Experience Seamless Data Integration Yourself

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

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Questions?

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

Join Bright Data Wikipedia with Open Measures Telegram

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 Open Measures Telegram

A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.

How Datastreamer works

Quickly connect Bright Data Wikipedia and Open Measures Telegram with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.

Step 2

Add Open Measures Telegram with Unify or another transformer to combine schemas

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 Open Measures Telegram

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!