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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.

How Datastreamer works

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.

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!