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Academic researchers and analysts use Firecrawl’s deep research mode to aggregate data from hundreds of sources automatically.

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Start with a Template

Fireplexity

Blazing-fast AI search with real-time citations

Firesearch

Deep research agent with LangGraph and answer validation

Open Researcher

Visual AI research assistant for comprehensive analysis
Choose from multiple research templates. Clone, configure your API key, and start researching.

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How It Works

Build powerful research tools that transform scattered web data into comprehensive insights. The core pattern is a search → scrape → analyze → repeat loop: use Firecrawl’s search API to discover relevant sources, scrape each source for full content, then feed the results into an LLM to synthesize findings and identify follow-up queries.
1

Search for sources

Use the /search endpoint to find relevant pages for your research topic.
from firecrawl import Firecrawl

firecrawl = Firecrawl(api_key="fc-YOUR-API-KEY")

results = firecrawl.search(
    "recent advances in quantum computing",
    limit=5,
    scrape_options={"formats": ["markdown", "links"]}
)
2

Scrape discovered pages

Extract full content from each result to get detailed information with citations.
for result in results:
    doc = firecrawl.scrape(result["url"], formats=["markdown"])
    # Feed doc content into your LLM for analysis
3

Analyze and iterate

Use an LLM to synthesize findings, identify gaps, and generate follow-up queries. Repeat the loop until your research question is fully answered.

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Why Researchers Choose Firecrawl

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Accelerate Research from Weeks to Hours

Build automated research systems that discover, read, and synthesize information from across the web. Create tools that deliver comprehensive reports with full citations, eliminating manual searching through hundreds of sources.

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Ensure Research Completeness

Reduce the risk of missing critical information. Build systems that follow citation chains, discover related sources, and surface insights that traditional search methods miss.

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Research Tool Capabilities

  • Iterative Exploration: Build tools that automatically discover related topics and sources
  • Multi-Source Synthesis: Combine information from hundreds of websites
  • Citation Preservation: Maintain full source attribution in your research outputs
  • Intelligent Summarization: Extract key findings and insights for analysis
  • Trend Detection: Identify patterns across multiple sources

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FAQs

Use Firecrawl’s crawl and search APIs to build iterative research systems. Start with search results, extract content from relevant pages, follow citation links, and aggregate findings. Combine with LLMs to synthesize comprehensive research reports.
Yes. Firecrawl can extract data from open-access research papers, academic websites, and publicly available scientific publications. It preserves formatting, citations, and technical content critical for research work.
Firecrawl maintains source attribution and extracts content exactly as presented on websites. All data includes source URLs and timestamps, ensuring full traceability for research purposes.
Yes. Set up scheduled crawls to track how information changes over time. This is perfect for monitoring trends, policy changes, or any research requiring temporal data analysis.
Our crawling infrastructure scales to handle thousands of sources simultaneously. Whether you’re analyzing entire industries or tracking global trends, Firecrawl provides the data pipeline you need.