Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
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]
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
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.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill. Do not use for a literature review over published papers. This skill collects evidence from the open web. A request for the literature on a biomedical, clinical, life-science, or other scientific topic — papers, studies, trials, preprints — belongs to firecrawl-research-papers, which queries Firecrawl's paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.