YouTube Music Scraper — Search, Suggestions & Playlists
Pricing
from $9.00 / 1,000 results
YouTube Music Scraper — Search, Suggestions & Playlists
Scrape YouTube Music: search songs, albums, artists and playlists, get autocomplete suggestions, mood and genre playlists, and similar tracks for any song. No API key.
Pricing
from $9.00 / 1,000 results
Rating
0.0
(0)
Developer
Maged
Maintained by CommunityActor stats
0
Bookmarked
7
Total users
1
Monthly active users
4 hours ago
Last modified
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What does YouTube Music Scraper do?
YouTube Music Scraper extracts data from YouTube Music in four modes, without a YouTube Music API key:
- Search: songs, videos, albums, artists and playlists for any query, with links
- Suggestions: the autocomplete suggestions YouTube Music shows while typing
- Mood playlists: playlists for a mood or genre from Explore (Chill, Workout, Focus, Pop…)
- Similar tracks: the "radio" queue of related songs for any song
This Actor runs on the Apify platform. Use it for music data pipelines, playlist research, keyword research or building music discovery datasets.
Why use YouTube Music Scraper?
- No setup: no Google Cloud project or quota to manage
- Four tools in one: search, autocomplete, mood/genre playlists and similar tracks
- Ready-made links: every song, album, artist and playlist row comes with its YouTube Music URL
- Music marketing: suggestions and related tracks show which artists and songs people connect, useful for playlist pitching and release planning
How to use YouTube Music Scraper
- Open the Actor and click Try for free
- Pick a Mode
- Fill in the field that mode needs: Search query (search, suggestions), Mood or genre (mood playlists) or Video ID (similar tracks)
- Click Start; results appear in the Output tab
- Download as JSON, CSV or Excel
Input
| Field | Type | Used by | Description |
|---|---|---|---|
mode | string | all | search (default), suggestions, moodPlaylists or similarTracks |
query | string | search, suggestions | Search text |
filter | string | search | songs, videos, albums, artists, playlists, community_playlists, featured_playlists or uploads |
scope | string | search | Optional search scope (e.g. library) |
mood | string | moodPlaylists | Mood or genre name from Explore |
videoId | string | similarTracks | Video ID of a song |
limit | integer | search, moodPlaylists | Max results (default 20) |
Examples:
{ "mode": "search", "query": "Imagine Dragons", "filter": "songs", "limit": 20 }
{ "mode": "moodPlaylists", "mood": "Chill", "limit": 10 }
{ "mode": "similarTracks", "videoId": "dQw4w9WgXcQ" }
Output
Rows keep YouTube Music's own fields. A search result looks like:
{"resultType": "song","title": "Believer","artists": [{ "name": "Imagine Dragons", "id": "UC0aXrjVxG5pZr99v77wZdPQ" }],"album": { "name": "Evolve", "id": "MPREb_..." },"duration": "3:24","videoId": "7wtfhZwyrcc","thumbnails": [{ "url": "https://lh3.googleusercontent.com/...", "width": 60, "height": 60 }],"url": "https://music.youtube.com/watch?v=7wtfhZwyrcc"}
- Suggestions rows have the suggestion
textand its highlightedruns. - Mood playlists rows have
title,playlistId,thumbnails,descriptionandurl. - Similar tracks rows have
title,artists,album,length,videoIdandthumbnail.
Moving from the old single-purpose actors? YouTube Music Autocomplete = mode: "suggestions", YouTube Music Mood Playlists = mode: "moodPlaylists", YouTube Music Playlist Finder = mode: "similarTracks". The inputs and output rows are the same.
Tips
- Schedule it to track how YouTube Music's suggestions and playlists change over time, and export to Google Sheets.
- Chain the modes: search for a song, then feed its
videoIdtosimilarTracksto build a related-songs list. - Music marketing: autocomplete suggestions and related playlists show which artists and songs people connect, which is useful for playlist pitching and release planning.
- Export anywhere: download results as JSON, CSV, Excel or HTML, or read them through the Apify API.
FAQ
Is this Actor maintained? Yes. Report bugs or feature requests in the Issues tab.
Need help or have questions? Open an issue in the Issues tab or reach out on Discord: maged03211
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