Power AI Platforms
with Web Data
Ship web search, live page reads, document parsing, and change alerts inside your AI product,
without running the scraping infrastructure yourself.
companies of all sizes
Perfect for
AI app platforms
Offer web search, scrape, parse, and change monitoring as first-class primitives customers reach for the same way they reach for auth or storage.
Agent frameworks
Pre-wire live web tools so every agent your users spin up can search, read, parse, and stay in sync without a bring-your-own-scraper story.
RAG and semantic search products
Keep vector stores fresh and citations honest with clean markdown, preserved URLs, and diff alerts when the source page moves.
Coding-focused platforms
Ground in-product coding help with the Developer Index so answers pull from issue threads, merged PRs, and READMEs instead of marketing pages.
Research and evidence-driven products
Back your customers' claims with citation-ready passages from the Firecrawl Research Index across 3M+ arXiv papers and a life sciences corpus.
Chatbot platforms
Give every customer's assistant access to live web results and clean page content so answers cite fresh sources instead of guessing from pretraining knowledge.
LLM grounding and hallucination-reduction tools
Anchor every generation in Firecrawl-collected pages and Research Index passages so downstream models reason over real data with a URL or paper ID next to every claim.
How it works
Offer web search as a built-in primitive
Expose Firecrawl Search through your platform so every customer gets query-to-URL discovery inside their own product, without you standing up a search stack. One call returns ranked results plus the option to hydrate the pages behind them.
Read modern sites in one API call
Route customer scrapes through Firecrawl and get clean Markdown or structured JSON from JavaScript-heavy sites, dashboards, and SPAs, so your product returns content instead of empty shells on the pages that matter most.
Parse the documents your customers upload
Send PDFs, DOCX, DOC, ODT, RTF, XLSX, XLS, and HTML files to Parse and Firecrawl returns layout-aware Markdown ready for RAG, agent context, or search indexing. Page classification runs OCR only where it is needed, so customers do not wait on unnecessary work.
Ground coding features in the Developer Index
Products with in-product coding help can query the Developer Index for issue threads, merged pull requests, READMEs, and curated docs, either through the standard search method's developer category or a dedicated endpoint. On the DevDex benchmark the index hits 0.66 recall@10 versus 0.45 for native web search.
Ground research features in the Research Index
Products that back claims with evidence can query the Firecrawl Research Index across 3M+ arXiv papers plus a life sciences corpus. Each call returns query-ranked in-body passages, metadata, and citation-graph traversal your customers can cite in their own outputs.
Monitor the pages each workspace depends on
Point Monitor at the docs, competitor pages, or changelogs a workspace tracks and set a schedule. Diffs plus an AI judge fire a webhook when something meaningful changes, so your product shows fresh signal instead of yesterday's snapshot.
People love
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How Firecrawl compares to alternatives
| Feature | Firecrawl | Manual CSV uploads | Browser extensions | Generic scrapers |
|---|---|---|---|---|
| Web search API (/search) | Yes | No | No | No |
| Site crawling (/crawl) | Yes | No | No | Yes |
| Extract to JSON (/extract) | Yes | No | No | Yes |
| Document parsing (PDF, DOCX, XLSX) | Yes | No | No | No |
| Developer Index for code Q&A | Yes | No | No | No |
| Research Index for cited academic passages | Yes | No | No | No |
| Change monitoring with AI-filtered alerts | Yes | No | No | No |
| Structured markdown output | Yes | No | No | No |
| Automatic scheduling & refresh | Yes | No | No | Yes |
| JavaScript rendering | Yes | No | Yes | No |
| URL metadata preserved | Yes | No | No | No |
| Multi-tenant scoping | Yes | No | No | No |
| API-first integration | Yes | No | No | Yes |
| Built-in rate limiting & retries | Yes | No | No | No |
| No manual intervention required | Yes | No | No | No |
All Customer Stories
How Stanford's AI Playground Covers 10,000+ Domains for Real-Time LLM Grounding
AI Playground serves the Stanford community by augmenting LLM responses with real-time web data across 10,000+ domains, processing about 800 sources daily using Firecrawl's Search and Scrape endpoints.
How Credal Extracts 6M+ URLs Monthly to Power Production AI Agents
How Credal uses Firecrawl to deliver reliable web scraping at scale for enterprise AI agents that need both fresh external context and durable knowledge base ingestion.
How Zapier Powers AI Chatbots with Web Knowledge Using Firecrawl
How Zapier integrated Firecrawl into Zapier Chatbots to let customers connect public websites and help centers as knowledge sources, without writing scraping code.
Tutorials & guides
How to Give AI Coding Agents Up-to-Date Documentation
Why LLMs write code against last year's APIs, how docs RAG actually works, and how to give Cursor and Claude Code current, version-specific documentation using Firecrawl, MCP, and the Firecrawl Developer Index.
Read tutorial →
How AI Agents Can Reliably Search Academic Papers in 2026
Compare five academic search APIs for AI agents, with current rate limits, retrieval tradeoffs, TypeScript examples, and real Firecrawl output.
Read tutorial →
How to Search, Scrape, and Crawl the Web from a Convex App with Firecrawl
Build a documentation search app on Convex using Firecrawl search, crawl, and scrape. The official Firecrawl Convex component runs inside your deployment and writes crawled pages into your database as they arrive, so your React UI subscribes to a crawl instead of polling for it.
Read tutorial →
Frequently
asked questions
Flexible pricing
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High-volume plans for teams that need more power and dedicated support. Get access to higher rate limits, more concurrent browsers, and priority support. Scale checks out instantly, no sales call needed.
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