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

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 LinkedIn

Collect and extract LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.

How Datastreamer works

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

Step 1

Start your Pipeline with Bright Data LinkedIn

To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.

Step 2

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

Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.

Step 3

That's it! You have just connected  Social Voice Brand Safety Model (GARM) and Bright Data LinkedIn

With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.

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!