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Apply Datastreamer User Behaviour Classifier to Bright Data Glassdoor Job Listings

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Datastreamer User Behaviour Classifier

Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.

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.

How Datastreamer works

Quickly apply Datastreamer User Behaviour Classifier to Bright Data Glassdoor Job Listings with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Glassdoor Job Listings

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

Add Datastreamer User Behaviour Classifier with an Operation

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Datastreamer User Behaviour Classifier and Bright Data Glassdoor Job Listings

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

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