Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Webz News with Datastreamer Category Classifier with a Datstreamer Pipeline.
Quickly connect Webz News and Datastreamer Category Classifier with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Cover a vast collection of relevant news sources in over 170 languages, with more than 2.5 million news articles added daily and archives dating back to 2008 , Webz News dataset delivers near real-time results for comprehensive insights., and empowers you to analyze trends , track narratives, and uncover meaningful insights from global news coverage.
Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.
Add Datastreamer components to your data stack and explore its full capabilities
