Crawl4AI is an amazing open-source library that solves many LLM-scraping headaches, but I found that new developers often struggle with production configurations—specifically how to use it with MCP servers for Cursor, or how to bridge it with automation tools like n8n.
I built crawl4ai.dev as a community-driven documentation hub to fill these gaps. It includes:
One-click Docker setups for n8n/FastAPI.
Production-ready MCP server guides for Cursor & Claude.
Cost/performance benchmarks vs proprietary tools like Firecrawl.
The goal is to help everyone build self-hosted, affordable AI data pipelines. I'd love to hear your feedback on the guides or what other integrations you'd like to see documented!