



















































































Pull clean news data from articles, listings, and sources without the manual grind.
News listing pages only give you a teaser. Thunderbit visits each article subpage and pulls back the full picture, including headline, article summary, author, publication date, news source, and section. That means you can move from a simple list of stories to a complete dataset in fewer steps.

Scraping news one page at a time gets slow fast. With Thunderbit, you can feed it a list of article URLs and bulk-scrape hundreds of pages in one go, so each story is captured with the fields you need. It’s a practical way to collect large news datasets without repeating the same work.

News changes daily, and stale data is useless. Set up scheduled scraping so Thunderbit runs on autopilot and keeps your spreadsheet updated with fresh headlines, summaries, authors, publication dates, news sources, and sections. You get recurring updates without having to remember the task yourself.

A faster way to collect messy news data without constant breakage.
Join 100,000+ professionals already using Thunderbit to automate their web scraping workflows.
Free trial provides unlimited credits for 8 webpages.