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Apply Datastreamer User Behaviour Classifier to Bright Data Yelp
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Bright Data Yelp
Extract data about business profiles, customer reviews, and ratings from yelp.com.
Quickly apply Datastreamer User Behaviour Classifier to Bright Data Yelp with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Yelp
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Datastreamer User Behaviour Classifier and Bright Data Yelp
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.