Facebook Comments Scraper for Sentiment Analysis
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.
Input
Output fields
Sign up on Apify or log in
The Facebook Comments Scraper Actor is ready to run with the inputs already set for "Facebook Comments Scraper for Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Facebook Comments Scraper for Sentiment Analysis" task
The Facebook Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like comments per post, include replies, and more, to match your specific use case.
Receive the "Facebook Comments Scraper for 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 post, post author, post text, 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 Comments Scraper for Sentiment Analysis" task via API.
Integrate "Facebook Comments Scraper for Sentiment Analysis" into your workflow
Connect "Facebook Comments Scraper for Sentiment Analysis" with 100+ integrations, or run it via API or MCP.
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