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Enrich Vetric eCommerce Product Listings with Datastreamer User Sentiment Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Vetric eCommerce Product Listings
Collect and extract eCommerce platform's product information using URLs or ASIN. Return matching product info that include the product's title, media, seller, brand, rating, category, labels, descriptions, variants, price, stock status, reviews and shipping options.
About Datastreamer User Sentiment Classifier
Detect the user sentiment and cause of sentiment within content. It is able to process content in over 200+ languages. 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 Vetric eCommerce Product Listings with Datastreamer User Sentiment Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric eCommerce Product Listings
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer User Sentiment 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 Vetric eCommerce Product Listings and Datastreamer User Sentiment 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.