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Add Datastreamer components to your data stack and explore its full capabilities

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We’re always happy with any other questions you might have. Send us an email at [email protected]

Apply Google GeminiAI Prompts to Bright Data Wikipedia

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Google GeminiAI Prompts

Application of custom GeminiAI prompts to pipeline elements.

About Bright Data Wikipedia

Extract data about articles, categories, and contributors from en.wikipedia.org.

How Datastreamer works

Quickly apply Google GeminiAI Prompts to Bright Data Wikipedia with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.

Step 2

Add Google GeminiAI Prompts with an Operation

Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.

Step 3

That's it! You have just connected  Google GeminiAI Prompts and Bright Data Wikipedia

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!