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Apply Datastreamer Product Detection Classifier to Twingly News
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Product Detection Classifier
Detect products within content across 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 Twingly News
Twingly delivers over 3 million news articles per day from 170,000 active news sources through their News API
Quickly apply Datastreamer Product Detection Classifier to Twingly News with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly News
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Datastreamer Product Detection Classifier with an Operation
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.
Step 3
That's it! You have just connected Datastreamer Product Detection Classifier and Twingly News
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.