🎛️ DJ Track Audio Analyzer

DJ-grade audio analysis for any Spotify track. Get BPM, key, Camelot notation, rhythm structure, harmony, and 10+ DJ performance scores, all in one request. Structured JSON, ready for your mixing workflow.

No Spotify developer account needed. No API key required. Just paste URLs, IDs, ISRCs, or search keywords and hit Run.

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⚡ Why this scraper?

Standard audio features give you raw values. This scraper gives you DJ-ready intelligence.

• 🎯 All-in-one analysis: Track metadata, rhythm, harmony, DJ scores, genres, artist, and album data in a single result.
• 🥁 Rhythm analysis: BPM, beat count, bar count, time signature, phrase durations, half-time and double-time tempos.
• 🎹 Harmonic mixing: Musical key, mode, note name, and Camelot wheel notation for seamless harmonic transitions.
• 📊 10+ DJ scores: Dancefloor, hype, groove, blendability, peak-time, warmup, chill, aggressive, vocal risk, and more.
• 🏷️ Smart flags: Vocal heavy, acoustic, instrumental, live recording, club loud, all derived from audio analysis.
• 🔀 Flexible input: Pass Spotify URLs, track IDs, ISRCs, or plain search keywords. Mix and match freely.

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🏆 How it compares

Feature	This scraper	Spotify Web API	Other scrapers
🎵 Track metadata	✅	✅	✅
🥁 Rhythm analysis (beats, bars, phrases)	✅	❌	❌
🎹 Camelot notation	✅	❌	❌
📊 DJ performance scores	✅	❌	❌
🏷️ Smart audio flags	✅	❌	❌
🎛️ Audio features	✅	❌ Deprecated	❌
🔍 Search by keyword	✅	✅	❌ Most don't
🔑 API key required	❌ None	✅ Required	❌ None

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📊 What data do you get?

Each track analysis returns 5 data sections plus optional artist, album, and genre data:

🎵 Track

Field	Example
Name	One More Time
ID / ISRC	0DiWol3AO6WpXZgp0goxAV / GBDUW0000053
Popularity	80
Duration	05:20 (320.4s, 320,357 ms)
Loudness	-8.6 dB (-8.618 dB)
Explicit	false
Track / Disc #	1 / 1
Flags	vocal_heavy, acoustic, instrumental, live_recording, club_loud
Preview URL	Spotify preview link
URL / URI	Spotify URL and URI
Available Markets	Country codes (optional)

🥁 Rhythm

Field	Example
Tempo	123.00 BPM
Bucket	allegro
Time signature	4/4
Beats / Bars	655 beats, 164 bars
Beat duration	489 ms
Half-time / Double-time	61.4 / 245.5 BPM
Phrase durations	1-bar (2.0s), 8-bar (15.6s), 16-bar (31.3s), 32-bar (62.6s)
Phrase counts	10x 16-bar, 5x 32-bar

🎹 Harmony

Field	Example
Key	2 (D)
Mode	major
Camelot	10B
Note	D

📊 DJ Scores

All scores are normalized between 0 and 1:

Score	Description	Example
Danceability	Rhythmic suitability for dancing	0.613
Energy	Intensity and activity level	0.697
Valence	Musical positivity / mood	0.476
Dancefloor	Composite dancefloor suitability	0.651
Chill	Relaxed vibe indicator	0.006
Aggressive	Hard-edge energy	0.683
Hype	Crowd-hype and peak-energy	0.813
Groove	Groove strength with low vocal interference	0.689
Warmup	Warmup set suitability	0.314
Peak Time	Peak-time DJ suitability	0.672
Blendability	Ease of blending with other tracks	0.426
Vocal Risk	Risk of vocal clash during mixing	0.480

🎤 Artists (optional)

Name, ID, popularity, followers, genres, profile image, URL, and URI for each credited artist.

📀 Album (optional)

Name, ID, type, release date, release date precision, popularity, total tracks, label, UPC, copyright, genres, cover art, URL, URI, and available markets.

🏷️ Genres

Aggregated genre list from the track's credited artists (e.g. ["french house", "electronic", "electro"]).

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🚀 How to use

1. Enter your tracks: Paste Spotify URLs, track IDs, ISRCs, or keywords in the Tracks field.
2. Toggle options: Enable or disable artists, album, or available markets.
3. Run: Click Start and get analysis results in seconds.

⚙️ Include options

Option	Default	Description
🎤 Include Artists	✅ On	Full artist profiles (name, genres, popularity, followers)
📀 Include Album	✅ On	Album metadata (name, type, release date, label, cover art)
🌍 Include Available Markets	⬜ Off	Countries where the track is available (ISO 3166-1 codes)
🔢 Max results per keyword	10	Cap the number of results per search keyword

Input examples

You can mix input types freely:

https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV
7cMFjxhbXBpOlais7KMF3j
GBDUW0000053
One More Time

• 🔗 URL: Any open.spotify.com/track/ link
• 🆔 ID: The 22-character Spotify track ID
• 🏷️ ISRC: International Standard Recording Code (e.g. GBDUW0000053)
• 🔍 Keyword: A search term returning up to 10 results (configurable)

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📤 Output

Each result is a JSON object with all analysis data. Results are pushed to the dataset and saved as individual JSON files in the key-value store (e.g. track_0DiWol3AO6WpXZgp0goxAV.json).

{
    "name": "One More Time",
    "type": "track",
    "url": "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV",
    "image": "https://i.scdn.co/image/ab67616d0000b273...",
    "success": true,
    "result": "1/1",
    "mode": "url",
    "target": "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV",
    "track": {
        "track_image": "https://i.scdn.co/image/ab67616d0000b273...",
        "track_name": "One More Time",
        "track_id": "0DiWol3AO6WpXZgp0goxAV",
        "track_url": "https://open.spotify.com/track/0DiWol3AO6WpXZgp0goxAV",
        "track_uri": "spotify:track:0DiWol3AO6WpXZgp0goxAV",
        "track_isrc": "GBDUW0000053",
        "track_popularity": 80,
        "track_duration": "05:20",
        "track_duration_s": 320.4,
        "track_duration_ms": 320357,
        "track_loudness": "-8.6 dB",
        "track_loudness_db": -8.618,
        "track_explicit": false,
        "track_number": 1,
        "track_disc_number": 1,
        "track_is_vocal_heavy": false,
        "track_is_acoustic": false,
        "track_is_instrumental": false,
        "track_is_live_recording": false,
        "track_is_club_loud": false,
        "track_preview_url": "https://p.scdn.co/mp3-preview/..."
    },
    "artists": [
        {
            "artist_name": "Daft Punk",
            "artist_id": "4tZwfgrHOc3mvqYlEYSvVi",
            "artist_popularity": 82,
            "artist_followers": 10553313,
            "artist_genres": ["french house", "electronic", "electro"],
            "artist_url": "https://open.spotify.com/artist/4tZwfgrHOc3mvqYlEYSvVi",
            "artist_uri": "spotify:artist:4tZwfgrHOc3mvqYlEYSvVi"
        }
    ],
    "album": {
        "album_name": "Discovery",
        "album_id": "2noRn2Aes5aoNVsU6iWThc",
        "album_type": "album",
        "album_release_date": "2001-03-12",
        "album_release_date_precision": "day",
        "album_popularity": 75,
        "album_total_tracks": 14,
        "album_label": "Daft Life Ltd./ADA France",
        "album_upc": "0724384960650",
        "album_copyright": "2001 Daft Life Ltd.",
        "album_genres": ["french house", "electronic", "electro"],
        "album_url": "https://open.spotify.com/album/2noRn2Aes5aoNVsU6iWThc",
        "album_uri": "spotify:album:2noRn2Aes5aoNVsU6iWThc"
    },
    "rhythm": {
        "tempo": "123.00 BPM",
        "bpm": 122.746,
        "bucket": "allegro",
        "beats": 655,
        "beats_per_bar": 4,
        "beat_duration_ms": 489,
        "bars": 164,
        "time_signature": "4/4",
        "half_time_bpm": 61.373,
        "double_time_bpm": 245.492,
        "phrases_s": { "bar_1": 2.0, "bar_8": 15.6, "bar_16": 31.3, "bar_32": 62.6 },
        "phrases_count": { "bar_16": 10, "bar_32": 5 }
    },
    "harmony": {
        "key": 2,
        "mode": "major",
        "camelot": "10B",
        "camelot_number": 10,
        "camelot_letter": "B",
        "note": "D"
    },
    "score": {
        "danceability": 0.613,
        "energy": 0.697,
        "valence": 0.476,
        "dance_floor": 0.651,
        "chill": 0.006,
        "aggressive": 0.683,
        "hype": 0.813,
        "groove": 0.689,
        "warmup": 0.314,
        "peak_time": 0.672,
        "blendability": 0.426,
        "vocal_risk": 0.48
    },
    "genres": ["french house", "electronic", "electro"]
}

Available as JSON, CSV, Excel, or via the Apify API and dataset exports.

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💡 Use cases

• 🎧 DJ set preparation: Analyze BPM, key, and Camelot notation to plan harmonic transitions
• 📊 Playlist curation: Score tracks by dancefloor energy, groove, or blendability to build better playlists
• 🎶 Music discovery: Find warmup tracks, peak-time bangers, or chill tracks using DJ scores
• 🔍 Vocal clash prevention: Use vocal_risk scores to avoid problematic blends
• 📈 Music analytics: Compare audio profiles, tempo distributions, and harmonic patterns across catalogs
• 🛠️ DJ software integration: Feed structured analysis data into custom mixing tools or recommendation engines
• 🎓 Music research: Collect structured rhythm, harmony, and score data for academic or computational analysis

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🔌 Integrations

Connect results to your existing workflow:

• 📗 Google Sheets: Auto-export results to a spreadsheet
• 🪝 Webhooks: Trigger downstream actions when a run completes
• ⚡ Zapier / Make: Plug into 1000+ apps
• 🛠️ API: Fetch results programmatically from any language
• 🔄 Scheduled runs: Monitor changes over time with recurring analyses