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 Indeed Job Listings with Bright Data Github Code

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

About Bright Data Indeed Job Listings

Collect and extract Indeed job listings using URLs. Returns matching jobs listing that contain hiring company, date of job posting, job position, job description, job benefits, job location and more.

About Bright Data Github Code

Collect and extract code repositories on Github.

How Datastreamer works

Quickly connect Bright Data Indeed Job Listings and Bright Data Github Code with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Indeed Job Listings

Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.

Step 2

Add Bright Data Github Code with Unify or another transformer to combine schemas

Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.

Step 3

That's it! You have just connected  Bright Data Indeed Job Listings and Bright Data Github Code

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

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!