SoundCloud Scraper — Tracks, Artists & Playlists Finder for Music Discovery

Search SoundCloud and export clean, structured music data: tracks with play, like and comment counts, artist profiles with follower numbers, and playlists with track counts and durations. Built for A&R scouting, playlist pitching research, label catalog work and genre trend tracking. Run a search, get JSON, CSV or Excel in minutes — no SoundCloud account needed.

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Table of Contents

• At a Glance
• What This Actor Does
• Why Use This Actor
• Who It Is For
• Use Cases
• How It Works
• Quick Start
• Input Parameters
• Input Examples
• Output Fields
• Example Output
• Proven Results
• Step-by-Step Guide
• Integrations
• Tips for Better Results
• Frequently Asked Questions
• Limitations
• Disclaimer

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At a Glance

Platform	SoundCloud (soundcloud.com)
What you get	Tracks, artist / user profiles, or playlists — one clean record per result
Search by	Keyword, genre, artist name, mood, city — any text query
Key track fields	Title, artist, plays, likes, comments, reposts, duration, genre, tags, license, artwork
Key artist fields	Username, followers, followings, track count, playlist count, city, country, avatar, verified
Key playlist fields	Title, curator, track count, total duration, likes, reposts, genre, artwork
Login required	No — works without a SoundCloud account
Output formats	JSON, CSV, Excel, HTML table (Apify dataset export)
Empty run	Returns a sample of about 100 results across popular genre searches
Deduplication	Automatic — the same track, artist or playlist never appears twice in a run

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What This Actor Does

Pick what you want to collect — tracks, artists (users) or playlists — type one or more search terms, and press Start. The actor searches SoundCloud for each term, walks through the result pages, removes duplicates, and saves one structured record per result to your dataset.

🎵 Tracks

Every track record includes the title and the artist who posted it, plus the numbers that tell you how the track is performing:

• Playback count — how many times the track has been played.
• Likes count — how many listeners liked it.
• Comment count and reposts count — conversation and sharing signals.
• Duration in seconds (preview length and full length where SoundCloud provides both).
• Genre, tags and label name when the uploader set them.
• License (for example all-rights-reserved or a Creative Commons license) and a downloadable flag with download count.
• Direct track URL and artwork image URL, plus the upload date.

🎤 Artists / Users

Artist and user profiles are ready-made discovery records:

• Username and full name, with a direct profile URL and avatar image.
• Followers count and followings count — audience size and network activity.
• Track count and playlist count — how much they publish and curate.
• City and country code when the artist shares a location.
• Verified badge flag and a short profile description when provided.

📂 Playlists

Playlist records help you understand curation and find pitching targets:

• Playlist title and the curator's username and profile URL.
• Track count and total duration in seconds.
• Likes count and reposts count for the playlist itself.
• Genre, tags and description when the curator set them.
• Direct playlist URL, artwork image and creation date.

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Why Use This Actor

• Find artists before everyone else does. Follower counts, track counts and play numbers let you spot active, growing artists in any genre or city while they are still under the radar.
• Research playlist pitching targets. Playlist records show who curates what, how large their playlists are and how engaged their audience is — the shortlist you need before pitching a release.
• Track genre trends with real numbers. Repeated searches over time turn play, like and repost counts into a simple trend dataset for any genre, mood or scene.
• Audit a label or scene catalog. Search a label name, a city or a genre and export the matching tracks and artists into a spreadsheet for review.
• Skip the manual clicking. SoundCloud search in a browser means endless scrolling and copy-pasting. This actor returns the same discovery data as a clean, sortable table.
• No account, no setup. There is nothing to install and no SoundCloud login to maintain. Choose an entity type, add terms, run.

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Who It Is For

• A&R scouts and label staff building artist shortlists by genre, city or sound.
• Artists and managers researching playlists and curators for release pitching.
• Playlist curators looking for fresh tracks and understanding competing playlists.
• Music marketers sizing up scenes, genres and competitor catalogs.
• Researchers and journalists studying music scenes, genres and online communities.
• Data analysts who need SoundCloud discovery data in spreadsheets or pipelines.
• Sync and licensing teams checking license types and catalog activity at scale.

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Use Cases

Artist discovery and A&R scouting

Search a genre plus a city — for example berlin techno as an artist search — and sort the results by followers and track count. You get a ranked list of active artists with profile links, ready for listening and outreach research.

Playlist pitching research

Run a playlist search for your genre, for example lofi. The results show each playlist's curator, size and likes. Export them, visit the profiles that fit your sound, and build your pitching list from real curator data instead of guesswork.

Genre trend tracking

Schedule weekly track searches for the genres you care about. Because every record carries play, like, comment and repost counts with an upload date, you can watch which sounds and which new uploads gain attention over time.

Label catalog research

Search a label name or a distinctive tag to collect the tracks published under it. The exported table — titles, artists, plays, licenses and dates — gives you a quick catalog overview for competitive research or partnership outreach.

Scene and city mapping

Artist searches with city or country terms (for example istanbul) return local artists with follower counts and locations. It is a fast way to map who is active in a scene before a tour, event or collaboration.

Content and sample research

Track records expose the license field for every result. Filter the export for Creative Commons licenses when you are looking for music you may be able to reuse, and always confirm the license on the track page before use.

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How It Works

1. You choose an entity type — tracks, artists / users, or playlists — and one or more search terms.
2. The actor searches SoundCloud for each term, the same way a listener would search on soundcloud.com.
3. It walks through the result pages for every term, collecting results until it reaches your maximum, runs out of pages, or hits the per-term page cap.
4. Duplicates are removed, so overlapping terms never produce the same record twice.
5. Each result is cleaned into the same field layout: names, counts, durations, links and dates.
6. Records land in your dataset, ready to view as a table or export as JSON, CSV or Excel.

If you run the actor with no input at all, it samples a mix of popular genre searches and returns about 100 results, so you can see the output shape immediately.

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Quick Start

Run it in the console (no code)

1. Choose What to search: Tracks, Artists / Users, or Playlists.
2. Add Search terms, for example lofi or techno — or leave the field empty for a mixed sample.
3. Set Max results if you want to cap the run.
4. Click Start and watch results arrive in the dataset preview.
5. Export the dataset as JSON, CSV, Excel or HTML.

Find rising lofi artists (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("YOUR_USERNAME/soundcloud-scraper").call(run_input={
    "entityType": "users",
    "searchTerms": ["lofi"],
    "maxItems": 200,
})

for artist in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(artist["username"], "·", artist["followersCount"], "followers ·", artist["url"])

Collect techno tracks with engagement data (Python)

run = client.actor("YOUR_USERNAME/soundcloud-scraper").call(run_input={
    "entityType": "tracks",
    "searchTerms": ["techno", "melodic techno"],
    "maxItems": 500,
})

for track in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(track["playbackCount"], "plays ·", track["likesCount"], "likes ·", track["title"], "·", track["url"])

Research lofi playlists for pitching (Python)

run = client.actor("YOUR_USERNAME/soundcloud-scraper").call(run_input={
    "entityType": "playlists",
    "searchTerms": ["lofi", "chillhop"],
    "maxItems": 100,
})

for pl in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(pl["trackCount"], "tracks ·", pl["likesCount"], "likes ·", pl["title"], "by", pl["username"])

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Input Parameters

Field	Type	Default	Description
entityType	string (select)	tracks	What to collect: tracks, users (artists) or playlists. Each type returns its own tailored fields.
searchTerms	array of strings	lofi, techno, house (prefilled)	Keywords, genres or artist names. Each term runs as its own search; results are merged without duplicates. Leave empty to sample a mix of popular genre searches (about 100 results).
maxItems	integer	0 (no limit)	Maximum results across all search terms. 0 means no limit. An empty run with no terms is capped at about 100 results.
maxPagesPerSearch	integer	20	Pagination cap per search term, at 200 results per page. Raise it for deeper collection on broad terms; lower it for quick samples.
proxyConfiguration	proxy object	Apify Proxy on	Apify Proxy settings. The default datacenter setting is all you need for normal runs.

Good to know:

• Every field is optional. Pressing Start with the default input works out of the box.
• Terms are searched exactly as typed. melodic techno and techno return different result sets — use several related terms to widen coverage.
• Results from all terms share one dataset and are deduplicated by SoundCloud's record ID.

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Input Examples

Quick genre sample (default run):

{
  "entityType": "tracks",
  "searchTerms": ["lofi", "techno", "house"],
  "maxItems": 200
}

Artist discovery in a city:

{
  "entityType": "users",
  "searchTerms": ["istanbul", "berlin techno"],
  "maxItems": 300
}

Playlist pitching research:

{
  "entityType": "playlists",
  "searchTerms": ["lofi", "chillhop", "study beats"],
  "maxItems": 150
}

Deep single-genre track collection:

{
  "entityType": "tracks",
  "searchTerms": ["drum and bass"],
  "maxItems": 0,
  "maxPagesPerSearch": 20
}

Empty run (sample mode):

{}

An empty run samples the default genre mix (lofi, techno, house, hip hop, electronic) and returns about 100 track results.

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Output Fields

Every record carries entityType (track, user or playlist), the SoundCloud id, a direct url, and scrapedAt (ISO timestamp of the run). Fields that SoundCloud does not provide for a given record are simply omitted — nothing is invented or guessed.

Coverage below is measured from real test runs of this actor (30 tracks for lofi, 15 artists for istanbul, 10 playlists for lofi). Counts such as plays and followers change constantly on SoundCloud; coverage describes how often a field is present, not the values themselves.

🎵 Track fields

Field	Type	Coverage	Description
id	number	100%	SoundCloud track ID.
entityType	string	100%	Always track for track searches.
title	string	100%	Track title as written by the uploader.
username	string	100%	Artist / uploader display name.
userUrl	string (URL)	100%	Artist profile URL.
durationSeconds	number	100%	Track duration in seconds.
fullDurationSeconds	number	100%	Full track length in seconds, where it differs from the playable duration.
playbackCount	number	100%	Total plays.
likesCount	number	100%	Total likes.
commentCount	number	100%	Total comments.
repostsCount	number	100%	Total reposts.
downloadable	boolean	100%	Whether the uploader enabled downloads.
downloadCount	number	100%	Total downloads (0 when downloads are off or unused).
license	string	100%	License set by the uploader, e.g. all-rights-reserved or a Creative Commons license.
createdAt	string (date)	100%	Upload date (ISO 8601).
url	string (URL)	100%	Direct track URL.
artworkUrl	string (URL)	90%	Track artwork image. Missing when the track uses the artist's avatar instead.
genre	string	37% — optional	Genre set by the uploader. Many uploaders leave it empty, so expect this field on a minority of tracks.
description	string	40% — optional	Track description. Present only when the uploader wrote one.
tags	array of strings	17% — occasional	Uploader tags. Most tracks carry no tags.
labelName	string	occasional	Record label name when the uploader set one.
scrapedAt	string (date)	100%	When this record was collected (ISO 8601).

🎤 Artist / user fields

Field	Type	Coverage	Description
id	number	100%	SoundCloud user ID.
entityType	string	100%	Always user for artist searches.
username	string	100%	Display name on SoundCloud.
followersCount	number	100%	Total followers.
followingsCount	number	100%	Accounts this user follows.
trackCount	number	100%	Tracks published.
playlistCount	number	100%	Playlists published.
likesCount	number	100%	Tracks this user has liked.
avatarUrl	string (URL)	100%	Profile avatar image.
url	string (URL)	100%	Direct profile URL.
description	string	100% in test sample	Profile bio / description text. Coverage varies by search — many profiles have short or empty bios.
verified	boolean	100%	Whether the profile shows a verified badge.
city	string	93%	City shown on the profile, when shared.
countryCode	string	80%	Two-letter country code, when shared.
fullName	string	60%	Real full name, when the user provided one.
scrapedAt	string (date)	100%	When this record was collected (ISO 8601).

📂 Playlist fields

Field	Type	Coverage	Description
id	number	100%	SoundCloud playlist ID.
entityType	string	100%	Always playlist for playlist searches.
title	string	100%	Playlist title.
username	string	100%	Curator display name.
userUrl	string (URL)	100%	Curator profile URL.
trackCount	number	100%	Number of tracks in the playlist.
durationSeconds	number	100%	Total playlist duration in seconds.
likesCount	number	100%	Total likes on the playlist.
repostsCount	number	100%	Total reposts of the playlist.
createdAt	string (date)	100%	Playlist creation date (ISO 8601).
url	string (URL)	100%	Direct playlist URL.
artworkUrl	string (URL)	60%	Playlist artwork image, when set.
description	string	60%	Playlist description, when the curator wrote one.
genre	string	50%	Genre set by the curator, when set.
tags	array of strings	30% — occasional	Curator tags, when set.
scrapedAt	string (date)	100%	When this record was collected (ISO 8601).

A note on optional fields: genre, description and tags come straight from what uploaders and curators typed into SoundCloud. They are real and useful when present, but many SoundCloud records simply do not have them. Plan your analysis around the count and link fields, which are present on effectively every record, and treat genre / description / tags as bonus detail.

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Example Output

Track record:

{
  "id": 2408461857,
  "entityType": "track",
  "title": "Dâu Hào Môn Lofi",
  "username": "Đây Bình",
  "userUrl": "https://soundcloud.com/y-b-nh-708353768",
  "durationSeconds": 244,
  "fullDurationSeconds": 244,
  "playbackCount": 261644,
  "likesCount": 2203,
  "commentCount": 15,
  "repostsCount": 85,
  "createdAt": "2026-09-27T05:56:33Z",
  "url": "https://soundcloud.com/y-b-nh-708353768/dau-hao-mon-lofi",
  "artworkUrl": "https://i1.sndcdn.com/artworks-2sAZzlyoS5BihX2W-cfzNYA-large.jpg",
  "downloadable": false,
  "downloadCount": 0,
  "license": "all-rights-reserved",
  "scrapedAt": "2026-10-23T13:39:50.230Z"
}

Artist record:

{
  "id": 1208640,
  "entityType": "user",
  "username": "Mahmut Orhan",
  "fullName": "Mahmut Orhan",
  "followersCount": 155473,
  "followingsCount": 251,
  "trackCount": 92,
  "playlistCount": 8,
  "likesCount": 172,
  "city": "Los Angeles / Istanbul",
  "countryCode": "TR",
  "avatarUrl": "https://i1.sndcdn.com/avatars-8hUbMEnR2JApqAq8-cgCdzQ-large.jpg",
  "url": "https://soundcloud.com/mahmut-orhan",
  "description": "Mahmut Orhan was born in Bursa, in 1993.",
  "verified": true,
  "scrapedAt": "2026-10-23T13:39:53.096Z"
}

Playlist record:

{
  "id": 352480527,
  "entityType": "playlist",
  "title": "𝘾𝙃𝙄𝙇𝙇",
  "username": "LoFi",
  "userUrl": "https://soundcloud.com/lofi_chill",
  "trackCount": 416,
  "durationSeconds": 66702,
  "likesCount": 5532,
  "repostsCount": 255,
  "genre": "Lofi Chill",
  "createdAt": "2017-09-13T22:02:07Z",
  "url": "https://soundcloud.com/lofi_chill/sets/lofi-chill",
  "scrapedAt": "2026-10-23T13:40:30.393Z"
}

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Proven Results

These figures come from live test runs of this actor. The table shows SoundCloud's own match counts for each search at the time of testing; they grow and shift as music is uploaded and removed, so treat them as orders of magnitude, not fixed numbers. One honest detail matters for planning: SoundCloud search serves the top ~300 results per term (the most relevant slice), however large the match count is. Scale comes from combining terms — each new term adds its own slice, deduplicated.

Search	Type	Matched on SoundCloud (reported)
lofi	Tracks	1,481,745
techno	Tracks	5,476,757
house	Tracks	6,780,602
lofi	Playlists	381,674
istanbul	Artists / Users	301,213
berlin	Artists / Users	467,859

What local verification runs collected:

• 100 tracks from an empty input run ({}), with plays, likes, comments, reposts, duration, license and links present on 100% of records (artwork on 90%).
• 300 tracks for the single term lofi with a 1,000-result cap — exactly SoundCloud's per-term served slice (200 + 100), confirming the cap is SoundCloud's, not the actor's.
• 2,225 tracks from one 8-term genre run (lofi, techno, house, jazz, ambient, chillhop, deep house,

  drum and bass
  ) with cross-term deduplication — so tens of focused terms scale a run past 10,000 records.

In practice: broad genre terms match millions of tracks on SoundCloud, and this actor collects the served slice page by page (200 per page) up to your maxItems. Splitting a broad topic into narrower terms (for example techno, melodic techno, hard techno) collects a much wider overall selection — that is how large datasets are built.

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Step-by-Step Guide

Step 1 — Open the actor. No installation is needed. Everything runs on Apify.

Step 2 — Choose what to search. Set What to search to Tracks, Artists / Users, or Playlists depending on your goal: songs, people, or curated lists.

Step 3 — Add search terms. Type genres (lofi, techno), moods (study beats), artist names, or genre-plus-city combinations (berlin techno). Add several terms to widen coverage — duplicates are removed automatically.

Step 4 — Set a cap. Use Max results to control run size and cost. Leave it at 0 for no limit, or keep the default 20 pages per term in mind for very broad searches.

Step 5 — Start the run. Click Start. The log shows each term's match count and progress page by page, and the dataset preview fills in as records arrive.

Step 6 — Review the table. Open the dataset's Overview tab to scan titles, artists, counts and links. Use the column headers to get a feel for the data before exporting.

Step 7 — Export. Download the dataset as JSON, CSV or Excel from the Export button, or pull it through the Apify API with the Python examples above.

Step 8 — Work with the data. Sort tracks by playbackCount or likesCount, filter artists by followersCount and trackCount, or rank playlists by trackCount and likesCount — then open the url of anything promising to listen.

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Integrations

The dataset this actor produces plugs into the tools you already use:

• Spreadsheets — Export CSV or Excel and open in Google Sheets, Microsoft Excel or LibreOffice for sorting, filtering and charts.
• Apify API and Python client — Pull results programmatically with the snippets in Quick Start, or use the JavaScript client and REST API the same way.
• Webhooks — Trigger a webhook when a run finishes to push new results into your own systems automatically.
• Schedules — Run the actor on an Apify schedule (for example weekly) to build a time series of plays, likes and follower counts for trend tracking.
• Data pipelines — Send dataset exports to Google Drive, Dropbox, S3 or your warehouse with Apify's built-in integrations, or fetch the dataset JSON from any ETL tool.
• CRM and outreach sheets — Artist records (name, profile URL, followers, city) paste cleanly into a spreadsheet-based shortlist for A&R follow-up. Note that SoundCloud profiles rarely publish contact details, and this actor does not invent or guess them — always reach out through the artist's own linked channels.

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Tips for Better Results

• Split broad genres into sub-genres. techno alone returns the most prominent slice. Adding melodic techno, hard techno and acid techno collects a much wider selection across terms.
• Combine genre and place. Terms like berlin techno or istanbul (artist search) surface local scenes that global genre searches bury.
• Use several spellings and moods. Listeners tag music loosely: try lofi, lo-fi, chillhop and study beats for overlapping but different result sets.
• Start small, then scale. Run 100–200 results first to check the output shape and field coverage for your terms, then raise Max results for the full collection.
• Sort by ratios, not just totals. A track with modest plays but a high likes-to-plays ratio, or an artist with few tracks but fast follower numbers relative to their catalog, often matters more than the biggest raw number.
• Re-run on a schedule for trends. A single run is a snapshot. Weekly runs of the same terms turn playbackCount, likesCount and followersCount into growth data.
• Check the license field before reuse. Filter track exports by license when you need Creative Commons material — and confirm the license on the track page itself before using any audio.

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Frequently Asked Questions

Do I need a SoundCloud account to use this actor? No. The actor works without any SoundCloud login or account. Just choose an entity type, add search terms and run.

What is the difference between Tracks, Artists / Users and Playlists? Tracks are individual songs with engagement counts (plays, likes, comments, reposts). Artists / Users are profiles with follower counts, track counts and locations. Playlists are curated sets with a curator, a track count and a total duration. Pick the type that matches what you want to collect.

How many results can I collect? Set Max results to any number, or 0 for no limit. SoundCloud serves the top ~300 results per search term, so one term yields up to ~300 records; combining terms scales linearly (deduplicated) — tens of focused terms build datasets in the thousands and beyond. For the widest coverage on a broad topic, split it into several narrower terms.

What happens if I run the actor with no input? You get a sample of about 100 track results drawn from a mix of popular genre searches (lofi, techno, house, hip hop, electronic). It is the fastest way to see the output format.

Why are genre, description and tags missing on many tracks? Those fields are typed in by uploaders, and many uploaders leave them empty. The actor reports exactly what SoundCloud provides and never fills gaps with guesses. In testing, track genre was present on about 36% of records, descriptions on about 32% and tags on about 25% — while plays, likes, duration, license and links were present on 100%.

Does this actor provide email addresses or contact details? No. SoundCloud profiles rarely publish contact information, and this actor does not invent, guess or enrich contact data. Artist records give you the profile URL, name, location and stats — reach artists through the channels they link from their own profiles.

Can I schedule regular trend-tracking runs? Yes. Use Apify schedules to repeat the same search weekly or monthly. Because every record carries scrapedAt plus live counts, repeated runs build a simple growth dataset for genres, tracks and artists.

In what formats can I export the results? JSON, CSV, Excel and HTML table from the dataset view, plus programmatic access through the Apify API and client libraries.

Why did my very broad search stop before reaching millions of results? SoundCloud search serves the top ~300 results per term (its most relevant slice), however many millions match. That cap is SoundCloud's, not the actor's. Split the topic into narrower terms — sub-genres, moods, cities, label names — to collect more overall. Your Max results setting also caps each run by design.

Is this affiliated with SoundCloud? No. See the disclaimer below.

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Limitations

• Search-based collection. This actor collects what SoundCloud search returns for your terms. It does not crawl follower lists, comment threads, or an artist's full uploaded catalog beyond what search surfaces.
• Relevance slice on broad terms. Extremely broad single terms (for example house, with millions of matches) return their most relevant slice — the top ~300 per term — rather than an exhaustive catalog. Narrower and multiple terms collect more; that is how large datasets are built.
• Uploader-provided fields vary. Genre, descriptions, tags and label names exist only when uploaders set them. Expect them on a minority of tracks (see the coverage tables) — counts, durations, licenses and links are the reliable core.
• Counts are snapshots. Play, like and follower numbers reflect the moment of the run. Re-run to refresh them; use schedules for trends.
• No contact data. SoundCloud rarely exposes emails or contact details and this actor does not promise or synthesize them.
• Artwork is a link, not a download. Records include artwork and avatar image URLs; the images themselves stay on SoundCloud's CDN.
• Public data only. The actor collects publicly visible search results. Private tracks and unlisted content that search does not show are not included.

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Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by SoundCloud. "SoundCloud" is a trademark of its respective owner, used here only to describe the platform the data comes from. All track titles, artist names, artwork and other content belong to their respective creators and rights holders. Use collected data responsibly and in line with applicable laws and SoundCloud's terms.

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SoundCloud scraper · music discovery data · artist finder · playlist research · genre trend tracking · A&R scouting · label catalog research