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Add Datastreamer components to your data stack and explore its full capabilities

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We’re always happy with any other questions you might have. Send us an email at [email protected]

Apply Google Language Detection to Bright Data Wikipedia

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Google Language Detection

Detect the language used in any field from given inputs with Google language detection service.

About Bright Data Wikipedia

Extract data about articles, categories, and contributors from en.wikipedia.org.

How Datastreamer works

Quickly apply Google Language Detection to Bright Data Wikipedia with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

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.

Step 2

Add Google Language Detection with an Operation

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Google Language Detection and Bright Data Wikipedia

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!