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Apply Social Voice Brand Safety Model (GARM) to Bright Data YouTube

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

About Social Voice Brand Safety Model (GARM)

Analyzes different risks to brand safety according to GARM categorizations.

About Bright Data YouTube

Collect and extract YouTube video and profile search results using keywords, and YouTube comments using URLs. Further refine the video and profile searches by start date and end date using additional parameters.

How Datastreamer works

Quickly apply Social Voice Brand Safety Model (GARM) to Bright Data YouTube with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data YouTube

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Add Social Voice Brand Safety Model (GARM) with an Operation

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  Social Voice Brand Safety Model (GARM) and Bright Data YouTube

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!