Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Condensed affordable new datasets.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly connect Webz News Lite and Bright Data Wikipedia with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
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.
Add Datastreamer components to your data stack and explore its full capabilities
