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Enrich Bright Data Amazon Products with Datastreamer User Behaviour Classifier

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Bright Data Amazon Products

Collect and extract Amazon product listings and pages content using keywords or domains. Returns matching product information that includes prices, image URLs, availability, descriptions, and more.

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 Amazon Products with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Amazon Products

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

Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.

Step 3

That's it! You have just connected  Bright Data Amazon Products and Datastreamer User Behaviour Classifier

Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.

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.

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