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

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

Apply Datastreamer ESG Classifier to Data365 Facebook data

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Datastreamer ESG Classifier

A text-based classifier that analyzes given content (preferably a long text content) and categorizes them according to Environmental, Social or Governance related events.

About Data365 Facebook data

Collect and extract Facebook posts and profiles using hashtags and keywords. Data365 offers advanced capabilities for collecting Facebook data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.

How Datastreamer works

Quickly apply Datastreamer ESG Classifier to Data365 Facebook data with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Data365 Facebook data

In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.

Step 2

Add Datastreamer ESG Classifier with an Operation

Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.

Step 3

That's it! You have just connected  Datastreamer ESG Classifier and Data365 Facebook data

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!