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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.
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.