A news aggregator is a platform that collects news articles from multiple sources and presents them in a unified, personalized feed for users.
The core idea is to save users the hassle of visiting dozens of individual news websites by bringing all relevant content to one place. The system must continuously crawl or receive content from publishers, deduplicate similar stories, rank them by relevance, and serve personalized feeds to millions of users.
Popular Examples: Google News, Flipboard, Apple News, Feedly, Reddit (for link aggregation)
In this chapter, we will explore the high-level design of a news aggregator.
This problem combines multiple challenging aspects: content ingestion, real-time updates, personalization, and handling high read traffic.
Lets start by clarifying the requirements: