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Enrich Bright Data Amazon Products with Datastreamer Sentiment Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Bright Data Amazon Products with Datastreamer Sentiment Classifier with a Datstreamer Pipeline.
Quickly connect Bright Data Amazon Products and Datastreamer Sentiment Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Amazon Products
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Sentiment Classifier to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Bright Data Amazon Products and Datastreamer Sentiment Classifier
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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 Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
Experience Seamless Data Integration Yourself
Add Datastreamer components to your data stack and explore its full capabilities