AI-Powered Web Scraping

Crunchbase scraper

Extract company profiles, funding rounds, investor details, valuations, and more from Crunchbase in 2 clicks — no code required. Thunderbit's AI reads any Crunchbase page and pulls out company name, industry and category, funding rounds and amounts, lead investors, estimated valuation, employee count, founders and executives, headquarters address, website, and social media links. Export everything clean and structured to Google Sheets, Excel, or Notion instantly.

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What you can pull from Crunchbase — automatically

Just open a Crunchbase profile and let Thunderbit do the reading. No selectors, no scripts, no setup.

From Crunchbase page to clean data in 2 clicks

Visit any Crunchbase company profile or investor page, click 'Suggest Fields,' and Thunderbit instantly identifies the key fields: company name, industry, funding rounds and amounts, investor names, valuation, headcount, HQ location, and more. One more click and your structured dataset is ready — in seconds, not hours.

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AI that keeps up when Crunchbase changes its layout

Crunchbase regularly restructures its pages. Thunderbit's semantic AI understands what each piece of information means — not just where it sits in the HTML — so it reliably extracts funding history, investor lists, founder profiles, and social links even after a redesign. No broken selectors, no maintenance overhead.

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Send your data straight to the tools you already use

Once scraped, your Crunchbase data — company names, funding amounts, investor rosters, employee counts, website URLs — flows directly to Google Sheets, Excel, or Notion with a single click. Clean columns, no copy-pasting, no reformatting. Go from raw Crunchbase pages to a living spreadsheet in minutes.

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Why Thunderbit beats traditional Crunchbase scrapers

CSS selectors break. Code rots. Thunderbit adapts.

Traditional scrapers

The old way of doing things
Selector-based scrapers break every time Crunchbase tweaks its HTML structure or class names
Require writing and maintaining custom code just to target funding tables and investor carousels
Miss nested data like individual funding rounds, round-specific lead investors, and valuation history
No native export — raw output is messy JSON or CSV that needs manual cleanup before it's usable
Struggle with Crunchbase's JavaScript-rendered sections and login-gated content
The AI Advantage

Thunderbit

The smarter approach
AI understands Crunchbase pages semantically — no selectors or code needed, ever
Auto-suggests the right fields: company name, industry, funding rounds, investors, valuation, headcount, social links
Runs inside your browser so it handles dynamic content and JS-rendered sections natively
One-click export to Google Sheets, Excel, or Notion — data arrives clean and column-ready
Stays accurate across Crunchbase layout changes without any reconfiguration on your end

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Frequently asked questions

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