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 Pinterest with Bright Data Glassdoor Company Overviews

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

About Bright Data Pinterest

Collect and search for Pinterest posts using any of the three methods, by keyword, URL or profiles. This data source supports businesses in understanding audience interests, tracking brand mentions, and identifying key influencers and emerging trends, all essential for informed decision-making and effective marketing strategies.

About Bright Data Glassdoor Company Overviews

Collect and extract Glassdoor company business overviews using URLs. Returns matching business overviews that include the company about, salaries information, reviews, and more.

How Datastreamer works

Quickly connect Bright Data Pinterest and Bright Data Glassdoor Company Overviews with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Pinterest

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 Glassdoor Company Overviews with Unify or another transformer to combine schemas

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Bright Data Pinterest and Bright Data Glassdoor Company Overviews

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

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!