Analyze Viral Facebook Post Comments for Market Sentiment
Created by
Crawler Bros
Scrape all comments from high-engagement Facebook posts to understand public sentiment and identify emerging trends related to specific products or topics. This
Facebook Comments Scrapercrawlerbros/facebook-comments-scraper
Author
Comment
Date
Likes
+3 fieldsTextNumberBooleanListObject
Input
Start URLs(required)
url:https://www.facebook.com/Apify/posts/pfbid0qL6RzN2x1p2x9M8W7y3X8z0F7R1y7D6Q5x6G7H8J9K0L1M2N3O4P5Q6R7S8T9U0V1W2X3Y4Z5A6B7C8D9E0F1+1
Max items per URL:500
Comments mode:MOST_RELEVANT
Include nested comments:true
Max concurrency:2
Min concurrency:1
Max request retries:3
Proxy Configuration
Output fields
Author
Comment
Date
Likes
Replies
Depth
URL
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.
