Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Shein product listings. Returns matching product listings that include product description, starting price, current price, colour available, number of reviews/rating, main image and more.
Detect and identify brand mentions within text. It processes content from sources like social media, articles, and customer feedback, providing insights into brand visibility. Supporting multiple languages, this classifier is adaptable for global applications and can operate in both real-time and batch-processing environments, making it valuable for tracking brand presence at scale.
How Datastreamer works
Quickly enrich Bright Data Shein Products with Datastreamer AI Brand Recognition Classifier with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
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
