Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract posts, comments and user profiles on Parler.
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 Open Measures Parler with Datastreamer AI Brand Recognition Classifier with a Datstreamer Pipeline.
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
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
