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Facebook Comments Scraper for Sentiment Analysis
Created by
Coder
Export comments and two levels of replies from a public Facebook post, here from NASA, as clean structured data with comment text, author name, reaction count, and timestamp. The output is ready to load into a sentiment analysis model, spreadsheet, or BI tool. Paste your own post URLs to measure how audiences feel about a brand, product, or announcement.
Facebook Comments Scrapercalm_builder/facebook-comments-scraper
Post
Post author
Post text
Published
+6 fieldsTextNumberBooleanListObject
Input
Comments per post:40
Include replies:true
Reply depth:2
Replies per level:3
Comment order:newest
Output fields
Post
Post author
Post text
Published
Reactions
Comments on Facebook
Shares
Comments collected
Replies collected
Comments and replies
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.
