Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Amazon reviews content using keywords or domains.
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 Amazon Reviews with Datastreamer AI Brand Recognition Classifier with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.
Add Datastreamer components to your data stack and explore its full capabilities
