AI-Powered Web Scraping

News Scraper

Capture headlines, publish dates, and article links from any news site with 2 clicks — no code or setup needed.
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News data, captured faster

Pull clean news data from articles, listings, and sources without the manual grind.

Get the full article detail

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.

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Bulk scrape News url lists

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.

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Keep News data fresh

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.

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Why is Thunderbit different from traditional news scrapers?

A faster way to collect messy news data without constant breakage.

Traditional scrapers

The old way of doing things
News sites constantly change headlines, card layouts, and article blocks, so scrapers break often.
Pagination and infinite scroll are inconsistent across publishers, making full article collection unreliable.
Articles often have missing bylines, timestamps, or author pages, leaving datasets incomplete and messy.
Paywalls, login walls, and scattered related links make article discovery and extraction tedious.
Different sections like world, business, and opinion format pages differently, forcing endless rule updates.
The AI Advantage

Thunderbit AI

The smarter approach
Thunderbit reads page meaning, so layout changes do not require rebuilding fragile selectors.
It detects and follows pagination automatically, helping you capture more articles with less manual setup.
Subpage scraping visits each article page and appends details like author, date, and summary as columns.
Semantic AI adapts to inconsistent news formats and cleans fields during extraction for structured results.
You can export scraped news straight to Google Sheets, Notion, or Airtable in one click.

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Frequently asked questions

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