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How to Scrape Crunchbase in 2026 (Startups, Funding, Investors)

#webscraping #python #startup #datascience

If you work in sales, VC, or startup research, you already know Crunchbase. It's the go-to database for company profiles, funding rounds, investor networks, and acquisition data. The problem? Their API is expensive, rate-limited, and the free tier barely covers a demo.

Here's how to get structured Crunchbase data in 2026 — at scale, without the enterprise price tag.

Why Crunchbase Data

Crunchbase tracks over 2 million companies globally. That includes:

  • Funding rounds — who raised, how much, from whom, and when
  • Investor portfolios — which VCs are active in your space
  • Company profiles — headcount, location, founding date, description
  • Acquisition history — who bought whom and for how much

For B2B sales teams, this is lead generation gold. For VCs, it's deal flow intelligence. For researchers, it's the most comprehensive startup database available.

The Challenge: Crunchbase Fights Back

Crunchbase is one of the harder sites to scrape. They aggressively block datacenter IPs, fingerprint browsers, and throttle requests. Most off-the-shelf scrapers fail within minutes.

That's why I built a Crunchbase Scraper that uses residential proxies by default. It rotates through real ISP addresses so requests look like normal browser traffic. No CAPTCHA walls, no IP bans.

How It Works

The scraper has three modes:

1. Company Search

Find companies matching your criteria:

{
  "mode": "search",
  "query": "AI startup Series A 2026",
  "maxItems": 100
}
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Returns structured results:

{
  "name": "Nexum AI",
  "description": "Enterprise AI workflow automation platform",
  "fundingTotal": "$18,500,000",
  "lastFundingRound": "Series A - March 2026",
  "investors": ["a16z", "Sequoia Scout", "Y Combinator"],
  "location": "San Francisco, CA",
  "employees": "51-100",
  "founded": "2024"
}
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2. Organization Details

Already have a list of company URLs? Pull full profiles:

{
  "mode": "organization",
  "urls": ["https://www.crunchbase.com/organization/nexum-ai"],
  "maxItems": 10
}
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This gives you everything — funding history, key people, tech stack, news mentions, and similar companies.

3. Funding Rounds

Track investment activity across sectors:

{
  "mode": "funding",
  "query": "healthcare AI 2026",
  "maxItems": 50
}
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Real Use Case: Building a B2B Lead List

Here's a practical workflow. Say you're selling dev tools to recently funded AI startups:

  1. Search: "AI startup Series A 2026" with maxItems: 200
  2. Filter the output for companies with 11-50 employees (early enough to need your tool)
  3. Enrich with LinkedIn data (separate scraper) to find the CTO or VP Engineering
  4. Load into your CRM

What would take a sales team a week of manual Crunchbase browsing takes about 3 minutes.

Proxy Strategy

The residential proxy approach is what makes this work. Crunchbase detects and blocks datacenter IPs within a few requests. The scraper handles proxy rotation automatically — you don't need to configure anything.

If you're running multiple scrapers against protected sites, ScrapeOps is worth looking at for centralized proxy management and monitoring. For the residential proxy layer itself, ThorData is worth considering — their residential pool has strong coverage and per-GB pricing that works well for bandwidth-heavy scraping targets like Crunchbase.

Pricing

Runs on Apify's pay-per-use platform. Residential proxy usage is the main cost driver — expect roughly $0.50-2.00 per 100 results depending on depth. Far cheaper than Crunchbase's API pricing, which starts at $29/month for very limited access.

Legal Note

Scraping publicly available business information is generally legal (see LinkedIn v. hiQ Labs), but always check Crunchbase's terms and your jurisdiction. Use the data responsibly — don't resell raw database dumps.

Getting Started

  1. Open Crunchbase Scraper on Apify
  2. Click "Try for free"
  3. Pick your mode, enter your query
  4. Run and download JSON/CSV/Excel

Works through the Apify API too — plug it into Python, JavaScript, or any HTTP client.

If you're still manually browsing Crunchbase for leads or funding data, you're leaving hours on the table every week. Automate it.

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