Docs Scraper

🚀 Crawl4AI Documentation Scraper

Keep your dependency documentation concise, up - to - date, and AI - friendly. This toolkit helps you extract clean and focused documentation from any framework or library website, suitable for both human readers and LLM consumption.

🚀 Quick Start

Why Use This Tool?

In today's fast - paced development environment, you need:

• 📚 Quick access to dependency documentation without redundancy.
• 🤖 A format suitable for RAG systems and LLMs.
• 🎯 Focus on content, removing navigation elements, ads, or other irrelevant parts.
• ⚡ Keep documentation updated quickly and efficiently.
• 🧹 Clean Markdown output for easy integration with documentation tools.

Traditional web scraping usually gives you all the content, including navigation menus, footers, ads, etc. This toolkit is specifically designed to extract the actual documentation content.

✨ Features

1. Clean Documentation Output

   • Content in Markdown format focuses on documentation.
   • Structured menu data in JSON format.
   • Suitable for documentation websites, Wikis, and knowledge bases.
   • Ideal format for LLM training and RAG systems.

2. Intelligent Content Extraction

   • Automatically identify the main content area.
   • Remove navigation, ads, and other irrelevant parts.
   • Preserve all original Markdown formats.
   • Support multiple languages (including Chinese).

3. Multi - Threaded Processing

   • Crawl multiple URLs in parallel to speed up the process.
   • Intelligently manage request frequencies to avoid being blocked.

4. Error Handling

   • Comprehensive error handling and retry mechanisms.
   • Detailed logging for easy debugging.

📚 Documentation

Directory Structure

crawl4ai_docs_scraper/
├── input_files/           # Input files for URL processing
│   ├── urls.txt          # Text file with one URL per line
│   └── menu_links.json   # JSON file output from the menu crawler
├── scraped_docs/         # Output directory for Markdown files
│   └── docs_timestamp.md # Generated documentation
├── multi_url_crawler.py
├── menu_crawler.py
└── requirements.txt

Error Handling

All crawlers include comprehensive error handling and colored terminal output:

• 🟢 Green: Success messages
• 🔵 Cyan: Processing status
• 🟡 Yellow: Warnings
• 🔴 Red: Error messages