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Apply Datastreamer Entity Recognition to Bright Data Google Search
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Entity Recognition
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
About Bright Data Google Search
Extract data about search results, images, news articles, maps, and more from google.com.
Quickly apply Datastreamer Entity Recognition to Bright Data Google Search with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Google Search
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Step 2
Add Datastreamer Entity Recognition with an Operation
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Bright Data Google Search
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.