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Apply Datastreamer Product Name Detection to Open Measures Odnoklassniki

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

About Datastreamer Product Name Detection

AI-powered detection of product names.

About Open Measures Odnoklassniki

Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.

How Datastreamer works

Quickly apply Datastreamer Product Name Detection to Open Measures Odnoklassniki with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Odnoklassniki

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

Step 2

Add Datastreamer Product Name Detection 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  Datastreamer Product Name Detection and Open Measures Odnoklassniki

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!