Open-source web crawler optimized for AI and LLM use cases. Extracts clean markdown, handles JavaScript-rendered pages, and supports structured data extraction.
This block should tell both the user and the agent what to copy, install, and apply first.
pip install crawl4aifrom crawl4ai import AsyncWebCrawler
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(url="https://example.com")
print(result.markdown) # Clean markdown contentCrawl4AI is purpose-built for feeding web content into LLMs. It crawls pages, renders JavaScript, and outputs clean markdown — perfect for RAG pipelines, research agents, and AI-powered content analysis.
Best for: RAG data ingestion, AI research agents, content extraction, web scraping for LLMs Works with: Any LLM pipeline — LangChain, LlamaIndex, custom agents
Created by unclecode. Licensed under Apache 2.0. unclecode/crawl4ai — 30K+ GitHub stars
Rust-powered Python linter and formatter. 10-100x faster than Flake8 + Black combined. 800+ lint rules, auto-fix, import sorting, and format-on-save.
Rust-powered Python package and project manager. 10-100x faster than pip. Drop-in replacement with lockfiles, virtual environments, and Python version management.
Turn any website into LLM-ready markdown. API-first web scraping with JavaScript rendering, auto-pagination, structured extraction, and batch crawling.