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]

Join Bright Data Wikipedia with Bright Data Booking.com

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

About Bright Data Wikipedia

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

About Bright Data Booking.com

Extract data about accommodation listings, prices, availability, reviews, and more from booking.com.

How Datastreamer works

Quickly connect Bright Data Wikipedia and Bright Data Booking.com with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Wikipedia

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.

Step 2

Add Bright Data Booking.com with Unify or another transformer to combine schemas

Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.

Step 3

That's it! You have just connected  Bright Data Wikipedia and Bright Data Booking.com

Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.

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!