Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Collect and extract posts, comments and user profiles on Parler.
How Datastreamer works
Quickly connect Bright Data Indeed Job Listings and Open Measures Parler with a Datstreamer Pipeline.
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
