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Apply Social Voice On-Screen Text Detection Model to Bright Data LinkedIn
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Social Voice On-Screen Text Detection Model
Detection of text on-screen in a video scene or image.
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 On-Screen Text Detection Model to Bright Data LinkedIn with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data LinkedIn
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Social Voice On-Screen Text Detection Model with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Social Voice On-Screen Text Detection Model and Bright Data LinkedIn
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.