Facebook Comment Sentiment Analysis Dataset Builder

Created by

Unseen User

Actor

Facebook Comment Scraper - Posts & Reels [NO COOKIES] ✅

Build a sentiment-ready Facebook comments dataset: text plus the full per-reaction signal (love, anger, sad, haha) for every comment. Drop into NLP models.

Try for free

Facebook Comment Scraper - Posts & Reels [NO COOKIES] ✅unseenuser/fb-comments

Comment

Author

Avatar

Reactions

+6 fields

Input

Post URLs, reel URLs, or feedback IDs(required):https://www.facebook.com/reel/753347914167361

Max comments per post (0 = all available):1000

Output fields

Comment

Author

Avatar

Reactions

Replies

Created at

Type

Post URL

Parent comment ID

Comment ID

How it works

Sign up on Apify or log in

The Facebook Comment Scraper - Posts & Reels [NO COOKIES] ✅ Actor is ready to run with the inputs already set for "Facebook Comment Sentiment Analysis Dataset Builder". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Facebook Comment Sentiment Analysis Dataset Builder" task

The Facebook Comment Scraper - Posts & Reels [NO COOKIES] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like post urls, reel urls, or feedback ids and max comments per post (0 = all available), to match your specific use case.

Receive the "Facebook Comment Sentiment Analysis Dataset Builder" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as comment, author, avatar, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Facebook Comment Sentiment Analysis Dataset Builder" task via API.