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# App Name

App description goes here

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Pricing: Free

## Quick Start

Get started with this integration in just a few steps.

### Installation

bash

    pip install crawl4ai

### Basic Usage

python

    from crawl4ai import AsyncWebCrawler

    async def main():
        async with AsyncWebCrawler() as crawler:
            result = await crawler.arun(
                url="https://example.com",
                # Your configuration here
            )
            print(result.markdown)

    if __name__ == "__main__":
        import asyncio
        asyncio.run(main())

### Advanced Configuration

Customize the crawler with these advanced options:

#### 🚀 Performance

Optimize crawling speed with parallel processing and caching strategies.

#### 🔒 Authentication

Handle login forms, cookies, and session management automatically.

#### 🎯 Extraction

Use CSS selectors, XPath, or AI-powered content extraction.

#### 🔄 Proxy Support

Rotate proxies and bypass rate limiting with built-in proxy management.

### Integration Example

python

    from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
    from crawl4ai import LLMConfig
    from crawl4ai.extraction_strategy import LLMExtractionStrategy

    async def extract_with_llm():
        async with AsyncWebCrawler() as crawler:
            result = await crawler.arun(
                url="https://example.com",
                config=CrawlerRunConfig(
                    extraction_strategy=LLMExtractionStrategy(
                        llm_config=LLMConfig(
                            provider="openai/gpt-4o",
                            api_token="your-api-key",
                        ),
                        instruction="Extract product information"
                    ),
                    cache_mode=CacheMode.BYPASS
                )
            )
            return result.extracted_content

    # Run the extraction
    data = await extract_with_llm()
    print(data)

#### 💡 Pro Tip

Use `cache_mode=CacheMode.BYPASS` for a fresh crawl, or `CacheMode.WRITE_ONLY` to avoid refetching.

## Documentation

Complete documentation and API reference.

## Examples

Real-world examples and use cases.

## Support

### 📧 Contact

contact@example.com

### 🐛 Report Issues

Found a bug? Report it on GitHub Issues.

### 💬 Community

Join our Discord for help and discussions.

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