Thunderbit's scraper models allow you to extract data from websites like Amazon, Zillow, and more. Use Thunderbit to scrape any website or web app.
Find and export TikTok comments by username or video with One Click Extract—capture comment text, usernames, likes, replies, and timestamps as structured data, with no code or selector setup.
Build a useful Amazon product table from details scattered across the page: identifiers, specifications, images, sellers, variants, ratings, and availability. There is no need to map each layout first.
Keep handle, display name, bio, public link, badge, and shown follower, following, and like totals in a creator roster. Use selected profile URLs so each row stays tied to the account you reviewed.
Collect visible Amazon product names, ASINs, prices, sellers, availability, ratings, reviews, images, and more with One Click Extract. Thunderbit recommends the fields, follows linked pages when needed, and exports the results without code.
Capture the profile grid you can open—links, captions, views, and optional per-post details. One Click Extract suggests useful video data and builds the catalog in a single run.
Collect Reddit post titles, author usernames, and vote counts with a couple clicks—Thunderbit's AI does the heavy lifting.
Turn the Apollo people and company results you see into a clear table. Collect names, roles, contact details, company facts, and profile links without copying each record by hand.
Collect public Craigslist listing details such as titles, descriptions, posted prices, locations, dates, and image links. Fields vary by section, region, and what each poster chooses to show.
Collect headlines, author names, dates, summaries, body text, links, and media from public article pages. Keep each article's details together in one clear row, even when news sites use different layouts.
The Thunderbit Yellow Pages Scraper lets you extract structured data from Yellow Pages business listings and search results. Use AI-powered field suggestions to quickly gather business names, addresses, phone numbers, and more for lead generation, research, or marketing. Ideal for building contact databases and analyzing local businesses.
Collect headlines from topic, section, or search pages, then open article links for visible bylines, publication dates, summaries, sections, and source URLs. Tell Thunderbit which article details matter in plain English before the run.
The Thunderbit Statarea Scraper lets you extract football match predictions, team details, comparisons, and TV schedules from Statarea. Use AI-powered field suggestions to quickly gather structured data for sports analysis, betting, or content creation. Ideal for analysts, fans, and content creators seeking organized football data.