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Enrich Bright Data LinkedIn with Social Voice Brand Safety Model (GARM)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Social Voice Brand Safety Model (GARM)
Analyzes different risks to brand safety according to GARM categorizations.
Quickly enrich Bright Data LinkedIn with Social Voice Brand Safety Model (GARM) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data LinkedIn
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Social Voice Brand Safety Model (GARM) to enrich
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Bright Data LinkedIn and Social Voice Brand Safety Model (GARM)
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.