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Apply Datastreamer User Sentiment Classifier to Bright Data Trustpilot
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Bright Data Trustpilot
Collect and extract Trustpilot business reviews using URLs. Returns matching business reviews that include the review title, rating, author, position of the author, and more.
Quickly apply Datastreamer User Sentiment Classifier to Bright Data Trustpilot with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Trustpilot
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 with an Operation
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Datastreamer User Sentiment Classifier and Bright Data Trustpilot
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.