Facebook comment sentiment analysis
Alfalfa
Collect the comments under a product announcement or campaign post for sentiment analysis, no limit: comment text, author name, date, reaction count and reply count, one row per comment, ready for an Excel formula, a sentiment model or an LLM prompt. Paste the post URL, set how many comments you want, run, and download Excel, CSV or JSON. No Facebook login needed. $0.30 per 1,000 comments.
Input
Output fields
Sign up on Apify or log in
The Facebook Comments Scraper · No Login · $0.2/1k Actor is ready to run with the inputs already set for "Facebook comment sentiment analysis". 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" task
The Facebook Comments Scraper · No Login · $0.2/1k Actor will start running based on the input automatically. You can also change all the input fields, like facebook post urls, max comments per post, and more, to match your specific use case.
Receive the "Facebook comment sentiment analysis" 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 author, posted (utc), comment, 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" task via API.
