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Join Bright Data Target with Bright Data Wikipedia
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Target
Collect and extract product listings on Target's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews, and more.
About Bright Data Wikipedia
Extract data about articles, categories, and contributors from en.wikipedia.org.
Quickly connect Bright Data Target and Bright Data Wikipedia with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Target
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Bright Data Wikipedia with Unify or another transformer to combine schemas
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Bright Data Target and Bright Data Wikipedia
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.