Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Application of customer ChatGPT prompts to pipeline data.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly apply ChatGPT Prompts to Bright Data Wikipedia 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.
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
