Saasquare vs Thunderbit

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Thunderbit is a Chrome extension web scraper that turns live pages into spreadsheets in about two clicks. You name the columns in plain language, and it figures out what to pull from listings, directories, profiles, and product pages. It is built for sales and ops teams who need structured leads and market data without writing selectors or scripts.

Where selector-based scrapers break when a site redesigns, Thunderbit reads pages semantically so field detection adapts instead of failing. It also ships one-click templates for heavy hitters like Amazon, Zillow, and Google Maps, so you are not burning credits to reinvent extraction on sites it already knows. The trade-off is credit math: subpage runs and enrichment eat quotas faster than single-page row counts suggest.

Sales teams use Thunderbit for lead lists, buying-signal tracking, and contact enrichment from directories and social pages. Real estate agents aggregate Zillow and Realtor.com listings, while ops and marketing teams monitor competitor prices, stock levels, and review sentiment on a schedule.

Exports go straight to Google Sheets, Airtable, or Notion, and you can summarize, categorize, or translate columns during extraction. Thunderbit also scrapes PDFs and images, not just HTML pages.