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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.

How Datastreamer works

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.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!