Thunderbit is an AI web scraper that turns any webpage into a spreadsheet without code. Installed from the Chrome Web Store, it reads a page, proposes fields and extracts the data in one click, and AI can summarize, categorize or translate values as they are collected. Pre-built templates for popular sites such as Amazon, eBay and Google Maps return the same fields every time without spending AI credits. A free plan is available, and results export to Google Sheets, Airtable and Notion.
It is built for non-technical teams, with more than 200,000 users. Sales reps scrape names, emails and phone numbers from websites, PDFs and images to build lead lists. Real estate agents pull listings, prices and open house times from Zillow and Realtor.com. Operations staff watch stock and prices across suppliers and retailers, and marketers track competitor content, SEO tags, reviews and newsletters. Because setup needs no selectors or scripts, founders, analysts and virtual assistants can collect data themselves instead of waiting for an engineer.
Common workflows include lead generation from directories and marketplaces, data enrichment of existing contact lists, and tracking hiring or funding signals that show a prospect is ready to buy. Retail teams monitor competitor SKUs, specs, prices and promotions, while customer insight teams gather reviews and let AI surface recurring themes. Researchers scrape long articles and transcripts, and market analysts build tables from Amazon, Etsy, eBay, Slack channels or news pages. Data can be reformatted or calculated during extraction, then sent straight to a spreadsheet, a database like Airtable or a Notion workspace on a schedule or on demand.
