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#/
Apify community actors are 4,500+ ready-made tools for web scraping and browser automation, built and shared by developers on the Apify platform. These actors span thousands of websites, marketplaces, job boards, social media and news sources.
Perfect for Datastreamer pipelines, Apify actors make it easy to turn web content into structured data and stream it directly into your workflows. Run them on-demand or on a schedule using Jobs within your pipelines.
View Apify details: https://apify.com/store
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
How Datastreamer works
Quickly connect Apify's Facebook Comment Scraper and Apify Community Actors 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.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
