Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Apply OpenAI prompts to your data within your pipelines, and add the responses to the metadata.
How Datastreamer works
Quickly enrich Bright Data Target with ChatGPT Summarization with a Datstreamer Pipeline.
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
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
