STEP 01
List the sources
Paste the homepages or section pages you want to watch. The robot follows the article links off each one, so you do not list every story by hand.
A news scraper turns news sites into structured rows: headline, article text, author, publish date, section, and source URL. WebRobot does it with an AI agent. Give it the publications you care about, name the fields you want, and it follows every article link, reads the story, and delivers a clean, deduplicated feed to a spreadsheet, database, or your API on a schedule.
No CSS selectors to maintain, no per-site parser to babysit. The robot stores the intent, not a brittle path, so it keeps working after a publisher redesigns its site.
Last updated July 2026
Robot console · WR-01
Standing by Running · s Complete · rows
1 · Pick a target
3 · Fields to extract
Agent log
Crawl graph
Extracted data · rows
Want this data fresh every morning, without lifting a finger?
| Field | What it is | Who uses it |
|---|---|---|
| Headline and subhead | The title and standfirst on the article | Keyword and mention scanning, and quick relevance triage |
| Article text | The full body of the story | Sentiment, entity extraction, and summarization by a language model |
| Author and byline | The reporter or wire service credited | Building a media list and mapping which reporters cover your beat |
| Publish and update date | When the story ran and when it was edited | Trending coverage over time and ordering a timeline of events |
| Section and tags | The desk or topic the article sits under | Filtering to the beat that matters and routing alerts |
| Source and URL | The publication and the canonical link | Attribution, deduplication, and linking back to the original |
| Outbound links | Companies, people, and sites referenced | Relationship mapping and following a story across outlets |
The same engine reads any structured page, so a news pull can flow into the same stack as your other sources. For the category overview, start at the web scraping tool pillar, or read the walkthrough in how to scrape news articles.
| RSS feed | News API | Scraping the sites | |
|---|---|---|---|
| Coverage | Only sites that publish a feed | A fixed set of licensed sources | Any site you can open in a browser |
| Depth | Title and snippet, rarely full text | Depends on the plan | Every field you name, including full text |
| Fields | Fixed by the feed | Fixed by the vendor | You choose them in plain English |
| Schedule | The publisher's cadence | The vendor's cadence | Yours, down to hourly |
| Cost model | Free where offered | Per-call or tiered licensing | Flat monthly plan, no per-article fee |
| Best for | A few big outlets with clean feeds | Broad, licensed archives | Niche sources, custom fields, your cadence |
Most monitoring stacks combine them: RSS for the big outlets that offer it, a scraper for the trade journals, regulator pages, and regional sites that publish neither a feed nor an API. On what you may keep and republish, see is web scraping legal.
STEP 01
Paste the homepages or section pages you want to watch. The robot follows the article links off each one, so you do not list every story by hand.
STEP 02
"Headline, article text, author, publish date, section, source URL." The robot opens each story and reads them. No selectors, no per-site parser.
STEP 03
Keep only articles matching your keywords or date range, and dedupe on the canonical URL so a story syndicated to three sites does not land three times.
STEP 04
Google Sheets, a database, Slack, Zapier, or the REST API. Schedule hourly and each run flags new matching articles so alerts reach you fast.
Watch dozens of outlets for your brand, executives, and competitors. Every mention lands in one feed with the author and date, so the morning clipping report writes itself and nothing gets missed between the big wires and the trade press.
Track funding rounds, launches, hires, and layoffs across an industry as they are reported. Pair it with price monitoring and you see both what competitors say and what they charge.
Regulators and agencies post updates on plain pages with no feed. The robot reads them on a schedule and flags a new rule or enforcement action the day it appears, so compliance teams are not the last to know.
Analysts pull company and sector news into a model to catch a catalyst early. A clean feed of dated, sourced articles is the raw material an investment research workflow turns into a call on a name.
Assemble a labeled corpus of articles on a topic for analysis or model training, with the date, source, and section preserved. The structure means the dataset is usable the moment the pull finishes, not after a cleanup pass.
Gather the day's stories on a beat into one place, ranked by source and recency, so an editor picks from a shortlist instead of trawling a dozen homepages. Store links and short extracts, not full reposts.
Pricing is flat: plans on pricing start at $79 per month with no per-article fee, so widening your source list does not multiply the bill. For a broader extraction job, see the data extraction tool.
FINAL ASSEMBLY
List the sites, name the fields, and get a fresh, deduplicated news feed on the schedule you set.