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Enrich Bright Data Pinterest with Datastreamer Product Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Pinterest
Collect and search for Pinterest posts using any of the three methods, by keyword, URL or profiles. This data source supports businesses in understanding audience interests, tracking brand mentions, and identifying key influencers and emerging trends, all essential for informed decision-making and effective marketing strategies.
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.
Quickly enrich Bright Data Pinterest with Datastreamer Product Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Pinterest
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 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 Pinterest and Datastreamer Product Detection 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.