3 items
Point-and-click web scraper. Extract tables, lists, prices & contacts from any site and export to CSV, Excel or JSON. Turn any web page into clean, structured data - no code, no account, no learning curve. DataHarvester is a visual web scraper. Just open a page, click a sample item (a product card, a table row, a search result), and DataHarvester automatically finds every matching item on the page. Click the pieces of data you want - title, price, link, rating, email - and watch a live preview build. Then export to CSV, Excel (.xlsx) or JSON in one click. POINT & CLICK: no CSS or coding knowledge required. DataHarvester detects repeating rows for you and builds the selectors automatically. EXPORT ANYWHERE: download your data as CSV, Excel (.xlsx) or JSON. Unlimited rows. MULTIPLE PAGES: turn on pagination to collect data across many pages automatically. SAVE TEMPLATES: save a scraper once and reuse it on the same site any time. SCHEDULE IT: run a saved template automatically (hourly, daily or weekly) and have the data downloaded for you. 100% LOCAL & PRIVATE: everything runs in your own browser. DataHarvester never sends your data, your browsing, or anything else to our servers. There is nothing to sign up for. Perfect for researchers, data analysts, lead-generation, market research and e-commerce teams who need data out of a web page and into a spreadsheet fast. Note: You are responsible for ensuring your use complies with the terms of service of the sites you scrape. DataHarvester only acts on pages you direct it to.
Jun 1, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.