In today’s digital world, news sources are abundant throughout the world, available at the fingertips of readers and even readers have become publishers themselves. The way people consume news is changing with users seeking alternatives to noise, privacy issues, and social media. There is a demand for information that fits their interests and for trusted journalism. According to the Digital News Report 2019, 41% of readers have checked accuracy by comparing multiple sources and 24% have said they stopped using news sources with poor reputations altogether.
With more and more people having access to the news through smart devices and hunger for personalized news content, there is a problem in categorizing the colossal amount of news data on a daily basis.
This is where Kinzen comes in. 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.
“Feel like we struck gold with Scrapinghub...Scrapinghub has provided us with over 10 million articles for our technology to process. The data is there, constant and reliable. Collaboration with Scrapinghub has been easy and support was always there throughout our journey.”
- Ru Hickson, Data Engineer at Kinzen
Scrapinghub has continued to partner with Kinzer in helping them to achieve their mission of giving back control of the daily media experience to readers and helping improve productivity. Using Scrapinghub AutoExtract’s advanced AI technology to solve Kinzen’s challenges, has given Kinzen Data Engineers the chance to develop groundbreaking technological products and tools of their own to help both publishers of content and readers connect.
Kinzen is a technology company that helps citizens engage with the publishers who inform, inspire and empower them. They build tools for individuals and publishers to access personalized news and information. They believe in generating engagement, trust, and loyalty using only explicit intent signals from users and respecting their data and privacy.
Learn more about Kinzen and their mission to give back control of a daily media experience to readers below:
Scaling and speed of extracting accurate data from constantly growing and evolving news websites in a consistent uniform format.
An external provider with expertise in data extraction - Scrapinghb’s AutoExtract API. Providing data extraction on a grand scale, accessibility to the data, quality of the data, and at a speed that Kinzen needed.