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Enrich Bright Data LinkedIn with Gemini Translate
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Bright Data LinkedIn with Gemini Translate with a Datstreamer Pipeline.
Quickly connect Bright Data LinkedIn and Gemini Translate with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data LinkedIn
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.
Step 2
Add Gemini Translate to enrich
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.
Step 3
That's it! You have just connected Bright Data LinkedIn and Gemini Translate
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.
Collect and extract LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.
About Gemini Translate
Description
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.
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