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]

Join Bright Data Glassdoor Job Listings with Bright Data Trustpilot

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

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.

About Bright Data Trustpilot

Collect and extract Trustpilot business reviews using URLs. Returns matching business reviews that include the review title, rating, author, position of the author, and more.

How Datastreamer works

Quickly connect Bright Data Glassdoor Job Listings and Bright Data Trustpilot with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Glassdoor Job Listings

Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.

Step 2

Add Bright Data Trustpilot with Unify or another transformer to combine schemas

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 Glassdoor Job Listings and Bright Data Trustpilot

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.

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.

Let us know if you're an existing customer or a new user, so we can help you get started!