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Enrich Bright Data YouTube with Datastreamer Category Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data YouTube
Collect and extract YouTube video and profile search results using keywords, and YouTube comments using URLs. Further refine the video and profile searches by start date and end date using additional parameters.
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.
Quickly enrich Bright Data YouTube with Datastreamer Category Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data YouTube
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 Category Classifier to enrich
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Bright Data YouTube and Datastreamer Category Classifier
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.