We’re always happy with any other questions you might have. Send us an email at [email protected]
Enrich Bright Data Pinterest with Datastreamer Dominant Location 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 Dominant Location Classifier
A specialized text classifier that operates on long-form content. It is meant to identify only one location out of all the pre-extracted mentioned locations in the long-form content and reports it as the dominant_location based on their frequency in the input document.
Quickly enrich Bright Data Pinterest with Datastreamer Dominant Location 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 Dominant Location Classifier to enrich
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Bright Data Pinterest and Datastreamer Dominant Location Classifier
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.