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Enrich Bright Data LinkedIn with Social Voice On-Screen Text Detection Model
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 On-Screen Text Detection Model
Detection of text on-screen in a video scene or image.
Quickly enrich Bright Data LinkedIn with Social Voice On-Screen Text Detection Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data LinkedIn
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 Social Voice On-Screen Text Detection Model to enrich
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Bright Data LinkedIn and Social Voice On-Screen Text Detection Model
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.