Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
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.
How Datastreamer works
Quickly apply Cloud Run Functions to Webz News with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.
Add Datastreamer components to your data stack and explore its full capabilities
