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]

Enrich Bright Data Wikipedia with Google Translate

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

About Bright Data Wikipedia

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

About Google Translate

Perform Google Translate on any field from a given document. To check the list of language coverage and their ISO 3166-1 code format, please check the full documentation.

How Datastreamer works

Quickly enrich Bright Data Wikipedia with Google Translate with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.

Step 2

Add Google Translate to enrich

Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.

Step 3

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

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

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!