Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Detect the company names within content, correlate it to its market-listed entities. It returns both the company name, stock tickers, and the related market in over 200+ languages. 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.
How Datastreamer works
Quickly apply Datastreamer Stock Ticker Conversion to Bright Data Reddit with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.
Add Datastreamer components to your data stack and explore its full capabilities
