Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Application of customer ChatGPT prompts to pipeline data.
Collect and extract product listings on Target's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews, and more.
How Datastreamer works
Quickly apply ChatGPT Prompts to Bright Data Target 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.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Add Datastreamer components to your data stack and explore its full capabilities
