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Enrich Bright Data Google Shopping Products with Datastreamer User Sentiment Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Google Shopping Products
Collect and extract Google Shopping products using keywords. Returns matching product information that includes the product URL, title, description, rating, review counts, seller, pricing, and more.
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 Bright Data Google Shopping Products with Datastreamer User Sentiment Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Google Shopping Products
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer User Sentiment Classifier to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Bright Data Google Shopping Products and Datastreamer User Sentiment Classifier
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.