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Apply Gemini Translate to Bright Data Wikipedia
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About Gemini Translate
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.
About Bright Data Wikipedia
Extract data about articles, categories, and contributors from en.wikipedia.org.
Quickly apply Gemini Translate to Bright Data Wikipedia with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Wikipedia
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Gemini Translate with an Operation
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Gemini Translate and Bright Data Wikipedia
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.