Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Extract data about articles, categories, and contributors from en.wikipedia.org.
Cover thousands of review in multiple languages from all over the globe, Webz Reviews dataset lets your machine listen to evert reviewer, everywhere.
How Datastreamer works
Quickly connect Bright Data Wikipedia and Webz Reviews with a Datstreamer Pipeline.
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
