wehub-resource-sync
67 lines
2.8 KiB
Markdown
67 lines
2.8 KiB
Markdown
# 🕷️ Scrapegraph-ai Examples
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This directory contains various example implementations of Scrapegraph-ai for different use cases. Each example demonstrates how to leverage the power of Scrapegraph-ai for specific scenarios.
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> **Note:** While these examples showcase implementations using OpenAI and Ollama, Scrapegraph-ai supports many other LLM providers! Check out our [documentation](https://docs.scrapegraphai.com/introduction) for the full list of supported providers.
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## 📚 Available Examples
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- 🧠 `smart_scraper/` - Advanced web scraping with intelligent content extraction
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- 🔎 `search_graph/` - Web search and data retrieval
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- ⚙️ `script_generator_graph/` - Automated script generation
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- 🌐 `depth_search_graph/` - Deep web crawling and content exploration
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- 📊 `csv_scraper_graph/` - Scraping and processing data into CSV format
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- 📑 `xml_scraper_graph/` - XML data extraction and processing
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- 🎤 `speech_graph/` - Speech processing and analysis
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- 🔄 `omni_scraper_graph/` - Universal web scraping for multiple data types
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- 🔍 `omni_search_graph/` - Comprehensive search across multiple sources
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- 📄 `document_scraper_graph/` - Document parsing and data extraction
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- 🛠️ `custom_graph/` - Custom graph implementation examples
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- 💻 `code_generator_graph/` - Code generation utilities
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- 📋 `json_scraper_graph/` - JSON data extraction and processing
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- 📋 `colab example`:
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<a target="_blank" href="https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing#scrollTo=vGDjka17pqqg">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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## 🚀 Getting Started
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1. Choose the example that best fits your use case
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2. Navigate to the corresponding directory
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3. Follow the README instructions in each directory
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4. Configure any required environment variables using the provided `.env.example` files
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## ⚡ Quick Setup
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```bash
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pip install scrapegraphai
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playwright install
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# choose an example
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cd examples/smart_scraper_graph/openai
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# run the example
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python smart_scraper_openai.py
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```
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## 📋 Requirements
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Each example may have its own specific requirements. Please refer to the individual README files in each directory for detailed setup instructions.
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## 📚 Additional Resources
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- 📖 [Full Documentation](https://docs.scrapegraphai.com/introduction)
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- 💡 [Examples Repository](https://github.com/ScrapeGraphAI/ScrapegraphLib-Examples)
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- 🤝 [Community Support](https://github.com/ScrapeGraphAI/scrapegraph-ai/discussions)
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## 🤔 Need Help?
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- Check out our [documentation](https://docs.scrapegraphai.com/introduction)
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- Join our [Discord community](https://discord.gg/scrapegraphai)
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- Open an [issue](https://github.com/ScrapeGraphAI/scrapegraph-ai/issues)
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---
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⭐ Don't forget to star our repository if you find these examples helpful!
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