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]

Enrich Open Measures Telegram with Datastreamer HTML Document Pruner

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

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.

About Datastreamer HTML Document Pruner

Can remove HTML content from a specified field and write clean content to a new field.

How Datastreamer works

Quickly enrich Open Measures Telegram with Datastreamer HTML Document Pruner with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Telegram

Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.

Step 2

Add Datastreamer HTML Document Pruner to enrich

Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.

Step 3

That's it! You have just connected  Open Measures Telegram and Datastreamer HTML Document Pruner

Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.

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!