SoundCloud comment monitoring workflow
Created by
Stas Persiianenko
Scrape recent comments across multiple SoundCloud tracks for recurring social listening, release monitoring, and fan research.
SoundCloud Comments Scraperautomation-lab/soundcloud-comments-scraper
Track
Artist
Comment
Commenter
+10 fieldsTextNumberBooleanListObject
Input
🎵 Track URLs(required)
url:https://soundcloud.com/odesza/a-moment-apart+1
Maximum comments per track:1000
Comment order:newest
Include replies:true
🛡️ Use Apify Proxy:true
Output fields
Track
Artist
Comment
Commenter
Created
Position
Likes
Replies
Reply
Track URL
Profile
Comment ID
Track ID
Scraped
Sign up on Apify01
Create your Apify account to access the SoundCloud 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.
