Thunderbit
AI-powered no-code web scraper that extracts data from any website using plain-text instructions - no CSS selectors or coding required.
Thunderbit is an AI web scraping platform that lets non-technical users extract structured data from any website by describing what they want in plain English - no knowledge of XPath, CSS selectors, or programming required. Users open a webpage, type a description like "get all product names, prices, and ratings from this category page", and Thunderbit uses AI to identify the correct elements and extract the data into a structured table. The platform supports sub-page scraping for following links, scheduled recurring scrapes, and direct export to Google Sheets, Airtable, and Notion. Backed by Y Combinator (W22), Thunderbit targets operations, marketing, and research teams who need structured web data for competitive intelligence, lead generation, and market research but cannot wait for engineering resources. Paid plans start around $19 per month.
Key Features
- Natural language scraping - describe what to extract in plain English without touching selectors or code
- AI element detection - identifies the correct HTML elements even on dynamic JavaScript-rendered pages
- Sub-page crawler - follows links from a list page and scrapes data from each detail page automatically
- Scheduled scraping - runs extractions on a recurring schedule and updates the output table automatically
- Direct export to Google Sheets, Airtable, Notion, and CSV without additional tools
- Chrome extension for triggering scrapes directly from the browser without leaving the target page
Use Cases
- Marketing teams pulling competitor pricing, product listings, and review data for regular monitoring
- Sales teams building lead lists from directories, LinkedIn, and industry association pages
- Operations teams collecting structured data from supplier or regulatory websites for internal reporting
- Researchers aggregating data from multiple web sources for market analysis without writing scraping scripts
Pros
- Plain-English input makes web scraping accessible to non-technical team members who previously needed engineering help
- AI element detection handles JavaScript-rendered pages that break traditional CSS-selector scrapers
- Scheduled scraping turns a one-time extraction task into a recurring automated data feed
Cons
- Some websites implement anti-bot protections that block Thunderbit even when a human could access the data
- Complex multi-step scraping workflows with login authentication require higher-tier plans
- AI extraction can miss elements or hallucinate fields on highly unusual or heavily styled page layouts
Thunderbit Alternatives
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