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 AirBnB with Apify Amazon Scraper

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

About Bright Data AirBnB

Extract data about property listings, host profiles, reviews, pricing, availability, and more from airbnb.com.

About Apify Amazon Scraper

Get data via Apify's Amazon Scraper. Fill in the URLs of products, searches, or categories you want to gather information about.

For Amazon URLs, you can extract: product titles, details, brands, ASIN numbers, review counts, image URLs, descriptions, price, and currency.

View Apify details: https://apify.com/junglee/free-amazon-product-scraper

Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/

How Datastreamer works

Quickly connect Bright Data AirBnB and Apify Amazon Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data AirBnB

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Add Apify Amazon Scraper with Unify or another transformer to combine schemas

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 AirBnB and Apify Amazon Scraper

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.

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!