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 Nimble scraping with Bright Data Glassdoor Job Listings

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

About Nimble scraping

AI-powered data scraping from Nimble.

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 connect Nimble scraping and Bright Data Glassdoor Job Listings with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Nimble scraping

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 Bright Data Glassdoor Job Listings with Unify or another transformer to combine schemas

Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.

Step 3

That's it! You have just connected  Nimble scraping and Bright Data Glassdoor Job Listings

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!