The FanFeedr API is a flexible content platform that allows developers to customize news, photos, video, scores, tweets, and other information for athletes, teams, leagues, and events.
Our platform provides aggregated sports news and data for 55,000 athletes and 4,000 teams from over 8,000 sources.
Our API can be queried by entity, content type, keyword, time period, 'hotness', and geolocation to create engaging user experiences and applications.
While basic API access is free, paid services are also available for developers who require higher rate limits, access to the original URL's of news items, or email and phone support.
Our API directory now includes 91 sports APIs. The newest is the Fanatix API. The most popular, in terms of mashups, is the FanFeedr Sports News API. We list 13 FanFeedr Sports News mashups. Below you'll find some more stats from the directory, including the entire list of sports APIs.
A long time ago in Internet years, in a galaxy not so far away, a handful of tech titans in Silicon Valley and Seattle began building business platforms and battling for supremacy. The mobile device and app revolution hadn't yet begun. Terms like "social networking" and "wisdom of crowds" were going “viral". Web services and APIs were still emerging. The Google IPO of late 2004 had effectively slammed shut the Web 1.0 dotbomb era, paving the way for the amazing evolution of Web 2.0 services in 2005 that hit the mainstream in 2006.
To support the demand for better API documentation, Mashery, a provider of API management and strategy services, launched a new set of API documentation tools. The new feature is a combination of API documentation and an API explorer, allowing developers to make requests on an API inline while browsing the API reference materials.
Analytics API for worldwide football (soccer). Objectively evaluates the performance of thousands of teams based on quantitative models. Compiles widely known metrics such as Expected Goals (xG) and...
Textsla English news sentiment API offers predictions of news sentiment from a given URL. It offers sentiment for news articles at a reduced cost than Google Colab, IBM Watson Studio, AWS Sagemaker,...