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Enrich Bright Data LinkedIn with Datastreamer User Behaviour Classifier
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 Datastreamer User Behaviour Classifier
Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Quickly enrich Bright Data LinkedIn with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data LinkedIn
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer User Behaviour Classifier 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 Datastreamer User Behaviour Classifier
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.