Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Amazon reviews content using keywords or domains.
Detect dialects of language used within content for 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.
How Datastreamer works
Quickly enrich Bright Data Amazon Reviews with Datastreamer Dialect Detection Model with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
