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Enrich Bright Data LinkedIn with Datastreamer Sentiment 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 Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
Quickly enrich Bright Data LinkedIn with Datastreamer Sentiment 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 Sentiment Classifier to enrich
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Bright Data LinkedIn and Datastreamer Sentiment Classifier
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.