Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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#/
Collect and extract product listings on Warlmart's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews and more.
How Datastreamer works
Quickly connect Apify Amazon Scraper and Bright Data Walmart with a Datstreamer Pipeline.
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.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
