Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Bright Data Walmart with Datastreamer Dialect Detection Model with a Datstreamer Pipeline.
Quickly connect Bright Data Walmart and Datastreamer Dialect Detection Model with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any 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.
Collect and extract product listings on Warlmart's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews and more.
Detect dialects of language used within content for over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Add Datastreamer components to your data stack and explore its full capabilities
