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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.

How Datastreamer works

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.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!