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

Enrich Webz News Lite with Datastreamer Category Classifier

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

About Webz News Lite

Condensed affordable new datasets.

About Datastreamer Category Classifier

Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.

How Datastreamer works

Quickly enrich Webz News Lite with Datastreamer Category Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Webz News Lite

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

Add Datastreamer Category Classifier to enrich

Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.

Step 3

That's it! You have just connected  Webz News Lite and Datastreamer Category Classifier

Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.

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!