Case Study: Kinzen achieves faster, scalable news data extraction with Zyte

Providing structured news data for personalized feeds with AI

Kinzen, a technology company that builds personalized and trusted news experiences for readers and publishers, needed to gather millions of news articles from thousands of changing web sources every day. Its challenge was speed, scale, and maintaining high-quality, reliable data for its APIs and news pipelines, so it partnered with Zyte and used Zyte API with Extraction.

Zyte’s Automatic Extraction gave Kinzen an automated, scalable way to collect and maintain structured news data while allowing the team to focus on product development. The result was millions of extracted articles, 10x cleaner data daily, and a 90% reduction in refresh time, helping Kinzen update publisher content to within 1 minute of publication.

Kinzen

Ru Hickson

Data Engineer