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News listing pages only give you a teaser. Thunderbit visits each article's full page and pulls back everything that matters — headline, summary, author, publication date, news source, and section. Go from a bare list of links to a complete, structured dataset without the tedious manual work.

Scraping one article at a time is not a workflow — it's a chore. Paste in a list of article URLs and Thunderbit bulk-scrapes hundreds of pages in one run, capturing every field you need across each story. Collecting large news datasets has never been this straightforward.

News moves fast, and yesterday's data loses its value quickly. Schedule your scrape and Thunderbit runs on autopilot — keeping your spreadsheet stocked with fresh headlines, summaries, authors, publication dates, sources, and sections on whatever cadence you set. Recurring updates, zero manual effort.

A faster way to collect messy news data without constant breakage.
Join 200,000+ professionals already using Thunderbit to automate their web scraping workflows.
Free trial provides unlimited credits for 8 webpages.