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Apply alphaMountain URL Category Classifier to Webz News

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

About alphaMountain URL Category Classifier

Get the content classification for up to 89 categories including Malware, Suspicious, Phishing and more for any URL. alphaMountain purpose-built classification model is language-agnostic and can classify any domain or IP address into at least one of 89 content categories in real-time.

About Webz News

Cover a vast collection of relevant news sources in over 170 languages, with more than 2.5 million news articles added daily and archives dating back to 2008 , Webz News dataset delivers near real-time results for comprehensive insights., and empowers you to analyze trends , track narratives, and uncover meaningful insights from global news coverage.

How Datastreamer works

Quickly apply alphaMountain URL Category Classifier to Webz News with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Webz News

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 alphaMountain URL Category Classifier with an Operation

To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.

Step 3

That's it! You have just connected  alphaMountain URL Category Classifier and Webz News

With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.

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!