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 Amazon Reviews with Bright Data Wikipedia

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

About Bright Data Amazon Reviews

Collect and extract Amazon reviews content using keywords or domains.

About Bright Data Wikipedia

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

How Datastreamer works

Quickly connect Bright Data Amazon Reviews and Bright Data Wikipedia with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Amazon Reviews

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 Wikipedia with Unify or another transformer to combine schemas

Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.

Step 3

That's it! You have just connected  Bright Data Amazon Reviews and Bright Data Wikipedia

With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.

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!