z-index: 1000;
transition: all 0.3s ease;
}
.tutorial-panel.hidden {
display: none;
}
.tutorial-header {
display: flex;
justify-content: space-between;
align-items: center;
padding: 16px 20px;
border-bottom: 1px solid #2a2a2c;
}
.tutorial-header h3 {
margin: 0;
color: #0fbbaa;
font-size: 18px;
}
.close-btn {
background: none;
border: none;
color: #8b8b8d;
font-size: 24px;
cursor: pointer;
padding: 0;
width: 30px;
height: 30px;
display: flex;
align-items: center;
justify-content: center;
border-radius: 4px;
transition: all 0.2s;
}
.close-btn:hover {
background: #2a2a2c;
color: #e0e0e0;
}
.tutorial-content {
padding: 20px;
}
.tutorial-content p {
margin: 0 0 16px 0;
color: #e0e0e0;
line-height: 1.6;
}
.tutorial-progress {
margin-top: 16px;
}
.tutorial-progress span {
display: block;
margin-bottom: 8px;
color: #8b8b8d;
font-size: 12px;
text-transform: uppercase;
}
.progress-bar {
height: 4px;
background: #2a2a2c;
border-radius: 2px;
overflow: hidden;
}
.progress-fill {
height: 100%;
background: #0fbbaa;
transition: width 0.3s ease;
}
.tutorial-actions {
display: flex;
gap: 12px;
padding: 0 20px 20px;
}
.tutorial-btn {
flex: 1;
padding: 10px 16px;
background: #2a2a2c;
color: #e0e0e0;
border: 1px solid #3a3a3c;
border-radius: 6px;
font-size: 14px;
cursor: pointer;
transition: all 0.2s;
}
.tutorial-btn:hover:not(:disabled) {
background: #3a3a3c;
transform: translateY(-1px);
}
.tutorial-btn:disabled {
opacity: 0.5;
cursor: not-allowed;
}
.tutorial-btn.primary {
background: #0fbbaa;
color: #070708;
border-color: #0fbbaa;
}
.tutorial-btn.primary:hover {
background: #0da89a;
border-color: #0da89a;
}
/* Tutorial Highlights */
.tutorial-highlight {
position: relative;
animation: pulse 2s infinite;
}
@keyframes pulse {
0% {
box-shadow: 0 0 0 0 rgba(15, 187, 170, 0.4);
}
50% {
box-shadow: 0 0 0 10px rgba(15, 187, 170, 0);
}
100% {
box-shadow: 0 0 0 0 rgba(15, 187, 170, 0);
}
}
.editor-card {
position: relative;
}
@@ -0,0 +1,21 @@
# Demo: Login Flow with Blockly
# This script can be created visually using Blockly blocks
GO https://example.com/login
WAIT `#login-form` 5
# Check if already logged in
IF (EXISTS `.user-avatar`) THEN GO https://example.com/dashboard
# Fill login form
CLICK `#email`
TYPE "demo@example.com"
CLICK `#password`
TYPE "password123"
# Submit form
CLICK `button[type="submit"]`
WAIT `.dashboard` 10
# Success message
EVAL `console.log('Login successful!')`
@@ -0,0 +1,205 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>C4A-Script Interactive Tutorial | Crawl4AI</title>
<link rel="stylesheet" href="assets/app.css">
<link rel="stylesheet" href="assets/blockly-theme.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/6.65.7/codemirror.min.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/6.65.7/theme/material-darker.min.css">
</head>
<body>
<!-- Tutorial Intro Modal -->
<div id="tutorial-intro" class="tutorial-intro-modal">
<div class="intro-content">
<h2>Welcome to C4A-Script Tutorial!</h2>
<p>C4A-Script is a simple language for web automation. This interactive tutorial will teach you:</p>
<ul>
<li>How to handle popups and banners</li>
<li>Form filling and navigation</li>
<li>Advanced automation techniques</li>
</ul>
<div class="intro-actions">
<button id="start-tutorial-btn" class="intro-btn primary">Start Tutorial</button>
<button id="skip-tutorial-btn" class="intro-btn">Skip</button>
</div>
</div>
</div>
<!-- Event Editor Modal -->
<div id="event-editor-overlay" class="modal-overlay hidden"></div>
<div id="event-editor-modal" class="event-editor-modal hidden">
<h4>Edit Event</h4>
<div class="editor-field">
<label>Command Type</label>
<select id="edit-command-type" disabled>
<option value="CLICK">CLICK</option>
<option value="DOUBLE_CLICK">DOUBLE_CLICK</option>
<option value="RIGHT_CLICK">RIGHT_CLICK</option>
<option value="TYPE">TYPE</option>
<option value="SET">SET</option>
<option value="SCROLL">SCROLL</option>
<option value="WAIT">WAIT</option>
</select>
</div>
<div id="edit-selector-field" class="editor-field">
<label>Selector</label>
<input type="text" id="edit-selector" placeholder=".class or #id">
</div>
<div id="edit-value-field" class="editor-field">
<label>Value</label>
<input type="text" id="edit-value" placeholder="Text or number">
</div>
<div id="edit-direction-field" class="editor-field hidden">
<label>Direction</label>
<select id="edit-direction">
<option value="UP">UP</option>
<option value="DOWN">DOWN</option>
<option value="LEFT">LEFT</option>
<option value="RIGHT">RIGHT</option>
</select>
</div>
<div class="editor-actions">
<button id="edit-cancel" class="mini-btn">Cancel</button>
<button id="edit-save" class="mini-btn primary">Save</button>
</div>
</div>
<!-- Main App Layout -->
<div class="app-container">
<!-- Left Panel: Editor -->
<div class="editor-panel">
<div class="panel-header">
<h2>C4A-Script Editor</h2>
<div class="header-actions">
<button id="tutorial-btn" class="action-btn" title="Tutorial">
<span class="icon">📚</span>
</button>
<button id="examples-btn" class="action-btn" title="Examples">
<span class="icon">📋</span>
</button>
<button id="clear-btn" class="action-btn" title="Clear">
<span class="icon">🗑</span>
</button>
<button id="run-btn" class="action-btn primary">
<span class="icon"></span>Run
</button>
<button id="record-btn" class="action-btn record">
<span class="icon"></span>Record
</button>
<button id="timeline-btn" class="action-btn timeline hidden" title="View Timeline">
<span class="icon">📊</span>
</button>
</div>
</div>
<div class="editor-container">
<div id="editor-view" class="editor-wrapper">
<textarea id="c4a-editor" placeholder="# Write your C4A script here..."></textarea>
</div>
<!-- Recording Timeline -->
<div id="timeline-view" class="recording-timeline hidden">
<div class="timeline-header">
<h3>Recording Timeline</h3>
<div class="timeline-actions">
<button id="back-to-editor" class="mini-btn">← Back</button>
<button id="select-all-events" class="mini-btn">Select All</button>
<button id="clear-events" class="mini-btn">Clear</button>
<button id="generate-script" class="mini-btn primary">Generate Script</button>
</div>
</div>
<div id="timeline-events" class="timeline-events">
<!-- Events will be added here dynamically -->
</div>
</div>
</div>
<!-- Bottom: Output Tabs -->
<div class="output-section">
<div class="tabs">
<button class="tab active" data-tab="console">Console</button>
<button class="tab" data-tab="javascript">Generated JS</button>
</div>
<div class="tab-content">
<div id="console-tab" class="tab-pane active">
<div id="console-output" class="console">
<div class="console-line">
<span class="console-prompt">$</span>
<span class="console-text">Ready to run C4A scripts...</span>
</div>
</div>
</div>
<div id="javascript-tab" class="tab-pane">
<div class="js-output-header">
<div class="js-actions">
<button id="copy-js-btn" class="mini-btn" title="Copy">
<span>📋</span>
</button>
<button id="edit-js-btn" class="mini-btn" title="Edit">
<span>✏️</span>
</button>
</div>
</div>
<pre id="js-output" class="js-output">// JavaScript will appear here...</pre>
</div>
</div>
</div>
</div>
<!-- Right Panel: Playground -->
<div class="playground-panel">
<div class="panel-header">
<h2>Playground</h2>
<div class="header-actions">
<button id="reset-playground" class="action-btn" title="Reset">
<span class="icon">🔄</span>
</button>
<button id="fullscreen-btn" class="action-btn" title="Fullscreen">
<span class="icon"></span>
</button>
</div>
</div>
<div class="playground-wrapper">
<iframe id="playground-frame" src="playground/" title="Playground"></iframe>
</div>
</div>
</div>
<!-- Tutorial Navigation Bar -->
<div id="tutorial-nav" class="tutorial-nav hidden">
<div class="tutorial-nav-content">
<div class="tutorial-left">
<div class="tutorial-step-title">
<span id="tutorial-step-info">Step 1 of 9</span>
<span id="tutorial-title">Welcome</span>
</div>
<p id="tutorial-description" class="tutorial-description">Let's start by waiting for the page to load.</p>
</div>
<div class="tutorial-right">
<div class="tutorial-controls">
<button id="tutorial-prev" class="nav-btn" disabled>← Previous</button>
<button id="tutorial-next" class="nav-btn primary">Next →</button>
</div>
<button id="tutorial-exit" class="exit-btn" title="Exit Tutorial">×</button>
</div>
</div>
<div class="tutorial-progress-bar">
<div id="tutorial-progress-fill" class="progress-fill"></div>
</div>
</div>
<!-- Scripts -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/6.65.7/codemirror.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/6.65.7/mode/javascript/javascript.min.js"></script>
<!-- Blockly -->
<script src="https://unpkg.com/blockly/blockly.min.js"></script>
<script src="assets/c4a-blocks.js"></script>
<script src="assets/c4a-generator.js"></script>
<script src="assets/blockly-manager.js"></script>
<script src="assets/app.js"></script>
</body>
</html>
@@ -0,0 +1,604 @@
// Playground App JavaScript
class PlaygroundApp {
constructor() {
this.isLoggedIn = false;
this.currentSection = 'home';
this.productsLoaded = 0;
this.maxProducts = 100;
this.tableRowsLoaded = 10;
this.inspectorMode = false;
this.tooltip = null;
this.init();
}
init() {
this.setupCookieBanner();
this.setupNewsletterPopup();
this.setupNavigation();
this.setupAuth();
this.setupProductCatalog();
this.setupForms();
this.setupTabs();
this.setupDataTable();
this.setupInspector();
this.loadInitialData();
}
// Cookie Banner
setupCookieBanner() {
const banner = document.getElementById('cookie-banner');
const acceptBtn = banner.querySelector('.accept');
const declineBtn = banner.querySelector('.decline');
acceptBtn.addEventListener('click', () => {
banner.style.display = 'none';
console.log('✅ Cookies accepted');
});
declineBtn.addEventListener('click', () => {
banner.style.display = 'none';
console.log('❌ Cookies declined');
});
}
// Newsletter Popup
setupNewsletterPopup() {
const popup = document.getElementById('newsletter-popup');
const closeBtn = popup.querySelector('.close');
const subscribeBtn = popup.querySelector('.subscribe');
// Show popup after 3 seconds
setTimeout(() => {
popup.style.display = 'flex';
}, 3000);
closeBtn.addEventListener('click', () => {
popup.style.display = 'none';
});
subscribeBtn.addEventListener('click', () => {
const email = popup.querySelector('input').value;
if (email) {
console.log(`📧 Subscribed: ${email}`);
popup.style.display = 'none';
}
});
// Close on outside click
popup.addEventListener('click', (e) => {
if (e.target === popup) {
popup.style.display = 'none';
}
});
}
// Navigation
setupNavigation() {
const navLinks = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('.section');
navLinks.forEach(link => {
link.addEventListener('click', (e) => {
e.preventDefault();
const targetId = link.getAttribute('href').substring(1);
// Update active states
navLinks.forEach(l => l.classList.remove('active'));
link.classList.add('active');
// Show target section
sections.forEach(s => s.classList.remove('active'));
const targetSection = document.getElementById(targetId);
if (targetSection) {
targetSection.classList.add('active');
this.currentSection = targetId;
// Load content for specific sections
this.loadSectionContent(targetId);
}
});
});
// Start tutorial button
const startBtn = document.getElementById('start-tutorial');
if (startBtn) {
startBtn.addEventListener('click', () => {
console.log('🚀 Tutorial started!');
alert('Tutorial started! Check the console for progress.');
});
}
}
// Authentication
setupAuth() {
const loginBtn = document.getElementById('login-btn');
const logoutBtn = document.getElementById('logout-btn');
const loginModal = document.getElementById('login-modal');
const loginForm = document.getElementById('login-form');
const closeBtn = loginModal.querySelector('.close');
loginBtn.addEventListener('click', () => {
loginModal.style.display = 'flex';
});
closeBtn.addEventListener('click', () => {
loginModal.style.display = 'none';
});
loginForm.addEventListener('submit', (e) => {
e.preventDefault();
const email = document.getElementById('email').value;
const password = document.getElementById('password').value;
const rememberMe = document.getElementById('remember-me').checked;
const messageEl = document.getElementById('login-message');
// Simple validation
if (email === 'demo@example.com' && password === 'demo123') {
this.isLoggedIn = true;
messageEl.textContent = '✅ Login successful!';
messageEl.className = 'form-message success';
setTimeout(() => {
loginModal.style.display = 'none';
document.getElementById('login-btn').style.display = 'none';
document.getElementById('user-info').style.display = 'flex';
document.getElementById('username-display').textContent = 'Demo User';
console.log(`✅ Logged in${rememberMe ? ' (remembered)' : ''}`);
}, 1000);
} else {
messageEl.textContent = '❌ Invalid credentials. Try demo@example.com / demo123';
messageEl.className = 'form-message error';
}
});
logoutBtn.addEventListener('click', () => {
this.isLoggedIn = false;
document.getElementById('login-btn').style.display = 'block';
document.getElementById('user-info').style.display = 'none';
console.log('👋 Logged out');
});
// Close modal on outside click
loginModal.addEventListener('click', (e) => {
if (e.target === loginModal) {
loginModal.style.display = 'none';
}
});
}
// Product Catalog
setupProductCatalog() {
// View toggle
const infiniteBtn = document.getElementById('infinite-scroll-btn');
const paginationBtn = document.getElementById('pagination-btn');
const infiniteView = document.getElementById('infinite-scroll-view');
const paginationView = document.getElementById('pagination-view');
infiniteBtn.addEventListener('click', () => {
infiniteBtn.classList.add('active');
paginationBtn.classList.remove('active');
infiniteView.style.display = 'block';
paginationView.style.display = 'none';
this.setupInfiniteScroll();
});
paginationBtn.addEventListener('click', () => {
paginationBtn.classList.add('active');
infiniteBtn.classList.remove('active');
paginationView.style.display = 'block';
infiniteView.style.display = 'none';
});
// Load more button
const loadMoreBtn = paginationView.querySelector('.load-more');
loadMoreBtn.addEventListener('click', () => {
this.loadMoreProducts();
});
// Collapsible filters
const collapsibles = document.querySelectorAll('.collapsible');
collapsibles.forEach(header => {
header.addEventListener('click', () => {
const content = header.nextElementSibling;
const toggle = header.querySelector('.toggle');
content.style.display = content.style.display === 'none' ? 'block' : 'none';
toggle.textContent = content.style.display === 'none' ? '▶' : '▼';
});
});
}
setupInfiniteScroll() {
const container = document.querySelector('.products-container');
const loadingIndicator = document.getElementById('loading-indicator');
container.addEventListener('scroll', () => {
if (container.scrollTop + container.clientHeight >= container.scrollHeight - 100) {
if (this.productsLoaded < this.maxProducts) {
loadingIndicator.style.display = 'block';
setTimeout(() => {
this.loadMoreProducts();
loadingIndicator.style.display = 'none';
}, 1000);
}
}
});
}
loadMoreProducts() {
const grid = document.getElementById('product-grid');
const batch = 10;
for (let i = 0; i < batch && this.productsLoaded < this.maxProducts; i++) {
const product = this.createProductCard(this.productsLoaded + 1);
grid.appendChild(product);
this.productsLoaded++;
}
console.log(`📦 Loaded ${batch} more products. Total: ${this.productsLoaded}`);
}
createProductCard(id) {
const card = document.createElement('div');
card.className = 'product-card';
card.innerHTML = `
<div class="product-image">📦</div>
<div class="product-name">Product ${id}</div>
<div class="product-price">$${(Math.random() * 100 + 10).toFixed(2)}</div>
<button class="btn btn-sm">Quick View</button>
`;
// Quick view functionality
const quickViewBtn = card.querySelector('button');
quickViewBtn.addEventListener('click', () => {
alert(`Quick view for Product ${id}`);
});
return card;
}
// Forms
setupForms() {
// Contact Form
const contactForm = document.getElementById('contact-form');
const subjectSelect = document.getElementById('contact-subject');
const departmentGroup = document.getElementById('department-group');
const departmentSelect = document.getElementById('department');
subjectSelect.addEventListener('change', () => {
if (subjectSelect.value === 'support') {
departmentGroup.style.display = 'block';
departmentSelect.innerHTML = `
<option value="">Select department</option>
<option value="technical">Technical Support</option>
<option value="billing">Billing Support</option>
<option value="general">General Support</option>
`;
} else {
departmentGroup.style.display = 'none';
}
});
contactForm.addEventListener('submit', (e) => {
e.preventDefault();
const messageDisplay = document.getElementById('contact-message-display');
messageDisplay.textContent = '✅ Message sent successfully!';
messageDisplay.className = 'form-message success';
console.log('📧 Contact form submitted');
});
// Multi-step Form
const surveyForm = document.getElementById('survey-form');
const steps = surveyForm.querySelectorAll('.form-step');
const progressFill = document.getElementById('progress-fill');
let currentStep = 1;
surveyForm.addEventListener('click', (e) => {
if (e.target.classList.contains('next-step')) {
if (currentStep < 3) {
steps[currentStep - 1].style.display = 'none';
currentStep++;
steps[currentStep - 1].style.display = 'block';
progressFill.style.width = `${(currentStep / 3) * 100}%`;
}
} else if (e.target.classList.contains('prev-step')) {
if (currentStep > 1) {
steps[currentStep - 1].style.display = 'none';
currentStep--;
steps[currentStep - 1].style.display = 'block';
progressFill.style.width = `${(currentStep / 3) * 100}%`;
}
}
});
surveyForm.addEventListener('submit', (e) => {
e.preventDefault();
document.getElementById('survey-success').style.display = 'block';
console.log('📋 Survey submitted successfully!');
});
}
// Tabs
setupTabs() {
const tabBtns = document.querySelectorAll('.tab-btn');
const tabPanes = document.querySelectorAll('.tab-pane');
tabBtns.forEach(btn => {
btn.addEventListener('click', () => {
const targetTab = btn.getAttribute('data-tab');
// Update active states
tabBtns.forEach(b => b.classList.remove('active'));
btn.classList.add('active');
// Show target pane
tabPanes.forEach(pane => {
pane.style.display = pane.id === targetTab ? 'block' : 'none';
});
});
});
// Show more functionality
const showMoreBtn = document.querySelector('.show-more');
const hiddenText = document.querySelector('.hidden-text');
if (showMoreBtn) {
showMoreBtn.addEventListener('click', () => {
if (hiddenText.style.display === 'none') {
hiddenText.style.display = 'block';
showMoreBtn.textContent = 'Show Less';
} else {
hiddenText.style.display = 'none';
showMoreBtn.textContent = 'Show More';
}
});
}
// Load comments
const loadCommentsBtn = document.querySelector('.load-comments');
const commentsSection = document.querySelector('.comments-section');
if (loadCommentsBtn) {
loadCommentsBtn.addEventListener('click', () => {
commentsSection.style.display = 'block';
commentsSection.innerHTML = `
<div class="comment">
<div class="comment-author">John Doe</div>
<div class="comment-text">Great product! Highly recommended.</div>
</div>
<div class="comment">
<div class="comment-author">Jane Smith</div>
<div class="comment-text">Excellent quality and fast shipping.</div>
</div>
`;
loadCommentsBtn.style.display = 'none';
console.log('💬 Comments loaded');
});
}
}
// Data Table
setupDataTable() {
const loadMoreBtn = document.querySelector('.load-more-rows');
const searchInput = document.querySelector('.search-input');
const exportBtn = document.getElementById('export-btn');
const sortableHeaders = document.querySelectorAll('.sortable');
// Load more rows
loadMoreBtn.addEventListener('click', () => {
this.loadMoreTableRows();
});
// Search functionality
searchInput.addEventListener('input', (e) => {
const searchTerm = e.target.value.toLowerCase();
const rows = document.querySelectorAll('#table-body tr');
rows.forEach(row => {
const text = row.textContent.toLowerCase();
row.style.display = text.includes(searchTerm) ? '' : 'none';
});
});
// Export functionality
exportBtn.addEventListener('click', () => {
console.log('📊 Exporting table data...');
alert('Table data exported! (Check console)');
});
// Sorting
sortableHeaders.forEach(header => {
header.addEventListener('click', () => {
console.log(`🔄 Sorting by ${header.getAttribute('data-sort')}`);
});
});
}
loadMoreTableRows() {
const tbody = document.getElementById('table-body');
const batch = 10;
for (let i = 0; i < batch; i++) {
const row = document.createElement('tr');
const id = this.tableRowsLoaded + i + 1;
row.innerHTML = `
<td>User ${id}</td>
<td>user${id}@example.com</td>
<td>${new Date().toLocaleDateString()}</td>
<td><button class="btn btn-sm">Edit</button></td>
`;
tbody.appendChild(row);
}
this.tableRowsLoaded += batch;
console.log(`📄 Loaded ${batch} more rows. Total: ${this.tableRowsLoaded}`);
}
// Load initial data
loadInitialData() {
// Load initial products
this.loadMoreProducts();
// Load initial table rows
this.loadMoreTableRows();
}
// Load content when navigating to sections
loadSectionContent(sectionId) {
switch(sectionId) {
case 'catalog':
// Ensure products are loaded in catalog
if (this.productsLoaded === 0) {
this.loadMoreProducts();
}
break;
case 'data-tables':
// Ensure table rows are loaded
if (this.tableRowsLoaded === 0) {
this.loadMoreTableRows();
}
break;
case 'forms':
// Forms are already set up
break;
case 'tabs':
// Tabs content is static
break;
}
}
// Inspector Mode
setupInspector() {
const inspectorBtn = document.getElementById('inspector-btn');
// Create tooltip element
this.tooltip = document.createElement('div');
this.tooltip.className = 'inspector-tooltip';
this.tooltip.style.cssText = `
position: fixed;
background: rgba(0, 0, 0, 0.9);
color: white;
padding: 8px 12px;
border-radius: 4px;
font-size: 12px;
font-family: monospace;
pointer-events: none;
z-index: 10000;
display: none;
max-width: 300px;
`;
document.body.appendChild(this.tooltip);
inspectorBtn.addEventListener('click', () => {
this.toggleInspector();
});
// Add mouse event listeners
document.addEventListener('mousemove', this.handleMouseMove.bind(this));
document.addEventListener('mouseout', this.handleMouseOut.bind(this));
}
toggleInspector() {
this.inspectorMode = !this.inspectorMode;
const inspectorBtn = document.getElementById('inspector-btn');
if (this.inspectorMode) {
inspectorBtn.classList.add('active');
inspectorBtn.style.background = '#0fbbaa';
document.body.style.cursor = 'crosshair';
} else {
inspectorBtn.classList.remove('active');
inspectorBtn.style.background = '';
document.body.style.cursor = '';
this.tooltip.style.display = 'none';
this.removeHighlight();
}
}
handleMouseMove(e) {
if (!this.inspectorMode) return;
const element = e.target;
if (element === this.tooltip) return;
// Highlight element
this.highlightElement(element);
// Show tooltip with element info
const info = this.getElementInfo(element);
this.tooltip.innerHTML = info;
this.tooltip.style.display = 'block';
// Position tooltip
const x = e.clientX + 15;
const y = e.clientY + 15;
// Adjust position if tooltip would go off screen
const rect = this.tooltip.getBoundingClientRect();
const adjustedX = x + rect.width > window.innerWidth ? x - rect.width - 30 : x;
const adjustedY = y + rect.height > window.innerHeight ? y - rect.height - 30 : y;
this.tooltip.style.left = adjustedX + 'px';
this.tooltip.style.top = adjustedY + 'px';
}
handleMouseOut(e) {
if (!this.inspectorMode) return;
if (e.target === document.body) {
this.removeHighlight();
this.tooltip.style.display = 'none';
}
}
highlightElement(element) {
this.removeHighlight();
element.style.outline = '2px solid #0fbbaa';
element.style.outlineOffset = '1px';
element.setAttribute('data-inspector-highlighted', 'true');
}
removeHighlight() {
const highlighted = document.querySelector('[data-inspector-highlighted]');
if (highlighted) {
highlighted.style.outline = '';
highlighted.style.outlineOffset = '';
highlighted.removeAttribute('data-inspector-highlighted');
}
}
getElementInfo(element) {
const tagName = element.tagName.toLowerCase();
const id = element.id ? `#${element.id}` : '';
const classes = element.className ?
`.${element.className.split(' ').filter(c => c).join('.')}` : '';
let selector = tagName;
if (id) {
selector = id;
} else if (classes) {
selector = `${tagName}${classes}`;
}
// Build info HTML
let info = `<strong>${selector}</strong>`;
// Add additional attributes
const attrs = [];
if (element.name) attrs.push(`name="${element.name}"`);
if (element.type) attrs.push(`type="${element.type}"`);
if (element.href) attrs.push(`href="${element.href}"`);
if (element.value && element.tagName === 'INPUT') attrs.push(`value="${element.value}"`);
if (attrs.length > 0) {
info += `<br><span style="color: #888;">${attrs.join(' ')}</span>`;
}
return info;
}
}
// Initialize app when DOM is ready
document.addEventListener('DOMContentLoaded', () => {
window.playgroundApp = new PlaygroundApp();
console.log('🎮 Playground app initialized!');
});
@@ -0,0 +1,328 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>C4A-Script Playground</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<!-- Cookie Banner -->
<div class="cookie-banner" id="cookie-banner">
<div class="cookie-content">
<p>🍪 We use cookies to enhance your experience. By continuing, you agree to our cookie policy.</p>
<div class="cookie-actions">
<button class="btn accept">Accept All</button>
<button class="btn btn-secondary decline">Decline</button>
</div>
</div>
</div>
<!-- Newsletter Popup (appears after 3 seconds) -->
<div class="modal" id="newsletter-popup" style="display: none;">
<div class="modal-content">
<span class="close">&times;</span>
<h2>📬 Subscribe to Our Newsletter</h2>
<p>Get the latest updates on web automation!</p>
<input type="email" placeholder="Enter your email" class="input">
<button class="btn subscribe">Subscribe</button>
</div>
</div>
<!-- Header -->
<header class="site-header">
<nav class="nav-menu">
<a href="#home" class="nav-link active">Home</a>
<a href="#catalog" class="nav-link" id="catalog-link">Products</a>
<a href="#forms" class="nav-link">Forms</a>
<a href="#data-tables" class="nav-link">Data Tables</a>
<div class="dropdown">
<a href="#" class="nav-link dropdown-toggle">More ▼</a>
<div class="dropdown-content">
<a href="#tabs">Tabs Demo</a>
<a href="#accordion">FAQ</a>
<a href="#gallery">Gallery</a>
</div>
</div>
</nav>
<div class="auth-section">
<button class="btn btn-sm" id="inspector-btn" title="Toggle Inspector">🔍</button>
<button class="btn btn-sm" id="login-btn">Login</button>
<div class="user-info" id="user-info" style="display: none;">
<span class="user-avatar">👤</span>
<span class="welcome-message">Welcome, <span id="username-display">User</span>!</span>
<button class="btn btn-sm btn-secondary" id="logout-btn">Logout</button>
</div>
</div>
</header>
<!-- Main Content -->
<main class="main-content">
<!-- Home Section -->
<section id="home" class="section active">
<h1>Welcome to C4A-Script Playground</h1>
<p>This is an interactive demo for testing C4A-Script commands. Each section contains different challenges for web automation.</p>
<button class="btn btn-primary" id="start-tutorial">Start Tutorial</button>
<div class="feature-grid">
<div class="feature-card">
<h3>🔐 Authentication</h3>
<p>Test login forms and user sessions</p>
</div>
<div class="feature-card">
<h3>📜 Dynamic Content</h3>
<p>Infinite scroll and pagination</p>
</div>
<div class="feature-card">
<h3>📝 Forms</h3>
<p>Complex form interactions</p>
</div>
<div class="feature-card">
<h3>📊 Data Tables</h3>
<p>Sortable and filterable data</p>
</div>
</div>
</section>
<!-- Login Modal -->
<div class="modal" id="login-modal" style="display: none;">
<div class="modal-content login-form">
<span class="close">&times;</span>
<h2>Login</h2>
<form id="login-form">
<div class="form-group">
<label>Email</label>
<input type="email" id="email" class="input" placeholder="demo@example.com">
</div>
<div class="form-group">
<label>Password</label>
<input type="password" id="password" class="input" placeholder="demo123">
</div>
<div class="form-group">
<label class="checkbox-label">
<input type="checkbox" id="remember-me">
Remember me
</label>
</div>
<button type="submit" class="btn btn-primary">Login</button>
<div class="form-message" id="login-message"></div>
</form>
</div>
</div>
<!-- Product Catalog Section -->
<section id="catalog" class="section">
<h1>Product Catalog</h1>
<div class="view-toggle">
<button class="btn btn-sm active" id="infinite-scroll-btn">Infinite Scroll</button>
<button class="btn btn-sm" id="pagination-btn">Pagination</button>
</div>
<!-- Filters Sidebar -->
<div class="catalog-layout">
<aside class="filters-sidebar">
<h3>Filters</h3>
<div class="filter-group">
<h4 class="collapsible">Category <span class="toggle"></span></h4>
<div class="filter-content">
<label><input type="checkbox"> Electronics</label>
<label><input type="checkbox"> Clothing</label>
<label><input type="checkbox"> Books</label>
</div>
</div>
<div class="filter-group">
<h4 class="collapsible">Price Range <span class="toggle"></span></h4>
<div class="filter-content">
<input type="range" min="0" max="1000" value="500">
<span>$0 - $500</span>
</div>
</div>
</aside>
<!-- Products Grid -->
<div class="products-container">
<div class="product-grid" id="product-grid">
<!-- Products will be loaded here -->
</div>
<!-- Infinite Scroll View -->
<div id="infinite-scroll-view" class="view-mode">
<div class="loading-indicator" id="loading-indicator" style="display: none;">
<div class="spinner"></div>
<p>Loading more products...</p>
</div>
</div>
<!-- Pagination View -->
<div id="pagination-view" class="view-mode" style="display: none;">
<button class="btn load-more">Load More</button>
<div class="pagination">
<button class="page-btn">1</button>
<button class="page-btn">2</button>
<button class="page-btn">3</button>
</div>
</div>
</div>
</div>
</section>
<!-- Forms Section -->
<section id="forms" class="section">
<h1>Form Examples</h1>
<!-- Contact Form -->
<div class="form-card">
<h2>Contact Form</h2>
<form id="contact-form">
<div class="form-group">
<label>Name</label>
<input type="text" class="input" id="contact-name">
</div>
<div class="form-group">
<label>Email</label>
<input type="email" class="input" id="contact-email">
</div>
<div class="form-group">
<label>Subject</label>
<select class="input" id="contact-subject">
<option value="">Select a subject</option>
<option value="support">Support</option>
<option value="sales">Sales</option>
<option value="feedback">Feedback</option>
</select>
</div>
<div class="form-group" id="department-group" style="display: none;">
<label>Department</label>
<select class="input" id="department">
<option value="">Select department</option>
</select>
</div>
<div class="form-group">
<label>Message</label>
<textarea class="input" id="contact-message" rows="4"></textarea>
</div>
<button type="submit" class="btn btn-primary">Send Message</button>
<div class="form-message" id="contact-message-display"></div>
</form>
</div>
<!-- Multi-step Form -->
<div class="form-card">
<h2>Multi-step Survey</h2>
<div class="progress-bar">
<div class="progress-fill" id="progress-fill" style="width: 33%"></div>
</div>
<form id="survey-form">
<!-- Step 1 -->
<div class="form-step active" data-step="1">
<h3>Step 1: Basic Information</h3>
<div class="form-group">
<label>Full Name</label>
<input type="text" class="input" id="full-name">
</div>
<div class="form-group">
<label>Email</label>
<input type="email" class="input" id="survey-email">
</div>
<button type="button" class="btn next-step">Next</button>
</div>
<!-- Step 2 -->
<div class="form-step" data-step="2" style="display: none;">
<h3>Step 2: Preferences</h3>
<div class="form-group">
<label>Interests (select multiple)</label>
<select multiple class="input" id="interests">
<option value="tech">Technology</option>
<option value="sports">Sports</option>
<option value="music">Music</option>
<option value="travel">Travel</option>
</select>
</div>
<button type="button" class="btn prev-step">Previous</button>
<button type="button" class="btn next-step">Next</button>
</div>
<!-- Step 3 -->
<div class="form-step" data-step="3" style="display: none;">
<h3>Step 3: Confirmation</h3>
<p>Please review your information and submit.</p>
<button type="button" class="btn prev-step">Previous</button>
<button type="submit" class="btn btn-primary" id="submit-survey">Submit Survey</button>
</div>
</form>
<div class="form-message success-message" id="survey-success" style="display: none;">
✅ Survey submitted successfully!
</div>
</div>
</section>
<!-- Tabs Section -->
<section id="tabs" class="section">
<h1>Tabs Demo</h1>
<div class="tabs-container">
<div class="tabs-header">
<button class="tab-btn active" data-tab="description">Description</button>
<button class="tab-btn" data-tab="reviews">Reviews</button>
<button class="tab-btn" data-tab="specs">Specifications</button>
</div>
<div class="tabs-content">
<div class="tab-pane active" id="description">
<h3>Product Description</h3>
<p>This is a detailed description of the product...</p>
<div class="expandable-text">
<p class="text-preview">Lorem ipsum dolor sit amet, consectetur adipiscing elit...</p>
<button class="btn btn-sm show-more">Show More</button>
<div class="hidden-text" style="display: none;">
<p>This is the hidden text that appears when you click "Show More". It contains additional details about the product that weren't visible initially.</p>
</div>
</div>
</div>
<div class="tab-pane" id="reviews" style="display: none;">
<h3>Customer Reviews</h3>
<button class="btn btn-sm load-comments">Load Comments</button>
<div class="comments-section" style="display: none;">
<!-- Comments will be loaded here -->
</div>
</div>
<div class="tab-pane" id="specs" style="display: none;">
<h3>Technical Specifications</h3>
<table class="specs-table">
<tr><td>Model</td><td>XYZ-2000</td></tr>
<tr><td>Weight</td><td>2.5 kg</td></tr>
<tr><td>Dimensions</td><td>30 x 20 x 10 cm</td></tr>
</table>
</div>
</div>
</div>
</section>
<!-- Data Tables Section -->
<section id="data-tables" class="section">
<h1>Data Tables</h1>
<div class="table-controls">
<input type="text" class="input search-input" placeholder="Search...">
<button class="btn btn-sm" id="export-btn">Export</button>
</div>
<table class="data-table" id="data-table">
<thead>
<tr>
<th class="sortable" data-sort="name">Name ↕</th>
<th class="sortable" data-sort="email">Email ↕</th>
<th class="sortable" data-sort="date">Date ↕</th>
<th>Actions</th>
</tr>
</thead>
<tbody id="table-body">
<!-- Table rows will be loaded here -->
</tbody>
</table>
<button class="btn load-more-rows">Load More Rows</button>
</section>
</main>
<script src="app.js"></script>
</body>
</html>
@@ -0,0 +1,627 @@
/* Playground Styles - Modern Web App Theme */
:root {
--primary-color: #0fbbaa;
--secondary-color: #3f3f44;
--background-color: #ffffff;
--text-color: #333333;
--border-color: #e0e0e0;
--error-color: #ff3c74;
--success-color: #0fbbaa;
--warning-color: #ffa500;
}
* {
box-sizing: border-box;
}
body {
margin: 0;
padding: 0;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 16px;
line-height: 1.6;
color: var(--text-color);
background-color: var(--background-color);
}
/* Cookie Banner */
.cookie-banner {
position: fixed;
bottom: 0;
left: 0;
right: 0;
background-color: #2c3e50;
color: white;
padding: 1rem;
z-index: 1000;
box-shadow: 0 -2px 10px rgba(0,0,0,0.1);
}
.cookie-content {
max-width: 1200px;
margin: 0 auto;
display: flex;
align-items: center;
justify-content: space-between;
flex-wrap: wrap;
gap: 1rem;
}
.cookie-actions {
display: flex;
gap: 0.5rem;
}
/* Header */
.site-header {
background-color: #fff;
border-bottom: 1px solid var(--border-color);
padding: 1rem 2rem;
position: sticky;
top: 0;
z-index: 100;
display: flex;
justify-content: space-between;
align-items: center;
}
.nav-menu {
display: flex;
gap: 2rem;
align-items: center;
}
.nav-link {
text-decoration: none;
color: var(--text-color);
font-weight: 500;
transition: color 0.2s;
}
.nav-link:hover,
.nav-link.active {
color: var(--primary-color);
}
/* Dropdown */
.dropdown {
position: relative;
}
.dropdown-content {
display: none;
position: absolute;
background-color: white;
min-width: 160px;
box-shadow: 0 8px 16px rgba(0,0,0,0.1);
z-index: 1;
border-radius: 4px;
top: 100%;
margin-top: 0.5rem;
}
.dropdown:hover .dropdown-content {
display: block;
}
.dropdown-content a {
color: var(--text-color);
padding: 0.75rem 1rem;
text-decoration: none;
display: block;
}
.dropdown-content a:hover {
background-color: #f5f5f5;
}
/* Auth Section */
.auth-section {
display: flex;
align-items: center;
gap: 1rem;
}
.user-info {
display: flex;
align-items: center;
gap: 0.5rem;
}
.user-avatar {
font-size: 1.5rem;
}
/* Main Content */
.main-content {
padding: 2rem;
max-width: 1200px;
margin: 0 auto;
}
.section {
display: none;
}
.section.active {
display: block;
}
/* Buttons */
.btn {
background-color: var(--primary-color);
color: white;
border: none;
padding: 0.5rem 1rem;
border-radius: 4px;
cursor: pointer;
font-size: 1rem;
font-weight: 500;
transition: all 0.2s;
}
.btn:hover {
background-color: #0aa599;
transform: translateY(-1px);
}
.btn-sm {
padding: 0.25rem 0.75rem;
font-size: 0.875rem;
}
.btn-secondary {
background-color: var(--secondary-color);
}
.btn-secondary:hover {
background-color: #333;
}
.btn-primary {
background-color: var(--primary-color);
}
/* Feature Grid */
.feature-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 1.5rem;
margin-top: 2rem;
}
.feature-card {
background-color: #f8f9fa;
padding: 1.5rem;
border-radius: 8px;
text-align: center;
transition: transform 0.2s;
}
.feature-card:hover {
transform: translateY(-4px);
box-shadow: 0 4px 12px rgba(0,0,0,0.1);
}
.feature-card h3 {
margin-top: 0;
}
/* Modal */
.modal {
position: fixed;
z-index: 1000;
left: 0;
top: 0;
width: 100%;
height: 100%;
background-color: rgba(0,0,0,0.5);
display: flex;
align-items: center;
justify-content: center;
}
.modal-content {
background-color: white;
padding: 2rem;
border-radius: 8px;
max-width: 500px;
width: 90%;
position: relative;
animation: modalFadeIn 0.3s;
}
@keyframes modalFadeIn {
from { opacity: 0; transform: translateY(-20px); }
to { opacity: 1; transform: translateY(0); }
}
.close {
position: absolute;
right: 1rem;
top: 1rem;
font-size: 1.5rem;
cursor: pointer;
color: #999;
}
.close:hover {
color: #333;
}
/* Forms */
.form-group {
margin-bottom: 1rem;
}
.form-group label {
display: block;
margin-bottom: 0.5rem;
font-weight: 500;
}
.input {
width: 100%;
padding: 0.5rem;
border: 1px solid var(--border-color);
border-radius: 4px;
font-size: 1rem;
}
.input:focus {
outline: none;
border-color: var(--primary-color);
}
.checkbox-label {
display: flex;
align-items: center;
gap: 0.5rem;
}
.form-message {
margin-top: 1rem;
padding: 0.75rem;
border-radius: 4px;
display: none;
}
.form-message.error {
background-color: #ffe6e6;
color: var(--error-color);
display: block;
}
.form-message.success {
background-color: #e6fff6;
color: var(--success-color);
display: block;
}
/* Product Catalog */
.view-toggle {
margin-bottom: 1rem;
}
.catalog-layout {
display: grid;
grid-template-columns: 250px 1fr;
gap: 2rem;
}
.filters-sidebar {
background-color: #f8f9fa;
padding: 1rem;
border-radius: 8px;
}
.filter-group {
margin-bottom: 1.5rem;
}
.collapsible {
cursor: pointer;
display: flex;
justify-content: space-between;
align-items: center;
}
.filter-content {
margin-top: 0.5rem;
}
.filter-content label {
display: block;
margin-bottom: 0.5rem;
}
/* Product Grid */
.product-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 1.5rem;
}
.product-card {
background-color: white;
border: 1px solid var(--border-color);
border-radius: 8px;
padding: 1rem;
text-align: center;
transition: transform 0.2s;
}
.product-card:hover {
transform: translateY(-4px);
box-shadow: 0 4px 12px rgba(0,0,0,0.1);
}
.product-image {
width: 100%;
height: 150px;
background-color: #f0f0f0;
margin-bottom: 1rem;
display: flex;
align-items: center;
justify-content: center;
font-size: 3rem;
}
.product-name {
font-weight: 600;
margin-bottom: 0.5rem;
}
.product-price {
color: var(--primary-color);
font-size: 1.2rem;
font-weight: 700;
}
/* Loading Indicator */
.loading-indicator {
text-align: center;
padding: 2rem;
}
.spinner {
border: 3px solid #f3f3f3;
border-top: 3px solid var(--primary-color);
border-radius: 50%;
width: 40px;
height: 40px;
animation: spin 1s linear infinite;
margin: 0 auto;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
/* Pagination */
.pagination {
display: flex;
gap: 0.5rem;
justify-content: center;
margin-top: 2rem;
}
.page-btn {
padding: 0.5rem 1rem;
border: 1px solid var(--border-color);
background-color: white;
cursor: pointer;
border-radius: 4px;
}
.page-btn:hover,
.page-btn.active {
background-color: var(--primary-color);
color: white;
}
/* Multi-step Form */
.progress-bar {
width: 100%;
height: 8px;
background-color: #e0e0e0;
border-radius: 4px;
margin-bottom: 2rem;
}
.progress-fill {
height: 100%;
background-color: var(--primary-color);
border-radius: 4px;
transition: width 0.3s;
}
.form-step {
display: none;
}
.form-step.active {
display: block;
}
/* Tabs */
.tabs-container {
margin-top: 2rem;
}
.tabs-header {
display: flex;
border-bottom: 2px solid var(--border-color);
}
.tab-btn {
background: none;
border: none;
padding: 1rem 2rem;
cursor: pointer;
font-size: 1rem;
font-weight: 500;
color: var(--text-color);
position: relative;
}
.tab-btn:hover {
color: var(--primary-color);
}
.tab-btn.active {
color: var(--primary-color);
}
.tab-btn.active::after {
content: '';
position: absolute;
bottom: -2px;
left: 0;
right: 0;
height: 2px;
background-color: var(--primary-color);
}
.tabs-content {
padding: 2rem 0;
}
.tab-pane {
display: none;
}
.tab-pane.active {
display: block;
}
/* Expandable Text */
.expandable-text {
margin-top: 1rem;
}
.text-preview {
margin-bottom: 0.5rem;
}
.show-more {
margin-top: 0.5rem;
}
/* Comments Section */
.comments-section {
margin-top: 1rem;
}
.comment {
background-color: #f8f9fa;
padding: 1rem;
border-radius: 4px;
margin-bottom: 1rem;
}
.comment-author {
font-weight: 600;
margin-bottom: 0.5rem;
}
/* Data Table */
.table-controls {
display: flex;
gap: 1rem;
margin-bottom: 1rem;
}
.search-input {
flex: 1;
max-width: 300px;
}
.data-table {
width: 100%;
border-collapse: collapse;
background-color: white;
}
.data-table th,
.data-table td {
padding: 0.75rem;
text-align: left;
border-bottom: 1px solid var(--border-color);
}
.data-table th {
background-color: #f8f9fa;
font-weight: 600;
}
.sortable {
cursor: pointer;
}
.sortable:hover {
color: var(--primary-color);
}
/* Form Cards */
.form-card {
background-color: white;
border: 1px solid var(--border-color);
border-radius: 8px;
padding: 2rem;
margin-bottom: 2rem;
}
.form-card h2 {
margin-top: 0;
}
/* Success Message */
.success-message {
background-color: #e6fff6;
color: var(--success-color);
padding: 1rem;
border-radius: 4px;
text-align: center;
font-weight: 500;
}
/* Load More Button */
.load-more,
.load-more-rows {
display: block;
margin: 2rem auto;
}
/* Responsive */
@media (max-width: 768px) {
.catalog-layout {
grid-template-columns: 1fr;
}
.feature-grid {
grid-template-columns: 1fr;
}
.nav-menu {
flex-wrap: wrap;
gap: 1rem;
}
.cookie-content {
flex-direction: column;
text-align: center;
}
}
/* Inspector Mode */
#inspector-btn.active {
background: var(--primary-color) !important;
color: var(--bg-primary) !important;
}
.inspector-tooltip {
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
border: 1px solid rgba(255, 255, 255, 0.1);
}
@@ -0,0 +1,2 @@
flask>=2.3.0
flask-cors>=4.0.0
+304
View File
@@ -0,0 +1,304 @@
#!/usr/bin/env python3
"""
C4A-Script Tutorial Server
Serves the tutorial app and provides C4A compilation API
"""
import sys
import os
from pathlib import Path
from flask import Flask, render_template_string, request, jsonify, send_from_directory
from flask_cors import CORS
# Add parent directories to path to import crawl4ai
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
try:
from crawl4ai.script import compile as c4a_compile
C4A_AVAILABLE = True
except ImportError:
print("⚠️ C4A compiler not available. Using mock compiler.")
C4A_AVAILABLE = False
app = Flask(__name__)
CORS(app)
# Serve static files
@app.route('/')
def index():
return send_from_directory('.', 'index.html')
@app.route('/assets/<path:path>')
def serve_assets(path):
return send_from_directory('assets', path)
@app.route('/playground/')
def playground():
return send_from_directory('playground', 'index.html')
@app.route('/playground/<path:path>')
def serve_playground(path):
return send_from_directory('playground', path)
# API endpoint for C4A compilation
@app.route('/api/compile', methods=['POST'])
def compile_endpoint():
try:
data = request.get_json()
script = data.get('script', '')
if not script:
return jsonify({
'success': False,
'error': {
'line': 1,
'column': 1,
'message': 'No script provided',
'suggestion': 'Write some C4A commands'
}
})
if C4A_AVAILABLE:
# Use real C4A compiler
result = c4a_compile(script)
if result.success:
return jsonify({
'success': True,
'jsCode': result.js_code,
'metadata': {
'lineCount': len(result.js_code),
'sourceLines': len(script.split('\n'))
}
})
else:
error = result.first_error
return jsonify({
'success': False,
'error': {
'line': error.line,
'column': error.column,
'message': error.message,
'suggestion': error.suggestions[0].message if error.suggestions else None,
'code': error.code,
'sourceLine': error.source_line
}
})
else:
# Use mock compiler for demo
result = mock_compile(script)
return jsonify(result)
except Exception as e:
return jsonify({
'success': False,
'error': {
'line': 1,
'column': 1,
'message': f'Server error: {str(e)}',
'suggestion': 'Check server logs'
}
}), 500
def mock_compile(script):
"""Simple mock compiler for demo when C4A is not available"""
lines = [line for line in script.split('\n') if line.strip() and not line.strip().startswith('#')]
js_code = []
for i, line in enumerate(lines):
line = line.strip()
try:
if line.startswith('GO '):
url = line[3:].strip()
# Handle relative URLs
if not url.startswith(('http://', 'https://')):
url = '/' + url.lstrip('/')
js_code.append(f"await page.goto('{url}');")
elif line.startswith('WAIT '):
parts = line[5:].strip().split(' ')
if parts[0].startswith('`'):
selector = parts[0].strip('`')
timeout = parts[1] if len(parts) > 1 else '5'
js_code.append(f"await page.waitForSelector('{selector}', {{ timeout: {timeout}000 }});")
else:
seconds = parts[0]
js_code.append(f"await page.waitForTimeout({seconds}000);")
elif line.startswith('CLICK '):
selector = line[6:].strip().strip('`')
js_code.append(f"await page.click('{selector}');")
elif line.startswith('TYPE '):
text = line[5:].strip().strip('"')
js_code.append(f"await page.keyboard.type('{text}');")
elif line.startswith('SCROLL '):
parts = line[7:].strip().split(' ')
direction = parts[0]
amount = parts[1] if len(parts) > 1 else '500'
if direction == 'DOWN':
js_code.append(f"await page.evaluate(() => window.scrollBy(0, {amount}));")
elif direction == 'UP':
js_code.append(f"await page.evaluate(() => window.scrollBy(0, -{amount}));")
elif line.startswith('IF '):
if 'THEN' not in line:
return {
'success': False,
'error': {
'line': i + 1,
'column': len(line),
'message': "Missing 'THEN' keyword after IF condition",
'suggestion': "Add 'THEN' after the condition",
'sourceLine': line
}
}
condition = line[3:line.index('THEN')].strip()
action = line[line.index('THEN') + 4:].strip()
if 'EXISTS' in condition:
selector_match = condition.split('`')
if len(selector_match) >= 2:
selector = selector_match[1]
action_selector = action.split('`')[1] if '`' in action else ''
js_code.append(
f"if (await page.$$('{selector}').length > 0) {{ "
f"await page.click('{action_selector}'); }}"
)
elif line.startswith('PRESS '):
key = line[6:].strip()
js_code.append(f"await page.keyboard.press('{key}');")
else:
# Unknown command
return {
'success': False,
'error': {
'line': i + 1,
'column': 1,
'message': f"Unknown command: {line.split()[0]}",
'suggestion': "Check command syntax",
'sourceLine': line
}
}
except Exception as e:
return {
'success': False,
'error': {
'line': i + 1,
'column': 1,
'message': f"Failed to parse: {str(e)}",
'suggestion': "Check syntax",
'sourceLine': line
}
}
return {
'success': True,
'jsCode': js_code,
'metadata': {
'lineCount': len(js_code),
'sourceLines': len(lines)
}
}
# Example scripts endpoint
@app.route('/api/examples')
def get_examples():
examples = [
{
'id': 'cookie-banner',
'name': 'Handle Cookie Banner',
'description': 'Accept cookies and close newsletter popup',
'script': '''# Handle cookie banner and newsletter
GO http://127.0.0.1:8000/playground/
WAIT `body` 2
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''
},
{
'id': 'login',
'name': 'Login Flow',
'description': 'Complete login with credentials',
'script': '''# Login to the site
CLICK `#login-btn`
WAIT `.login-form` 2
CLICK `#email`
TYPE "demo@example.com"
CLICK `#password`
TYPE "demo123"
IF (EXISTS `#remember-me`) THEN CLICK `#remember-me`
CLICK `button[type="submit"]`
WAIT `.welcome-message` 5'''
},
{
'id': 'infinite-scroll',
'name': 'Infinite Scroll',
'description': 'Load products with scrolling',
'script': '''# Navigate to catalog and scroll
CLICK `#catalog-link`
WAIT `.product-grid` 3
# Scroll multiple times to load products
SCROLL DOWN 1000
WAIT 1
SCROLL DOWN 1000
WAIT 1
SCROLL DOWN 1000'''
},
{
'id': 'form-wizard',
'name': 'Multi-step Form',
'description': 'Complete a multi-step survey',
'script': '''# Navigate to forms
CLICK `a[href="#forms"]`
WAIT `#survey-form` 2
# Step 1: Basic info
CLICK `#full-name`
TYPE "John Doe"
CLICK `#survey-email`
TYPE "john@example.com"
CLICK `.next-step`
WAIT 1
# Step 2: Preferences
CLICK `#interests`
CLICK `option[value="tech"]`
CLICK `option[value="music"]`
CLICK `.next-step`
WAIT 1
# Step 3: Submit
CLICK `#submit-survey`
WAIT `.success-message` 5'''
}
]
return jsonify(examples)
if __name__ == '__main__':
port = int(os.environ.get('PORT', 8000))
print(f"""
╔══════════════════════════════════════════════════════════╗
║ C4A-Script Interactive Tutorial Server ║
╠══════════════════════════════════════════════════════════╣
║ ║
║ Server running at: http://localhost:{port:<6}
║ ║
║ Features: ║
║ • C4A-Script compilation API ║
║ • Interactive playground ║
║ • Real-time execution visualization ║
║ ║
║ C4A Compiler: {'✓ Available' if C4A_AVAILABLE else '✗ Using mock compiler':<30}
║ ║
╚══════════════════════════════════════════════════════════╝
""")
app.run(host='0.0.0.0', port=port, debug=True)
@@ -0,0 +1,69 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Blockly Test</title>
<style>
body {
margin: 0;
padding: 20px;
background: #0e0e10;
color: #e0e0e0;
font-family: monospace;
}
#blocklyDiv {
height: 600px;
width: 100%;
border: 1px solid #2a2a2c;
}
#output {
margin-top: 20px;
padding: 15px;
background: #1a1a1b;
border: 1px solid #2a2a2c;
white-space: pre-wrap;
}
</style>
</head>
<body>
<h1>C4A-Script Blockly Test</h1>
<div id="blocklyDiv"></div>
<div id="output">
<h3>Generated C4A-Script:</h3>
<pre id="code-output"></pre>
</div>
<script src="https://unpkg.com/blockly/blockly.min.js"></script>
<script src="assets/c4a-blocks.js"></script>
<script>
// Simple test
const workspace = Blockly.inject('blocklyDiv', {
toolbox: `
<xml>
<category name="Test" colour="#1E88E5">
<block type="c4a_go"></block>
<block type="c4a_wait_time"></block>
<block type="c4a_click"></block>
</category>
</xml>
`,
theme: Blockly.Theme.defineTheme('dark', {
'base': Blockly.Themes.Classic,
'componentStyles': {
'workspaceBackgroundColour': '#0e0e10',
'toolboxBackgroundColour': '#1a1a1b',
'toolboxForegroundColour': '#e0e0e0',
'flyoutBackgroundColour': '#1a1a1b',
'flyoutForegroundColour': '#e0e0e0',
}
})
});
workspace.addChangeListener((event) => {
const code = Blockly.JavaScript.workspaceToCode(workspace);
document.getElementById('code-output').textContent = code;
});
</script>
</body>
</html>
@@ -0,0 +1,62 @@
import asyncio
import capsolver
from crawl4ai import *
# TODO: set your config
# Docs: https://docs.capsolver.com/guide/captcha/awsWaf/
api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx" # your api key of capsolver
site_url = "https://nft.porsche.com/onboarding@6" # page url of your target site
cookie_domain = ".nft.porsche.com" # the domain name to which you want to apply the cookie
captcha_type = "AntiAwsWafTaskProxyLess" # type of your target captcha
capsolver.api_key = api_key
async def main():
browser_config = BrowserConfig(
verbose=True,
headless=False,
use_persistent_context=True,
)
async with AsyncWebCrawler(config=browser_config) as crawler:
await crawler.arun(
url=site_url,
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# get aws waf cookie using capsolver sdk
solution = capsolver.solve({
"type": captcha_type,
"websiteURL": site_url,
})
cookie = solution["cookie"]
print("aws waf cookie:", cookie)
js_code = """
document.cookie = \'aws-waf-token=""" + cookie + """;domain=""" + cookie_domain + """;path=/\';
location.reload();
"""
wait_condition = """() => {
return document.title === \'Join Porsches journey into Web3\';
}"""
run_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test",
js_code=js_code,
js_only=True,
wait_for=f"js:{wait_condition}"
)
result_next = await crawler.arun(
url=site_url,
config=run_config,
)
print(result_next.markdown)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,60 @@
import asyncio
import capsolver
from crawl4ai import *
# TODO: set your config
# Docs: https://docs.capsolver.com/guide/captcha/cloudflare_challenge/
api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx" # your api key of capsolver
site_url = "https://gitlab.com/users/sign_in" # page url of your target site
captcha_type = "AntiCloudflareTask" # type of your target captcha
# your http proxy to solve cloudflare challenge
proxy_server = "proxy.example.com:8080"
proxy_username = "myuser"
proxy_password = "mypass"
capsolver.api_key = api_key
async def main():
# get challenge cookie using capsolver sdk
solution = capsolver.solve({
"type": captcha_type,
"websiteURL": site_url,
"proxy": f"{proxy_server}:{proxy_username}:{proxy_password}",
})
cookies = solution["cookies"]
user_agent = solution["userAgent"]
print("challenge cookies:", cookies)
cookies_list = []
for name, value in cookies.items():
cookies_list.append({
"name": name,
"value": value,
"url": site_url,
})
browser_config = BrowserConfig(
verbose=True,
headless=False,
use_persistent_context=True,
user_agent=user_agent,
cookies=cookies_list,
proxy_config={
"server": f"http://{proxy_server}",
"username": proxy_username,
"password": proxy_password,
},
)
async with AsyncWebCrawler(config=browser_config) as crawler:
result = await crawler.arun(
url=site_url,
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
print(result.markdown)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,64 @@
import asyncio
import capsolver
from crawl4ai import *
# TODO: set your config
# Docs: https://docs.capsolver.com/guide/captcha/cloudflare_turnstile/
api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx" # your api key of capsolver
site_key = "0x4AAAAAAAGlwMzq_9z6S9Mh" # site key of your target site
site_url = "https://clifford.io/demo/cloudflare-turnstile" # page url of your target site
captcha_type = "AntiTurnstileTaskProxyLess" # type of your target captcha
capsolver.api_key = api_key
async def main():
browser_config = BrowserConfig(
verbose=True,
headless=False,
use_persistent_context=True,
)
async with AsyncWebCrawler(config=browser_config) as crawler:
await crawler.arun(
url=site_url,
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# get turnstile token using capsolver sdk
solution = capsolver.solve({
"type": captcha_type,
"websiteURL": site_url,
"websiteKey": site_key,
})
token = solution["token"]
print("turnstile token:", token)
js_code = """
document.querySelector(\'input[name="cf-turnstile-response"]\').value = \'"""+token+"""\';
document.querySelector(\'button[type="submit"]\').click();
"""
wait_condition = """() => {
const items = document.querySelectorAll(\'h1\');
return items.length === 0;
}"""
run_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test",
js_code=js_code,
js_only=True,
wait_for=f"js:{wait_condition}"
)
result_next = await crawler.arun(
url=site_url,
config=run_config,
)
print(result_next.markdown)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,67 @@
import asyncio
import capsolver
from crawl4ai import *
# TODO: set your config
# Docs: https://docs.capsolver.com/guide/captcha/ReCaptchaV2/
api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx" # your api key of capsolver
site_key = "6LfW6wATAAAAAHLqO2pb8bDBahxlMxNdo9g947u9" # site key of your target site
site_url = "https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php" # page url of your target site
captcha_type = "ReCaptchaV2TaskProxyLess" # type of your target captcha
capsolver.api_key = api_key
async def main():
browser_config = BrowserConfig(
verbose=True,
headless=False,
use_persistent_context=True,
)
async with AsyncWebCrawler(config=browser_config) as crawler:
await crawler.arun(
url=site_url,
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# get recaptcha token using capsolver sdk
solution = capsolver.solve({
"type": captcha_type,
"websiteURL": site_url,
"websiteKey": site_key,
})
token = solution["gRecaptchaResponse"]
print("recaptcha token:", token)
js_code = """
const textarea = document.getElementById(\'g-recaptcha-response\');
if (textarea) {
textarea.value = \"""" + token + """\";
document.querySelector(\'button.form-field[type="submit"]\').click();
}
"""
wait_condition = """() => {
const items = document.querySelectorAll(\'h2\');
return items.length > 1;
}"""
run_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test",
js_code=js_code,
js_only=True,
wait_for=f"js:{wait_condition}"
)
result_next = await crawler.arun(
url=site_url,
config=run_config,
)
print(result_next.markdown)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,75 @@
import asyncio
import capsolver
from crawl4ai import *
# TODO: set your config
# Docs: https://docs.capsolver.com/guide/captcha/ReCaptchaV3/
api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx" # your api key of capsolver
site_key = "6LdKlZEpAAAAAAOQjzC2v_d36tWxCl6dWsozdSy9" # site key of your target site
site_url = "https://recaptcha-demo.appspot.com/recaptcha-v3-request-scores.php" # page url of your target site
page_action = "examples/v3scores" # page action of your target site
captcha_type = "ReCaptchaV3TaskProxyLess" # type of your target captcha
capsolver.api_key = api_key
async def main():
browser_config = BrowserConfig(
verbose=True,
headless=False,
use_persistent_context=True,
)
# get recaptcha token using capsolver sdk
solution = capsolver.solve({
"type": captcha_type,
"websiteURL": site_url,
"websiteKey": site_key,
"pageAction": page_action,
})
token = solution["gRecaptchaResponse"]
print("recaptcha token:", token)
async with AsyncWebCrawler(config=browser_config) as crawler:
await crawler.arun(
url=site_url,
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
js_code = """
const originalFetch = window.fetch;
window.fetch = function(...args) {
if (typeof args[0] === 'string' && args[0].includes('/recaptcha-v3-verify.php')) {
const url = new URL(args[0], window.location.origin);
url.searchParams.set('action', '""" + token + """');
args[0] = url.toString();
document.querySelector('.token').innerHTML = "fetch('/recaptcha-v3-verify.php?action=examples/v3scores&token=""" + token + """')";
console.log('Fetch URL hooked:', args[0]);
}
return originalFetch.apply(this, args);
};
"""
wait_condition = """() => {
return document.querySelector('.step3:not(.hidden)');
}"""
run_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test",
js_code=js_code,
js_only=True,
wait_for=f"js:{wait_condition}"
)
result_next = await crawler.arun(
url=site_url,
config=run_config,
)
print(result_next.markdown)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,36 @@
import time
import asyncio
from crawl4ai import *
# TODO: the user data directory that includes the capsolver extension
user_data_dir = "/browser-profile/Default1"
"""
The capsolver extension supports more features, such as:
- Telling the extension when to start solving captcha.
- Calling functions to check whether the captcha has been solved, etc.
Reference blog: https://docs.capsolver.com/guide/automation-tool-integration/
"""
browser_config = BrowserConfig(
verbose=True,
headless=False,
user_data_dir=user_data_dir,
use_persistent_context=True,
)
async def main():
async with AsyncWebCrawler(config=browser_config) as crawler:
result_initial = await crawler.arun(
url="https://nft.porsche.com/onboarding@6",
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# do something later
time.sleep(300)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,36 @@
import time
import asyncio
from crawl4ai import *
# TODO: the user data directory that includes the capsolver extension
user_data_dir = "/browser-profile/Default1"
"""
The capsolver extension supports more features, such as:
- Telling the extension when to start solving captcha.
- Calling functions to check whether the captcha has been solved, etc.
Reference blog: https://docs.capsolver.com/guide/automation-tool-integration/
"""
browser_config = BrowserConfig(
verbose=True,
headless=False,
user_data_dir=user_data_dir,
use_persistent_context=True,
)
async def main():
async with AsyncWebCrawler(config=browser_config) as crawler:
result_initial = await crawler.arun(
url="https://gitlab.com/users/sign_in",
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# do something later
time.sleep(300)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,36 @@
import time
import asyncio
from crawl4ai import *
# TODO: the user data directory that includes the capsolver extension
user_data_dir = "/browser-profile/Default1"
"""
The capsolver extension supports more features, such as:
- Telling the extension when to start solving captcha.
- Calling functions to check whether the captcha has been solved, etc.
Reference blog: https://docs.capsolver.com/guide/automation-tool-integration/
"""
browser_config = BrowserConfig(
verbose=True,
headless=False,
user_data_dir=user_data_dir,
use_persistent_context=True,
)
async def main():
async with AsyncWebCrawler(config=browser_config) as crawler:
result_initial = await crawler.arun(
url="https://clifford.io/demo/cloudflare-turnstile",
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# do something later
time.sleep(300)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,36 @@
import time
import asyncio
from crawl4ai import *
# TODO: the user data directory that includes the capsolver extension
user_data_dir = "/browser-profile/Default1"
"""
The capsolver extension supports more features, such as:
- Telling the extension when to start solving captcha.
- Calling functions to check whether the captcha has been solved, etc.
Reference blog: https://docs.capsolver.com/guide/automation-tool-integration/
"""
browser_config = BrowserConfig(
verbose=True,
headless=False,
user_data_dir=user_data_dir,
use_persistent_context=True,
)
async def main():
async with AsyncWebCrawler(config=browser_config) as crawler:
result_initial = await crawler.arun(
url="https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php",
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# do something later
time.sleep(300)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,36 @@
import time
import asyncio
from crawl4ai import *
# TODO: the user data directory that includes the capsolver extension
user_data_dir = "/browser-profile/Default1"
"""
The capsolver extension supports more features, such as:
- Telling the extension when to start solving captcha.
- Calling functions to check whether the captcha has been solved, etc.
Reference blog: https://docs.capsolver.com/guide/automation-tool-integration/
"""
browser_config = BrowserConfig(
verbose=True,
headless=False,
user_data_dir=user_data_dir,
use_persistent_context=True,
)
async def main():
async with AsyncWebCrawler(config=browser_config) as crawler:
result_initial = await crawler.arun(
url="https://recaptcha-demo.appspot.com/recaptcha-v3-request-scores.php",
cache_mode=CacheMode.BYPASS,
session_id="session_captcha_test"
)
# do something later
time.sleep(300)
if __name__ == "__main__":
asyncio.run(main())
+3
View File
@@ -0,0 +1,3 @@
# Welcome to Crawl4AI! 🚀🤖
Hi there, Developer! 👋 Here is an example of a research pipeline, where you can share a URL in your conversation with any LLM, and then the context of crawled pages will be used as the context.
+13
View File
@@ -0,0 +1,13 @@
browser_type: "chromium"
headless: true
viewport_width: 1280
viewport_height: 800
user_agent_mode: "random"
verbose: true
text_mode: false
light_mode: false
ignore_https_errors: true
java_script_enabled: true
extra_args:
- "--disable-gpu"
- "--no-sandbox"
+13
View File
@@ -0,0 +1,13 @@
cache_mode: "bypass"
wait_until: "networkidle"
page_timeout: 30000
delay_before_return_html: 0.5
word_count_threshold: 100
scan_full_page: true
scroll_delay: 0.3
process_iframes: false
remove_overlay_elements: true
magic: true
verbose: true
exclude_external_links: true
exclude_social_media_links: true
+27
View File
@@ -0,0 +1,27 @@
{
"name": "ArticleExtractor",
"baseSelector": ".cards[data-tax=news] .card__data",
"fields": [
{
"name": "title",
"selector": "h4.card__title",
"type": "text"
},
{
"name": "link",
"selector": "h4.card__title a",
"type": "attribute",
"attribute": "href"
},
{
"name": "details",
"selector": ".card__details",
"type": "text"
},
{
"name": "topics",
"selector": ".card__topics.topics",
"type": "text"
}
]
}
+11
View File
@@ -0,0 +1,11 @@
type: "llm"
provider: "openai/gpt-4o-mini"
api_token: "env:OPENAI_API_KEY"
instruction: "Extract all articles with their titles, authors, publication dates and main topics in a structured format"
params:
chunk_token_threshold: 4096
overlap_rate: 0.1
word_token_rate: 0.75
temperature: 0.3
max_tokens: 1000
verbose: true
+3
View File
@@ -0,0 +1,3 @@
type: "json-css"
params:
verbose: true
+26
View File
@@ -0,0 +1,26 @@
{
"title": "NewsArticle",
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The title/headline of the news article"
},
"link": {
"type": "string",
"description": "The URL or link to the full article"
},
"details": {
"type": "string",
"description": "Brief summary or details about the article content"
},
"topics": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of topics or categories associated with the article"
}
},
"required": ["title", "details"]
}

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