Topic and keyword feeds
A continuous stream of articles matching your keywords, companies or people from a list of outlets, deduplicated across syndication, delivered to your storage or by webhook shortly after each article is published.
Industries
What we scrape in news and media
Articles, press releases, broadcast transcripts and public social posts from the outlets you name, with full text, author, date and section.
News scraping is less about any one site and more about keeping hundreds of them running at once. Outlets change templates often, paywalls vary by region and the same wire story appears under fifty headlines. We maintain parsers per outlet, pull articles soon after publication through RSS, sitemaps and direct crawls, extract clean body text and metadata and group duplicates. You receive a continuous feed of articles, or a one-off archive for a date range and topic.
Sources
Typical sources
Public pages and documents we have scraped in this vertical. Named sites are examples, not an exhaustive list.
- National and regional newspapers and broadcasters
- Trade and industry publications
- Wire services and corporate press release pages
- Government and regulator newsrooms
- Blogs and newsletters with public archives
- Podcast show pages and published transcripts
- Public posts on forums such as Reddit
- YouTube video metadata and public comments
Schema
Fields
A common starting schema. You decide the final columns and names; we keep them stable across runs.
article_idoutlettitleauthorpublished_atsectionurllanguageword_countbody_textscraped_at
Output
What a row looks like
article_id | outlet | title | author | published_at | section | url | language | word_count | body_text | scraped_at |
|---|---|---|---|---|---|---|---|---|---|---|
| NW-20261007-00042 | Example Times | Example headline about a market change | J. Example | 2026-10-07T06:40:00Z | Business | https://example.com/story/42 | en | 812 | (full article text) | 2026-10-07 |
Values are illustrative placeholders to show shape and types, not records from any client or source.
Use cases
Jobs we are usually asked for
Outlet archives for research
Every article from a set of outlets for a date range, with clean text and metadata, for model training, linguistic research or coverage studies. Delivered as Parquet or JSON Lines partitioned by publication date.
Press release and newsroom tracking
Scrape company and regulator newsrooms directly so announcements are captured the moment they go live, before they are rewritten by the press, with the original wording and publication time kept.
Questions
About news & media monitoring scraping
Do you scrape paywalled articles?
We collect what is publicly available: headlines, metadata and the text that appears without a subscription. Full paywalled text is only collected where you hold a licence that permits it.
How fresh is the feed?
Outlets with RSS or sitemaps are polled every few minutes; others are crawled on a schedule that matches how often they publish. The delay from publication to delivery is usually minutes, not hours.
Can you handle multiple languages?
Yes. Text extraction is language-agnostic and we tag each article with its detected language. Translation can be added as a step if you need one working language.
What about social media?
Public posts on open sites such as Reddit, YouTube comments and public forums are in scope. Closed networks and anything requiring a login are not.
Need news & media monitoring data? Tell us the sites.
Send the sources and the fields you need. An engineer looks at them the same day and replies with a plan and a price.