Crunchbase Company Scraper — Search Results
Pricing
Pay per usage
Crunchbase Company Scraper — Search Results
Scrape Crunchbase company search results: company name, description, location, website, employee count, funding total, industry and last funding date as clean JSON. No API key, login or proxy required.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Oaida Adrian
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
a day ago
Last modified
Categories
Share
Scrape Crunchbase company search results for any keyword and get every company as clean, structured JSON — name, description, location, website, employee count, funding total, industry and last funding date. No API key, no login, no proxy required.
Built for investors, recruiters, sales teams and market researchers who need a fresh company list for a sector.
Why this Actor
- No account, no API key, no proxy budget — reads the public Crunchbase search pages directly with browser-grade TLS.
- Funding signals included — funding total and last funding date on every row, the two numbers investors look at first.
- Company context — description, location, website and employee count make rows usable without cross-referencing.
- Multi-keyword support — scan whole sectors (e.g. "fintech startups", "AI companies") in one run.
- Pay per result — a small fee per company scraped; a 100-company run costs a fraction of a cent.
How it works
For each keyword the Actor requests the Crunchbase company search page, parses the embedded result list, and outputs one dataset item per company — about 25 companies per page, paging automatically up to maxCompaniesPerKeyword.
Input
{"keywords": ["fintech startups", "AI companies"],"maxCompaniesPerKeyword": 10}
| Field | Type | Description |
|---|---|---|
keywords | array | Search terms — required |
maxCompaniesPerKeyword | integer | Companies to scrape per keyword (default 10, max 500) |
Output (one item per company)
{"keyword": "fintech startups","companyName": "Example Fintech Inc.","description": "Digital payments platform for SMBs...","location": "San Francisco, California, US","website": "https://example.com","employeeCount": "11-50","industry": "Financial Services","fundingTotal": "$40,000,000","lastFundingDate": "2025-11-02","companyUrl": "https://www.crunchbase.com/organization/example-fintech"}
Use cases
- 💼 Sales prospecting — build a targeted list of companies in a sector with website and size filters.
- 💰 Investor research — scan a sector for funded companies and their latest funding rounds.
- 🎯 Recruiting — find companies by industry and size band for outreach or acquisition.
- 📊 Market mapping — capture the shape of a niche: who's in it, where they are, how well-funded.
- 🤖 Lead enrichment — merge the output with your CRM to keep prospect data fresh.
Run it from the API
curl -X POST "https://api.apify.com/v2/acts/darknezz~crunchbase-company-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \-H "Content-Type: application/json" \-d '{"keywords":["fintech startups"],"maxCompaniesPerKeyword":50}'
Scheduling: attach an Apify Schedule (e.g. monthly) to track how a sector's company set changes over time.
Pricing
Pay per event: a small fee for each company scraped, plus Apify's standard platform events (actor start + dataset item). No subscription — you pay only for what you run.
FAQ
Do I need a Crunchbase account or API key? No. The Actor reads the public search pages directly; nothing to authenticate.
Why is employeeCount a range? Crunchbase displays employee count as a band (e.g. "11-50") on search results; the Actor returns it as shown.
How accurate is fundingTotal? It is parsed from Crunchbase's displayed figures on the search page — treat it as a ballpark, not an audited statement.
How many companies can I get? Up to maxCompaniesPerKeyword (max 500 per keyword). Crunchbase pages carry ~25 companies each and the Actor pages through automatically.
Is scraping this legal? Search results are public and unauthenticated. You are responsible for complying with Crunchbase's terms and applicable laws for how you use the data.