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.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly connect Bright Data Indeed Job Listings and Bright Data Wikipedia with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.
Add Datastreamer components to your data stack and explore its full capabilities
