// Run multi-source deep research with Firecrawl. Use when the user asks to research a topic, compare perspectives, produce a sourced briefing, investigate a technical or market question, or synthesize web evidence across many sources.
Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that design.
Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.
Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.
Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.
Walk through a product's key flows with Firecrawl browser and produce a structured UX/product walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
| name | firecrawl-deep-research |
| description | Run multi-source deep research with Firecrawl. Use when the user asks to research a topic, compare perspectives, produce a sourced briefing, investigate a technical or market question, or synthesize web evidence across many sources. |
| license | ISC |
| metadata | {"author":"firecrawl","version":"0.1.0","homepage":"https://www.firecrawl.dev","source":"https://github.com/firecrawl/firecrawl-workflows"} |
| inputs | [{"name":"FIRECRAWL_API_KEY","description":"Firecrawl API key for hosted Firecrawl requests.","required":true}] |
Use this when the user wants a sourced research report, not raw search results.
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.
Use Firecrawl search and scrape through the CLI or equivalent tool surface.
Avoid re-scraping URLs already returned with full content from a search-with-scrape result.
If appropriate, use sub-agents or equivalent parallel task runners by research angle:
Each researcher should return claims, source URLs, source quality notes, and uncertainty.
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]