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Genre Analysis

Analyze SoundCloud tracks by genre. Identify popular genres and engagement patterns.

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SoundCloud Scraper | Track Data & Direct Stream Links
SoundCloud Scraper | Track Data & Direct Stream Linksahmed_jasarevic/soundcloud-scraper
User ID
Username
Full Name
Profile URL
+12 fields
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://soundcloud.com/discover/genre:electronic
Max Items:100

Output fields

User ID
Username
Full Name
Profile URL
Avatar
Description
City
Country
Followers
Following
Likes
Tracks
Playlists
Reposts
Verified
Last Modified

How it works

Sign up on Apify or log in

The SoundCloud Scraper | Track Data & Direct Stream Links Actor is ready to run with the inputs already set for "Genre Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Genre Analysis" task

The SoundCloud Scraper | Track Data & Direct Stream Links Actor will start running based on the input automatically. You can also change all the input fields, like start urls and max items, to match your specific use case.

Receive the "Genre 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 user id, username, full name, 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 "Genre Analysis" task via API.

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Integrate "Genre Analysis" into your workflow

Connect "Genre Analysis" with 100+ integrations, or run it via API or MCP.

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