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Enrich Bright Data X(Twitter) with Datastreamer User Behaviour Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data X(Twitter)
Extract data about posts, profiles, likes, and more from X(Twitter).
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 X(Twitter) with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data X(Twitter)
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
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Bright Data X(Twitter) and Datastreamer User Behaviour Classifier
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.