firecrawl-deep-research

Firecrawl Deep Research

Use this when the user wants a sourced research report, not raw search results.

Onboarding Interview

Infer the topic, depth, and output format from context. If the topic is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the research topic, required depth, or a critical angle/source constraint.

Firecrawl Collection Plan

Use Firecrawl search and scrape through the CLI or equivalent tool surface.

• Quick: search 3-5 queries and scrape 5-10 high-quality sources.
• Thorough: search 5-10 queries from different angles and scrape 15-25 sources.
• Exhaustive: search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources.

Avoid re-scraping URLs already returned with full content from a search-with-scrape result.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners by research angle:

• overview and definitions
• technical or implementation details
• market and industry context
• contrarian views, risks, and limitations
• primary sources and official docs

Each researcher should return claims, source URLs, source quality notes, and uncertainty.

Final Deliverable

Default structure:

# Deep Research: [Topic]

## Executive Summary
[2-3 paragraphs]

## Key Findings
[Numbered findings with source links]

## Detailed Analysis
[Themes, evidence, and synthesis]

## Contrarian Views And Risks
[Counterarguments, limitations, failure modes]

## Open Questions
[What remains uncertain]

## Sources
[Every URL used with a one-line note]

## Rerun Inputs
workflow: firecrawl-deep-research
topic: [topic]
depth: [quick/thorough/exhaustive]
output: [markdown/json/brief]

Quality Bar

• Cite sources for factual claims.
• Prefer primary sources when available.
• Flag uncertainty and conflicting evidence.
• Synthesize instead of listing scrape summaries.