Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
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 Cloud Run Functions to Bright Data Glassdoor Job Listings with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
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.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
