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 LinkedIn company profiles and people profiles using URLs. Returns matching company that include the location, industry, number of employee; and people profile that include the location of the user, current company, experiences, number of connections and more.
How Datastreamer works
Quickly connect Apify Amazon Scraper and Bright Data LinkedIn with a Datstreamer Pipeline.
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.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
