A media house with strong editorial focus needed a news feed API fast enough to deliver articles within seconds of publication, categorized and ready to power its own portal.
Client Overview
A media house built on strong editorial output wanted to serve a broad, general interest audience, readers following everything from politics to sports to celebrity news. Keeping that audience engaged meant publishing constantly, and the media house wanted a news feed API that could pull in relevant articles from across the web fast enough to feed its own portal without falling behind competitors covering the same stories.
Speed mattered more than almost anything else. The media house needed data collected within seconds of an article being published on any of its target sources, not minutes later once the story had already spread elsewhere. Building a crawler powerful enough to do that in-house would have meant a real shift in focus away from editorial work, which is what brought the media house to PromptCloud instead.
Client Requirements
The media house’s brief to PromptCloud was built entirely around speed and structure:
- Coverage across a defined list of target sources spanning multiple news categories
- Data collected within seconds of an article being published
- Every article indexed with a category marker, politics, sports, celebrities, and more
- Delivery through an API layer only, not a raw file export
- Zero manpower or processing effort required on the media house’s own side
Challenges
News moves fast, and a news feed API that arrives even a few minutes late loses much of its value to a media house competing to publish first. Getting collection down to seconds rather than minutes meant the underlying pipeline had to be built for genuine low latency from the start, not adapted from a slower, more general purpose crawler.
Category structure added its own requirement. Politics, sports, and celebrity news all needed to be tagged accurately as they came in, since the media house’s own portal depended on that structure to route content correctly. Without reliable categorization, speed alone would not have been enough, fast but miscategorized data creates as much editorial work as slow data would have.
Solutions
PromptCloud built this around a dedicated low-latency component, with keywords and target sources supplied by the media house feeding directly into the pipeline from day one.
A Low-Latency Pipeline Built for Seconds, Not Minutes
Keywords and the media house’s list of target sources were fed into PromptCloud’s low-latency component, built specifically to detect and extract new articles within seconds of publication. That speed is what let the resulting news feed API actually compete with how fast news spreads on its own, rather than trailing behind by the time a story had already been picked up elsewhere. The same underlying discipline connects to PromptCloud’s broader work in strategic insights and analytics, where timing matters as much as the data itself.
Category Markup Built Into the Pipeline
As articles were extracted, each one was indexed along with a markup indicating which category it belonged to, politics, sports, celebrities, and the other topics the media house’s audience followed. Building that classification into the pipeline itself, rather than leaving it for the media house to sort out after delivery, meant the feed arrived already structured for how the media house’s own portal actually organized content.
Access Through One API Layer
Only the data API layer was exposed to the media house, who downloaded new articles every time they appeared on it and used that content to build out their own portal. Keeping the interface this simple meant the media house never had to interact with the crawling infrastructure behind it, just the finished, categorized feed arriving in near real time.
Zero Manpower, Complete Coverage
Complete data coverage across the full target source list gave the media house a single point of lookout rather than several disconnected feeds to check separately. Automatic delivery arrived every time a new article was published, and none of it required manpower or processing on the media house’s side, freeing its editorial team to focus entirely on using the content rather than collecting it.
News Collection Pipeline, Before and After PromptCloud
| Area | Before | After |
| Latency | Would lag behind fast-moving stories | Articles captured within seconds of publication |
| Categorization | Would need manual sorting after delivery | Category markup applied during extraction |
| Access | No existing pipeline | Single API layer, no raw files to manage |
| Team involvement | Would require dedicated crawling expertise | Zero manpower required client-side |
Benefits to the Client
The media house got complete data coverage from a single point of lookout, rather than juggling multiple disconnected sources to keep its portal current. Automatic feeds arrived every time a relevant article was published, categorized and ready to route into the right section of the media house’s own site.
None of this required processing effort or manpower on the media house’s side, the editorial team stayed focused on building content rather than collecting or sorting it. Because articles arrived within seconds of publication, the media house’s portal could compete on timeliness with the original sources themselves, turning what could have been a slow aggregation process into something close to real time.
A News Feed API That Actually Keeps Up With the News
A media house competing on speed cannot run on a news feed API that arrives minutes after a story breaks. Getting to seconds, not minutes, and arriving already categorized, is what actually makes a feed like this usable for a newsroom rather than something that needs its own layer of manual cleanup.
That is what turned a defined list of target sources into a single, categorized stream the media house could build its own portal on, without adding manpower or slowing editorial down to manage it.
