Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and search for Pinterest posts using any of the three methods, by keyword, URL or profiles. This data source supports businesses in understanding audience interests, tracking brand mentions, and identifying key influencers and emerging trends, all essential for informed decision-making and effective marketing strategies.
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.
How Datastreamer works
Quickly enrich Bright Data Pinterest with Datastreamer Slang Translation with a Datstreamer Pipeline.
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available 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.
Add Datastreamer components to your data stack and explore its full capabilities
