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Apply Datastreamer Entity Recognition to Bright Data Glassdoor Job Listings
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 Glassdoor Job Listings
URL-based collection of Glassdoor jobs listing. Returns matching jobs listing that contain hiring company, company rating, job position, job location, job description, hiring company’s reported revenue, percentage of employees recommending the company to a friend and more.
Quickly apply Datastreamer Entity Recognition to Bright Data Glassdoor Job Listings with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Glassdoor Job Listings
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Datastreamer Entity Recognition with an Operation
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Bright Data Glassdoor Job Listings
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.