Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Perform Gemini (LLM) model to translate any field from a given document to a specified target language. To check the list of language coverage and their ISO 3166-1 code format, please check the full documentation.
How Datastreamer works
Quickly enrich Bright Data YouTube with Gemini Translate with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
