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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.

 

How Datastreamer works

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.

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!