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#/
Retrieve comments from videos by calling Apify's TikTok Comments Scraper. To set up this Actor, you will need to add TikTok video URLs to extract the comments from, the desired number of comments, and optionally, the maximum number of replies per comment.
For each TikTok video, you will extract:
How Datastreamer works
Quickly connect Apify Amazon Scraper and Apify TikTok Comments Scraper with a Datstreamer Pipeline.
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.
Add Datastreamer components to your data stack and explore its full capabilities
