Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract product listings on Target's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews, and more.
Use the Apify Facebook Comment Scraper to collect comments from Facebook posts. Add the post URLs, set the number of comments you want, and optionally choose comment order and whether to include replies.
You’ll get: text, timestamps, like counts, commenter info, reply counts, urls, and nested replies.
View Apify details: https://apify.com/apify/facebook-comments-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
How Datastreamer works
Quickly connect Bright Data Target and Apify's Facebook Comment Scraper with a Datstreamer Pipeline.
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.
Add Datastreamer components to your data stack and explore its full capabilities
