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Apply Datastreamer User Behaviour Classifier to Bright Data Walmart
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 Walmart
Collect and extract product listings on Warlmart's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews and more.
Quickly apply Datastreamer User Behaviour Classifier to Bright Data Walmart with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Walmart
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
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 Datastreamer User Behaviour Classifier and Bright Data Walmart
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.