Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Slang Translation to Bright Data Reddit with a Datstreamer Pipeline.
Quickly connect Datastreamer Slang Translation and Bright Data Reddit 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.
Drug terms, street slang, gaming slang, and other forms of slang can be translated into plain English with this LLM-powered model. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Collect and search for Reddit posts and post comments using URLs, keywords or subreddit.
Add Datastreamer components to your data stack and explore its full capabilities
