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SoundCloud Scraper | Tracks Artists and Playlists

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SoundCloud Scraper | Tracks Artists and Playlists

SoundCloud Scraper | Tracks Artists and Playlists

Scrape SoundCloud tracks, artists, playlists, comments, plays, likes, and reposts with titles, descriptions, genres, durations, and stream URLs. Power music discovery apps, creator analytics, audio trend research, and music industry intelligence at scale across the platform.

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from $19.00 / 1,000 results

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ParseForge

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🎵 SoundCloud Track Scraper

🚀 Export SoundCloud tracks with play counts, likes, artist data, and metadata in seconds. No account required - works right out of the box.

The SoundCloud Track Scraper lets you search SoundCloud and extract structured data for any tracks matching your query. All data is scraped in real time from SoundCloud's public API - no stale cache, no login required.

Each record includes the track's title, artist, play count, likes, comments, reposts, duration, genre, tags, description, artist follower count, artwork URL, and creation date. Data is delivered in JSON, CSV, Excel, or XML via the Apify dataset.

SoundCloud hosts over 300 million tracks across every genre imaginable - from lo-fi beats to underground house, ambient, hip-hop, jazz, and more. This scraper surfaces that catalogue in a structured, machine-readable format you can pipe into analytics tools, dashboards, or your own applications.

Target Audience and Use Cases

WhoWhat they use it for
Music researchersTrack play trends, genre analytics, artist growth
Playlist curatorsDiscover trending tracks by genre or keyword
MarketersIdentify rising artists for brand partnerships
Data scientistsBuild music recommendation training datasets
JournalistsVerify streaming stats and viral audio claims
DevelopersPower music discovery apps and bots

📋 What the SoundCloud Scraper does

  • Search SoundCloud by any keyword, genre, artist name, or mood
  • Extracts full track metadata: title, artist, play count, likes, comments, reposts, duration, genre, tags
  • Converts artwork to high-resolution 500x500 URLs automatically
  • Splits raw tag strings into clean arrays
  • Paginates automatically to collect up to 1,000,000 results
  • Delivers data in JSON, CSV, Excel, or XML - ready to download

💡 Why it matters: SoundCloud exposes richer metadata than most streaming platforms - including per-track play counts, comment counts, and tag lists - making it ideal for granular music analytics that platforms like Spotify don't offer publicly.

📊 Data fields

Each record includes: artist, artistFollowers, artistUrl, commentCount, description, duration, genre, imageUrl, likesCount, playCount, repostsCount, results, title, trackId, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: Free plan users are limited to 10 tracks per run. Upgrade to a paid plan to unlock up to 1,000,000 tracks per search.

🚀 How to use

  1. Create a free Apify account (includes $5 credit)
  2. Open the SoundCloud Track Scraper in Apify Store
  3. Enter your search query (artist name, genre, mood, or keywords)
  4. Set your maxItems limit
  5. Click Start and wait for results
  6. Download your dataset as JSON, CSV, or Excel
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💡 Pro Tip: browse the complete ParseForge collection for scrapers covering music, social media, marketplaces, and more.

⚠️ Disclaimer: This actor is an independent tool, not affiliated with, endorsed by, or sponsored by SoundCloud. It accesses only publicly available data through SoundCloud's public API. Use in accordance with SoundCloud's Terms of Service and applicable laws.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.