AI Agents &
Knowledge Bases
Stop hand-uploading knowledge bases.
Crawl and extract docs, help centers, and product sites with Firecrawl.
companies of all sizes












































Perfect for
Customer support chatbots
Deflect tickets with grounded answers from your docs, FAQs, and troubleshooting guides, with citations back to source pages.
AI agent builders
Keep agents synced with the latest product docs, help center updates, and changelogs without manual exports or brittle scrapers.
Sales and solutions assistants
Answer product and pricing questions accurately using up to date public pages and integration docs, not stale PDFs.
Internal enablement copilots
Power employee facing assistants with scoped knowledge bases so teams only access the content they are allowed to use.

How it works
Crawl your content sources
Crawl docs, help centers, and product sites into structured markdown or JSON. Your AI assistants start from the same source-of-truth content your customers see.
Extract with rich metadata
Attach URLs, section titles, and metadata to every chunk so chatbots can show citations and 'read more' links instead of opaque answers support teams can't audit.
Schedule automatic refreshes
Schedule Firecrawl crawls for customer-facing sites so AI chatbots and RAG knowledge bases refresh automatically before launches, campaigns, or support spikes.
Scope content by tenant
Scope Firecrawl jobs by domain and path per workspace or tenant so each AI assistant only loads the content it is allowed to use.
Feed into your RAG stack
Feed Firecrawl output directly into your RAG pipelines, vector stores, or AI search stack so assistants answer long-tail questions from product documentation.
Discover new content
Combine Firecrawl search and crawl jobs so you can discover new relevant pages over time and close knowledge gaps in your AI chat knowledge base.
People love
building with Firecrawl











Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."

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Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."

Upload a CSV of emails and..."
How Firecrawl compares to alternatives
| Feature | Firecrawl | Manual CSV uploads | Browser extensions | Generic scrapers |
|---|---|---|---|---|
| Structured markdown output | ||||
| Automatic scheduling & refresh | ||||
| JavaScript rendering | ||||
| URL metadata preserved | ||||
| Multi-tenant scoping | ||||
| API-first integration | ||||
| Built-in rate limiting & retries | ||||
| No manual intervention required |
Customer Stories



Tutorials & Guides

Building an Intelligent Code Documentation RAG Assistant with DeepSeek and Firecrawl
A guide to building a documentation assistant that uses DeepSeek and RAG to intelligently answer questions about any documentation website.

Best Chunking Strategies for RAG in 2025
Compare six chunking strategies for RAG systems using real benchmark data with practical LangChain and LlamaIndex code examples.

10 AI Projects You Can Build with Firecrawl Now
Discover 10 practical AI projects you can build with Firecrawl, from chatbots to data enrichment tools.
Frequently
asked questions
data from the web