Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Cover hundreds of thousands of blog articles in multiple languages going back to 2008, Webz Blogs dataset allows you to feed your machines with fresh blog data, powered unparalleled latency and adaptive crawling.
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 Webz Blogs and Apify's Facebook Comment Scraper with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
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
