Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
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.
How Datastreamer works
Quickly apply Datastreamer AI Brand Recognition Classifier to Bright Data Walmart with a Datstreamer Pipeline.
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.
Add Datastreamer components to your data stack and explore its full capabilities
