News Feed Data Generator

Fake news article feeds for app mockups

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Article data for news and content apps

The News Feed Data Generator produces fake article feeds — headlines, sources, categories, summaries, timestamps and image placeholders. It is built for prototyping news aggregators and content platforms so feed cards, category filters and detail pages have realistic data before any real content pipeline exists.

How it works

You set an article count and optionally lock the feed to a single category. For each article the generator assembles a headline by combining a descriptor, a topic noun and an outcome phrase from curated pools, picks a source and a one-sentence summary, and assigns a category (the one you chose, or a random one in mixed mode). It then slugifies the headline to build a stable placeholder article URL and a seeded image URL, places a published timestamp within the last fourteen days of a fixed base, and estimates a read time of one to eight minutes.

A seeded pseudo-random source keeps a configuration stable between renders, with Regenerate advancing the seed. The output is one object with an articles array; each article uses the conventional fields a news card renders, so it maps onto aggregator and content-platform components without transformation. The image URLs resolve against a public placeholder service, so the demo shows real thumbnails rather than broken images.

Tips and example

  • Lock the category to one topic to build and test a section page such as a Technology or Sports vertical.
  • Raise the article count to exercise infinite scroll, lazy image loading and pagination on a feed.
  • Because each imageUrl is seeded from the headline slug, an article keeps the same thumbnail across regenerations of the same seed, which keeps screenshots consistent.
  • Sort by publishedAt to get a believable newest-first ordering straight from the sample data.
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