Sentiment Analysis of Facebook Post Comments
Created by
Coder
Extract and analyze sentiments from comments on Facebook posts. Gain insights with structured data on reactions and nested replies.
Facebook Comments Scrapercalm_builder/facebook-comments-scraper
Post url
Post id
Author name
Created at
+4 fieldsTextNumberBooleanListObject
Input
Facebook post links(required):https://www.facebook.com/NASA/posts/pfbid0DWQhrsRQW4ZPWYhT3BRfsPaw3ctV5Bh8UVWDxtwQbujZrriV665Mykc6YNi7uWUrl?rdid=ZxZCulyyhlbqlVj1#
Comments count to fetch(required):40
Add replies(required):true
Reply depth(required):2
Replies count each level(required):3
Comments sorting(required):newest
Output fields
Post url
Post id
Author name
Created at
Text
Comment count
Reaction count
Share count
Sign up on Apify01
Create your Apify account to access the Facebook Comments Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
