Tutorial 13 min read

Apify Crunchbase Scraper: Extract Company, Funding & Investor Data (2026)

Crunchbase is where startup funding lives — who raised what, from whom, when, and who founded them. It is also $99+/mo per seat for meaningful access, and its API is enterprise-priced. Scraping the public profile data in Apify is the workaround sales teams, VCs, and researchers use when they need the intelligence without the per-seat tax or API contract.

The highest-value use is sales trigger events: a company that closed a Series B last Tuesday has fresh budget and a mandate to spend it — that is the single best outreach timing signal in B2B. Scraping Crunchbase funding announcements into a weekly "just-raised" list is a prospecting edge that most sales teams pay data vendors for.

This guide covers the 4 datasets, the sales-trigger play, VC sourcing, research use, and the compliance reality — Crunchbase restricts scraping more actively than most sites. Related: [Apify for VC deal sourcing](/blog/apify-for-vc-deal-sourcing), [Apify for sales teams](/blog/apify-for-sales-teams), [Apify lead generation](/blog/apify-lead-generation).

Quick Answer

Apify Crunchbase scraping: extract company profiles, funding rounds, investors, people. For sales trigger events (just-raised companies), VC sourcing, and market research. Crunchbase restricts scraping — respect limits and ToS.

Apify Crunchbase scraping: extract company profiles, funding rounds, investors, people. For sales trigger events (just-raised companies), VC sourcing, and market research. Crunchbase restricts scraping — respect limits and ToS.

  • Crunchbase is the startup-funding database — company profiles, rounds, investors, acquisitions, and key people. Scraping it unlocks the data without per-seat pricing.
  • The 4 datasets: company profiles (firmographics), funding rounds (amount/investor/date), people (founders/execs), acquisitions.
  • Sales use: companies that JUST raised have budget — funding events are the highest-converting outreach trigger.
  • VC use: portfolio monitoring, deal sourcing, competitive mapping of investors and co-investors.
  • Research use: funding-trend analysis, sector mapping, ecosystem studies.
  • Compliance note: Crunchbase actively restricts scraping — respect rate limits, public profile data only, and check ToS. Some data may be license-restricted.

1. Why Crunchbase data matters

The startup-intelligence hub:

  • The funding record: rounds, amounts, investors, dates — the financial history of private companies.
  • Firmographics: industry, size, location, founding, categories — ICP-fit data.
  • People: founders, execs, board members — who to contact and who backs them.
  • The cost problem: meaningful access is $99+/mo/seat or enterprise API — scraping is the budget path.

Crunchbase holds startup funding records, firmographics, and people — the intelligence layer for B2B sales and VC. Per-seat pricing is why scraping it is attractive.

2. The sales-trigger play — the highest-value use

Just-raised companies are the best prospects:

  • The signal: a fresh funding round = new budget + mandate to spend + urgency to execute. The single best B2B outreach timing.
  • The play: scrape recent funding announcements filtered to your ICP → weekly "just raised" list → reach out while the round is news.
  • Layer it: funding event + your product's relevance (e.g., they raised to hire → you sell recruiting tools) = a "why now" opening line.
  • Speed matters: the round is freshest for weeks — the first vendor to reference it wins attention.

A fresh funding round is the best outreach trigger in B2B — new budget + mandate + urgency. A weekly "just-raised" ICP list is prospecting gold. Speed wins; the round is news for weeks.

🤖

Apify

4.7Verified partner

Web scraping and automation platform — Free / $49/mo Starter

3. VC and investor use cases

The other side of the table:

  • Deal sourcing: scrape companies in your thesis + traction signals → pipeline.
  • Portfolio monitoring: track your portfolio companies' and competitors' funding events.
  • Investor mapping: who invests in your space, at what stage, alongside whom — competitive and co-investor intel.
  • Market timing: funding-velocity trends in a sector signal hot or cooling markets.

VCs use it for sourcing + investor mapping + sector funding velocity. See the full pipeline in [Apify for VC deal sourcing](/blog/apify-for-vc-deal-sourcing).

4. Research and market-intelligence uses

Beyond sales and VC:

  • Ecosystem mapping: all companies in a category → who is funded, who is not, where the gaps are.
  • Sector analysis: funding trends by vertical/geography over time.
  • Competitive landscape: funded competitors and their backers.
  • Partnership scouting: companies complementary to yours at the right stage.

Scrape a whole category: funded vs unfunded, backers, trajectories. An ecosystem map that used to cost a research subscription.

5. What the data looks like

Typical extracted fields:

  • Company: name, description, industry, categories, location, size, founded year, website.
  • Funding: round type, amount, date, lead investors, total raised, valuation where shown.
  • People: founders, execs, board — names and titles.
  • Enrichment targets: feed company domains to other actors for contacts, tech stack, LinkedIn.

Extract firmographics + funding history + people, then chain to enrichment actors for contacts and tech stack — a full account profile from one seed.

🤖

Apify

4.7Verified partner

Web scraping and automation platform — Free / $49/mo Starter

6. The compliance reality — important

Crunchbase defends its data:

  • ToS restriction: Crunchbase terms restrict scraping — this is more actively enforced than many sites.
  • Rate limiting + blocking: they deploy anti-bot measures — aggressive scraping gets blocked fast.
  • Public vs restricted: basic profile data is more public than detailed funding/financial records, some of which may be license-protected.
  • The honest line: use conservative rates, public data only, for research/intelligence — and recognize that heavy commercial use may warrant a real license.
  • See is web scraping legal for the framing.

Crunchbase actively restricts scraping — conservative rates, public data only, and know that heavy commercial use may need a license. This is the most ToS-sensitive source in this guide.

7. Alternatives to consider

Other funding-data paths:

  • Crunchbase paid tiers: if you need reliable heavy access, the subscription may be worth it.
  • Other sources: press releases, TechCrunch/funding-news scraping, company news pages — often announce rounds before databases.
  • The hybrid: scrape announcement sources (fresh + free) and use Crunchbase for historical firmographics.
  • Honest note: a funding-announcement scrape is fresher and less ToS-sensitive than hammering Crunchbase.

Funding-news scraping (TechCrunch, press releases) is fresher and less ToS-fraught than Crunchbase itself — combine announcement scraping with Crunchbase for firmographics.

8. The cost and setup

Making it work:

  • A weekly funding-monitor on your ICP runs within Apify Pro $49/mo.
  • Vs $99/seat Crunchbase: for a team, scraping can undercut multi-seat costs — but weigh the ToS considerations.
  • Setup: actor run → dataset → filter to ICP → weekly digest to your sales/CRM pipeline.

A weekly ICP funding monitor fits $49/mo vs $99/seat — but weigh ToS. For light research use, scraping wins on cost; for heavy reliance, consider the subscription.

🤖

Apify

4.7Verified partner

Web scraping and automation platform — Free / $49/mo Starter

Crunchbase scraping unlocks startup-funding intelligence for sales triggers, VC sourcing, and research — without the per-seat cost. The highest-value play is the just-raised outreach list; the highest caution is Crunchbase's active scraping restrictions.

For a fresh-data play, combine funding-announcement scraping (fresher, lower-risk) with Crunchbase firmographics. Apify free tier covers testing. Related: Apify for VC deal sourcing, Apify for sales teams, Apify lead generation.

Ready to get started?

Try the tools from this article risk-free. Free trials available.

FAQ

Can you scrape Crunchbase?

Yes — Apify actors extract company profiles, funding rounds, investors, and people. But Crunchbase actively restricts scraping — use conservative rates, public data only, and weigh the ToS risk.

What data can I scrape from Crunchbase?

Company firmographics (industry, size, location), funding rounds (amount, investors, dates), founders/execs, and acquisitions — the firmographic and funding-intelligence layer.

Is scraping Crunchbase legal?

Scraping public data for research is generally lawful, but Crunchbase ToS restrict scraping and enforce anti-bot measures more actively than most sites. Heavy commercial use may warrant a license. See [is web scraping legal](/blog/is-web-scraping-legal).

How do I use Crunchbase data for sales?

The funding-trigger play: scrape recent rounds in your ICP → weekly "just-raised" list → reach out while the round is fresh. A new round = budget + mandate = best outreach timing in B2B.

Apify vs a Crunchbase subscription?

A weekly ICP funding monitor costs ~$49/mo on Apify vs $99/seat for Crunchbase. For light research use scraping wins on cost; for heavy reliance on the data, the subscription is the safer choice.

What is a better source than Crunchbase for funding news?

Funding-announcement scraping — TechCrunch, press releases, company news — is fresher (rounds are announced before databases list them) and less ToS-sensitive. Combine announcements + Crunchbase firmographics.

Can I use Crunchbase data for VC deal sourcing?

Yes — scrape companies in your thesis, map investors and co-investors, and track sector funding velocity. See [Apify for VC deal sourcing](/blog/apify-for-vc-deal-sourcing).

Tools mentioned in this article

Affiliate links — we may earn a commission at no cost to you.

🤖

Apify

4.7Verified partner

Web scraping and automation platform — Free / $49/mo Starter

AM

Alex Mercer

AI Marketing Strategist · 8+ years

Alex has tested 200+ AI marketing tools on real campaigns with $50,000+ in ad spend. He writes hands-on reviews based on actual usage data, not press kits. His work has helped 10,000+ marketers build AI automation stacks that generate real ROI.

Keep reading