Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Extract data about posts, profiles, likes, and more from X(Twitter).
Detect and classify event being described by the author. 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 X(Twitter) with Datastreamer Event Detection Classifier with a Datstreamer Pipeline.
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.
Add Datastreamer components to your data stack and explore its full capabilities
