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Enrich Vetric eCommerce Product Listings with Datastreamer Ingredient Detection 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 Ingredient Detection Classifier
Detect and classify ingredients used in products, including the fabrics, minerals and materials, 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 Ingredient Detection 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 Ingredient Detection 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 Vetric eCommerce Product Listings and Datastreamer Ingredient Detection Classifier
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.