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Thunderbit reads visible headlines, bylines, dates, summaries, and article text by meaning. The workflow depends less on fixed page positions when a news site changes its layout.

Set a repeat run for a public news, blog, or section page you revisit. Thunderbit can collect the latest visible articles and send new rows to your chosen file or app.

Use the same workflow on any public site with articles. Name the fields you need, then let Thunderbit place each page in the same columns.

Fixed selectors follow positions. Thunderbit AI looks for the article fields you named.
Choose from 30 visible content, author, publisher, date, link, topic, media, and page metadata fields.
In these user videos, editors and researchers gather article text, bylines, dates, and source links for review.
News sites use different layouts and page details, so the fields you get depend on the article page you capture.
Join 200,000+ professionals already using Thunderbit to automate their web scraping workflows.
Free trial provides unlimited credits for 8 webpages.