AI-Powered Web Scraping

Capterra scraper

Extract software names, ratings, and pricing models from Capterra in 2 clicks—then export directly to Excel, Google Sheets, or Notion. No coding needed.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Effortlessly extract Capterra data with Thunderbit

Adapts to Capterra layout changes

Tired of scrapers breaking every time Capterra updates its design? Thunderbit understands page structure, not fixed CSS selectors. When Capterra moves a field or redesigns a listing, Thunderbit adapts automatically—so you keep pulling software names, ratings, and descriptions without touching your setup.

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One tool for every data source

Stop managing a different scraper for every website you care about. Thunderbit works on Capterra out of the box, and comes with 50+ pre-built templates for other popular platforms—review sites, directories, marketplaces, and more. One tool covers them all.

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Get the full Capterra picture

Don't stop at listing-page data. Thunderbit can automatically visit each software's detail page on Capterra and pull in-depth descriptions, starting prices, key features, and more—appended as new columns in your spreadsheet or database of choice.

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Struggling to scrape Capterra effectively?

See how Thunderbit simplifies Capterra data extraction, even with complex layouts.

Traditional scrapers

The old way of doing things
Layout changes break your selectors instantly
Pagination needs complex custom configuration
Inconsistent data formats require manual cleanup
Subpage scraping is slow and brittle
Logo images are inaccessible to CSS-based scrapers
The AI Advantage

Thunderbit

The smarter approach
Semantic AI adapts automatically to layout changes
Built-in pagination scrapes every page without config
Auto data cleaning delivers structured, ready-to-use data
AI follows subpage links and appends data as new columns
Works on websites, PDFs, and images alike

Don't just take our word for it

See what our users have to say about Thunderbit.

Frequently asked questions

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