Crawl4AI: Open Source LLM-Friendly Web Crawler and Scraping Tool

Crawl4AI is an open-source, LLM-friendly web crawler and scraper framework delivering blazing-fast, real-time web crawling tailored for AI workflows, with built-in support for Markdown generation, structured data extraction, managed browsers, and multiple crawling strategies. The project boasts 43.2k stars and is licensed under Apache-2.0, backed by an active community with continuous updates. Users can install via pip or deploy with Docker to seamlessly integrate into AI pipelines and LLM applications. The latest release v0.6.0 introduces world-aware crawling, table-to-DataFrame extraction, and browser pooling with pre-warming, dramatically enhancing performance and flexibility. Crawl4AI also supports proxy authentication, session management, caching, and error-handling hooks, and provides the crwl CLI for deep crawls and LLM-powered content extraction.

Crawl4AI: Open Source LLM-Friendly Web Crawler and Scraping Tool

Official website: https://github.com/unclecode/crawl4ai

✨ Features

📝 Markdown Generation
  • 🧹 Clean Markdown: Generates clean, structured Markdown with accurate formatting.
  • 🎯 Fit Markdown: Heuristic-based filtering to remove noise and irrelevant parts for AI-friendly processing.
  • 🔗 Citations and References: Converts page links into a numbered reference list with clean citations.
  • 🛠️ Custom Strategies: Users can create their own Markdown generation strategies tailored to specific needs.
  • 📚 BM25 Algorithm: Employs BM25-based filtering for extracting core information and removing irrelevant content.
📊 Structured Data Extraction
  • 🤖 LLM-Driven Extraction: Supports all LLMs (open-source and proprietary) for structured data extraction.
  • 🧱 Chunking Strategies: Implements chunking (topic-based, regex, sentence-level) for targeted content processing.
  • 🌌 Cosine Similarity: Find relevant content chunks based on user queries for semantic extraction.
  • 🔎 CSS-Based Extraction: Fast schema-based data extraction using XPath and CSS selectors.
  • 🔧 Schema Definition: Define custom schemas for extracting structured JSON from repetitive patterns.
🌐 Browser Integration
  • 🖥️ Managed Browser: Use user-owned browsers with full control, avoiding bot detection.
  • 🔄 Remote Browser Control: Connect to Chrome Developer Tools Protocol for remote, large-scale data extraction.
  • 👤 Browser Profiler: Create and manage persistent profiles with saved authentication states, cookies, and settings.
  • 🔒 Session Management: Preserve browser states and reuse them for multi-step crawling.
  • 🧩 Proxy Support: Seamlessly connect to proxies with authentication for secure access.
  • ⚙️ Full Browser Control: Modify headers, cookies, user agents, and more for tailored crawling setups.
  • 🌍 Multi-Browser Support: Compatible with Chromium, Firefox, and WebKit.
  • 📐 Dynamic Viewport Adjustment: Automatically adjusts the browser viewport to match page content, ensuring complete rendering and capturing of all elements.
🔎 Crawling & Scraping
  • 🖼️ Media Support: Extract images, audio, videos, and responsive image formats like srcset and picture.
  • 🚀 Dynamic Crawling: Execute JS and wait for async or sync for dynamic content extraction.
  • 📸 Screenshots: Capture page screenshots during crawling for debugging or analysis.
  • 📂 Raw Data Crawling: Directly process raw HTML (raw:) or local files (file://).
  • 🔗 Comprehensive Link Extraction: Extracts internal, external links, and embedded iframe content.
  • 🛠️ Customizable Hooks: Define hooks at every step to customize crawling behavior.
  • 💾 Caching: Cache data for improved speed and to avoid redundant fetches.
  • 📄 Metadata Extraction: Retrieve structured metadata from web pages.
  • 📡 IFrame Content Extraction: Seamless extraction from embedded iframe content.
  • 🕵️ Lazy Load Handling: Waits for images to fully load, ensuring no content is missed due to lazy loading.
  • 🔄 Full-Page Scanning: Simulates scrolling to load and capture all dynamic content, perfect for infinite scroll pages.
🚀 Deployment
  • 🐳 Dockerized Setup: Optimized Docker image with FastAPI server for easy deployment.
  • 🔑 Secure Authentication: Built-in JWT token authentication for API security.
  • 🔄 API Gateway: One-click deployment with secure token authentication for API-based workflows.
  • 🌐 Scalable Architecture: Designed for mass-scale production and optimized server performance.
  • ☁️ Cloud Deployment: Ready-to-deploy configurations for major cloud platforms.
🎯 Additional Features
  • 🕶️ Stealth Mode: Avoid bot detection by mimicking real users.
  • 🏷️ Tag-Based Content Extraction: Refine crawling based on custom tags, headers, or metadata.
  • 🔗 Link Analysis: Extract and analyze all links for detailed data exploration.
  • 🛡️ Error Handling: Robust error management for seamless execution.
  • 🔐 CORS & Static Serving: Supports filesystem-based caching and cross-origin requests.
  • 📖 Clear Documentation: Simplified and updated guides for onboarding and advanced usage.
  • 🙌 Community Recognition: Acknowledges contributors and pull requests for transparency.

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