Kinzen is a technology company that helps readers engage with the publishers who inform, inspire and empower them. They build tools for individuals and publishers to access and present personalized and trusted news. Providing structured news data for personalized feeds, backed by artificial intelligence and algorithms, that will be based on a user's preferences and what experts are interested in.
Using multiple APIs that focus on user signals, Kinzen powers newsletters on behalf of publishers that provide impressive personalization between publisher and reader. Giving readers the content they want and helping publishers better connect with their subscribers.
In this case study, learn how Kinzen partnered with Scrapinghub to become a crucial part of the building and maintaining of their news data pipeline using Scrapinghub’s AutoExtract API. Scrapinghub’s recently launched AutoExtract API provides customers with AI-enabled, automated web data extraction at scale. Using machine learning, AutoExtract can extract millions of news articles at a scale in a fraction of time it would take a developer to do manually.