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Enrich Bright Data Yelp with Datastreamer User Behaviour Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Yelp
Extract data about business profiles, customer reviews, and ratings from yelp.com.
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 Yelp with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Yelp
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
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 Yelp 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.