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Apply Datastreamer Entity Recognition to Bright Data Facebook
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Entity Recognition
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
About Bright Data Facebook
Extract data about profiles, posts, groups, events, marketplace, and more from facebook.com.
Quickly apply Datastreamer Entity Recognition to Bright Data Facebook with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Facebook
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.
Step 2
Add Datastreamer Entity Recognition with an Operation
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 Datastreamer Entity Recognition and Bright Data Facebook
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.