CrawlChat

About CrawlChat

CrawlChat turns product documentation, API references and internal knowledge into a source-linked AI agent so users get answers before a ticket reaches engineering, support or DevRel. Ingestion starts with a URL — paste it and the crawler walks the documentation site into a knowledge base tuned for docs Q&A — and extends to documentation portals, FAQs, specifications, help articles, video tutorials and PDFs, plus Notion, Confluence, Linear issues, GitHub and wikis with auto-sync so answers do not drift as the docs change. The agent then goes wherever the community already is: an embeddable website widget with customisable fonts and styling, a Discord bot with ticketing and moderation workflows, a Slack app, GitHub, an MCP server and a REST API, along with an n8n node for automation. Answers are grounded and cite their sources, which is the property that makes a docs bot trustworthy enough to put in front of users. The analytics layer is the part teams tend to keep it for: every conversation is logged and scored, hallucinations are flagged, and the dashboard surfaces the questions your documentation cannot answer — a ranked list of the gaps worth writing next. Named users include Remotion, Polotno, LocalStack and Konva, which are exactly the kind of technical open-source projects where community support volume outruns the maintainers. Plans are metered on pages indexed and answer credits, with the per-credit message count varying by which model you route to.

Key Features

CrawlChat Pros & Cons

Who Is CrawlChat Best For?

Tags