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.
Collect and extract Google Shopping products using keywords. Returns matching product information that includes the product URL, title, description, rating, review counts, seller, pricing, and more.
How Datastreamer works
Quickly connect Bright Data Wikipedia and Bright Data Google Shopping Products with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.
Add Datastreamer components to your data stack and explore its full capabilities
