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Apply Datastreamer Category Classifier to Bright Data Web Scraping
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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 apply Datastreamer Category Classifier to Bright Data Web Scraping with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Web Scraping
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Category Classifier with an Operation
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Datastreamer Category Classifier and Bright Data Web Scraping
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.