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Create a genre search corpus from SoundCloud

Search public track results for a genre or mood and collect a compact corpus for research, curation, or review.

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SoundCloud Scraper — Music Data & Artist Emails
SoundCloud Scraper — Music Data & Artist Emailskhadinakbar/soundcloud-scraper
Entity Type
Title
Artist Name
SoundCloud URL
+13 fields
Text
Number
Boolean
List
Object

Input

Scraping Mode:searchTracks
Search Queries:ambient electronic+1
Maximum Results:20
Extract Public Contact Emails:false

Output fields

Entity Type
Title
Artist Name
SoundCloud URL
Public Contact Emails
Genre
Duration (ms)
Plays
Likes
Reposts
Followers
Track Count
Verified
ISRC
Release Date
Data Source
Scraped At

How it works

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The SoundCloud Scraper — Music Data & Artist Emails Actor is ready to run with the inputs already set for "Create a genre search corpus from SoundCloud". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Create a genre search corpus from SoundCloud" task

The SoundCloud Scraper — Music Data & Artist Emails Actor will start running based on the input automatically. You can also change all the input fields, like scraping mode, search queries, and more, to match your specific use case.

Receive the "Create a genre search corpus from SoundCloud" 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 entity type, title, artist 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 "Create a genre search corpus from SoundCloud" task via API.

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