What is Thunderbit?
Thunderbit is an AI web scraper that pulls structured data from any website in two clicks, no coding required. It works as a Chrome extension (also for Edge) and runs directly in the browser, so users can grab leads, product data, contact details, and more without leaving the page they’re on.
The tool is built for sales, operations, and e-commerce teams who need clean data fast. An AI reads each page and suggests what fields to extract, so users don’t have to configure selectors or write scripts. The AI web scraper handles everything from paginated listings to login-gated platforms.
Thunderbit Video
Features & Benefits
- AI Field Detection: let AI scan the current page and suggest data columns to extract, skipping all manual setup.
- No-Code Scraping: extract data by specifying column names and types in plain language, no selectors or scripts needed.
- Login-Gated Site Access: scrape websites that require sign-in, letting the AI web scraper reach data that most tools can’t touch.
- Multi-Page & Pagination Scraping: navigate across paginated results or a list of direct URLs, collecting data across every page in one run.
- Subpage Scraping: follow links from a listing page into individual detail pages to pull deeper data in a single pass.
- Screenshot & File Scraping: upload screenshots or PDFs to extract data from content that can’t be reached through standard page scraping.
- Article & Long-Form Text Extraction: capture full article bodies, transcripts, and other long text content from any site.
- Data Type Extraction: pull text, URLs, images, email addresses, phone numbers, and dates from any page.
- AI Formatting & Calculation: reformat scraped data during extraction, including splitting names, standardizing phone and date formats, and running calculations, so output is ready to use on export.
- AI Summarization, Categorization & Translation: add summaries, category tags, or translated text as output columns while the AI web scraper runs.
- Pre-Built Site Templates: run 1-click extractions on popular platforms like Amazon, eBay, Zillow, and Google Maps without any setup.
- Data Export: send scraped data directly to spreadsheet and database tools including Google Sheets, Airtable, Notion, and Excel, with images and URLs preserved in the output table.
What can Thunderbit do?
- Scrape leads and contact details from any website
- Extract emails and phone numbers at scale
- Pull product names, prices, and ratings from e-commerce sites
- Monitor competitor pricing across retail pages
- Track inventory availability on supplier sites
- Aggregate real estate listings into a spreadsheet
- Detect buying signals like hiring activity and funding announcements
- Enrich contact lists with data pulled from web profiles
- Scrape customer reviews and sentiment data
- Extract SEO metadata from competitor pages
- Capture article and transcript text in bulk
- Scrape data from login-required platforms
- Translate and categorize scraped content during extraction
Real-World Applications
Sales teams at B2B companies can use an AI web scraper to build lead lists directly from directories, job boards, and similar platforms. The tool extracts names, titles, emails, and company details in one pass. It can also monitor target accounts for hiring activity or new funding, flagging the moment a prospect may be in buying mode.
E-commerce managers may find Thunderbit useful for tracking competitor pricing and stock levels across retail sites. A merchandising team could set up recurring scrapes of competitor product pages to catch price changes or stockouts before they affect margin decisions. The pre-built templates for Amazon and eBay make this type of monitoring fast to start.
Real estate professionals can use the AI web scraper to pull property listings from Zillow, Redfin, and similar platforms into a single, always-current sheet. An agent or investor tracking dozens of markets could collect addresses, prices, bed/bath counts, and days on market without touching a spreadsheet manually.
Marketing and research teams can use Thunderbit to monitor what competitors publish, track social post engagement, and scrape review platforms for customer sentiment. A content strategist might pull headlines and publish dates from competitor blogs each week to spot emerging topics worth covering. The AI’s built-in summarization and categorization lets teams tag and organize scraped content on the fly.
Operations professionals who need clean data for reporting can rely on Thunderbit to extract and reformat web content in a single step. A procurement analyst could scrape supplier catalogs and have the AI standardize product names, prices, and unit formats before the data ever reaches a spreadsheet.
