Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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#/
Scan your Azure blob storage based on criteria for pipeline triggering.
How Datastreamer works
Quickly connect Apify's Facebook Comment Scraper and Azure Storage Scanner with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
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
