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[ 01 / 03 ]
·
Use Cases
Deep research in progress...
Academic papers
0 found
News articles
0 found
Expert opinions
0 found
Research reports
0 found
Industry data
0 found
Ask anything...
How it works
Call Firecrawl’s /search from your agents so each research question starts from a focused set of relevant sources instead of the open web.
Use /scrape or /crawl to pull docs, blogs, filings, and PDFs into markdown or JSON so your pipelines always ingest the same structure, no matter the site.
Keep URLs, titles, and timestamps on every chunk so you can show citations in the UI and audit how each answer was assembled.
Schedule Firecrawl jobs for competitors and industry sources so your research stack tracks changes automatically without manual checks.
Run larger Firecrawl jobs across thousands of pages so you can scale research projects without adding new scraping infrastructure.
Feed Firecrawl output into your answer engine or RAG stack so agents synthesize long-form answers backed by verifiable sources.
[ 02 / 03 ]
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What Our Customers Say
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Tutorials & Guides
11 AI Agent Projects You Can Build Today (With Guides)
Discover 11 practical AI agent projects with step-by-step guides, from research assistants to workflow automation.
Read tutorial →
Building a Local Deep Research Application with Firecrawl and Streamlit
Learn to build a web research tool that explores sources, synthesizes information, and provides comprehensive answers with citations.
Read tutorial →
Introducing Fireplexity, our Open Source AI Answer Engine
Build your own AI-powered answer engine with real-time web search and intelligent synthesis.
Read tutorial →
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Everything you need to know about this use case.
General
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[ 03 / 03 ]
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Pricing
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The easiest way to extract
data from the web
data from the web
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