crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Crawl4AI is an MCP server that transforms web pages into clean, structured Markdown optimized for large language models and AI agents. It provides intelligent web crawling with adaptive learning, browser automation, and multiple extraction strategies including LLM-driven and CSS-based approaches. The server supports deep crawling with crash recovery, handles dynamic content through JavaScript execution, and offers deployment options via Python package, Docker API, or command-line interface. Designed for RAG pipelines, AI agents, and data extraction workflows, it delivers fast, controllable crawling with session management, proxy support, and anti-bot detection.
Key Features
Use Cases
- 01Building RAG (Retrieval-Augmented Generation) pipelines that need structured web content for AI models
- 02Extracting product data, pricing, and specifications from e-commerce sites using CSS selectors or LLM extraction
- 03Crawling documentation sites and knowledge bases to create searchable embeddings for AI assistants
- 04Monitoring news sites and blogs for content changes with adaptive crawling strategies
- 05Scraping academic papers, research articles, and technical documentation for AI training datasets
- 06Automating data collection from dynamic JavaScript-heavy sites with session persistence and proxy rotation
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crawl4ai — FAQ
What is Crawl4AI?+
Crawl4AI is an open-source MCP server and web crawler designed to extract web content and convert it into clean, LLM-ready Markdown for AI agents, RAG systems, and data pipelines. It supports both simple crawling and complex multi-page extraction with intelligent strategies.
How do I install Crawl4AI?+
Install via pip with 'pip install -U crawl4ai' followed by 'crawl4ai-setup' to configure the browser. For MCP integration, you can also deploy the Docker server with 'docker run -d -p 11235:11235 unclecode/crawl4ai:latest' and connect through the MCP protocol.
Which AI clients and tools work with Crawl4AI?+
Crawl4AI works as a standalone Python library, Docker API server with MCP integration for tools like Claude, and can be used programmatically in any AI workflow. The Docker deployment includes built-in MCP support for direct connection to AI assistants.
Do I need API keys or prerequisites?+
Crawl4AI requires no API keys for basic crawling. You need Python 3.10+ and Playwright for browser automation. Optional LLM extraction features require API keys for your chosen provider (OpenAI, Anthropic, etc.), and proxy services require separate authentication if used.
Is Crawl4AI free to use?+
Yes, Crawl4AI is fully open-source under Apache 2.0 license and free to use. The core library has no rate limits or usage restrictions, though a managed cloud API is in closed beta for large-scale deployments.
Can Crawl4AI handle anti-bot protection and dynamic content?+
Yes, Crawl4AI includes stealth mode, anti-bot detection with automatic proxy escalation, session management, and full browser control. It can execute JavaScript, wait for dynamic content, handle lazy loading, and simulate scrolling for infinite-scroll pages.
How do I install crawl4ai?+
Open the source repository on GitHub and follow its README. crawl4ai is a mcp server — MCP Agents Market links you directly to the official repo.
Is crawl4ai free?+
crawl4ai is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.