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Enrich Bright Data Facebook with Datastreamer Entity Recognition
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Facebook
Extract data about profiles, posts, groups, events, marketplace, and more from facebook.com.
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.
Quickly enrich Bright Data Facebook with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Facebook
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.
Step 2
Add Datastreamer Entity Recognition to enrich
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Bright Data Facebook and Datastreamer Entity Recognition
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.