Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Intent Classifier to Bright Data YouTube with a Datstreamer Pipeline.
Quickly connect Datastreamer Intent Classifier and Bright Data YouTube 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.
A text-based classifier that analyzes media posts about future actions. It will detect whether the post intends to perform some action, such as purchasing or selling. This component can be used alongside other classifiers for smarter filtering.
Collect and extract YouTube video and profile search results using keywords, and YouTube comments using URLs. Further refine the video and profile searches by start date and end date using additional parameters.
Add Datastreamer components to your data stack and explore its full capabilities
