
When you need structured financial data pulled from investor relations pages, SEC filings, or industry reports, this workflow handles the scraping and formatting for you. It uses Firecrawl's search, scrape, and browser modes to navigate financial portals and extract metrics across multiple companies in parallel. The output is a markdown report with comparison tables, trend analysis, and cited sources, which beats manually copying numbers from ten different investor decks. The quality bar emphasizes cross-referencing figures and flagging conflicts, though you'll still want to verify anything mission critical yourself. Built by the Firecrawl team, so it's a decent reference for their extraction capabilities.
$ npx -y skills add firecrawl/firecrawl-workflows --skill firecrawl-market-research --agent claude-codeInstalls into .claude/skills of the current project.
Use this for sourced market and financial research.
Infer the market/company, data focus, timeframe, and output format from context. If the research target is clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the market/company, required data focus, or timeframe/geography.
Use Firecrawl search and scrape for market reports, news, investor relations, SEC filings, and company pages. Use browser where charts, tabs, period selectors, or financial portals require interaction.
Common sources include company investor relations pages, SEC filings, financial portals, earnings releases, industry reports, and news.
If appropriate, use sub-agents or equivalent parallel task runners:
# Market Research: [Market]
## Market Overview
[Industry description, size, growth, key players]
## Company Profiles
[Financial summary, market metrics, recent developments]
## Comparison Tables
[Revenue, margins, valuation multiples, growth]
## Trends And Outlook
[Industry trends, forecasts, risks]
## Sources
[URLs and data extracted]
## Rerun Inputs
workflow: firecrawl-market-research
query: [market/company]
companies: [list]
data_points: [all/financial/metrics/trends]
output: [json/markdown]
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