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Enrich Bright Data Walmart with Datastreamer Sentiment Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Datastreamer Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
Quickly enrich Bright Data Walmart with Datastreamer Sentiment Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Walmart
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Sentiment Classifier to enrich
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Bright Data Walmart and Datastreamer Sentiment Classifier
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.