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Enrich Open Measures Odnoklassniki with Datastreamer Product Sentiment Detection
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Quickly enrich Open Measures Odnoklassniki with Datastreamer Product Sentiment Detection with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer Product Sentiment Detection to enrich
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 Open Measures Odnoklassniki and Datastreamer Product Sentiment Detection
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.