✨ Ultimate Spotify Tracks Scraper - Advanced Filter & Data Extraction > Professional Spotify data extraction with 50+ advanced filters > Extract complete track data including audio features, artist insights, AI recommendations, and market intelligence. ## 🔥 Why Choose This Scraper? Professional-grade Spotify data extraction with comprehensive filtering and analysis capabilities. ### ⚡ Key Features | Feature | Basic Scrapers | Our Spotify Tracks Scraper | |---------|----------------|-------------------------------| | Filters Available | 5-10 basic | ✅ 50+ Advanced Filters | | Audio Features | Limited | ✅ 16 Audio Metrics (danceability, energy, tempo, etc.) | | Audio Analysis | ❌ Not available | ✅ Deep Waveform Analysis (bars, beats, segments) | | Recommendations | ❌ Not available | ✅ AI-Powered Similar Tracks | | Artist Insights | Basic name only | ✅ Complete Profile (genres, followers, top tracks) | | Market Data | ❌ Not available | ✅ Global Availability Tracking | | Search Precision | Keywords only | ✅ 8 Search Field Types | | API Reliability | Single API | ✅ 5 API Fallback System | | Data Points | 10-20 fields | ✅ 100+ Data Fields | --- ## 🎯 Perfect For - 🎧 Music Curators - Find tracks with specific audio characteristics (high energy, danceable, acoustic) - 📊 Data Analysts - Extract comprehensive Spotify data for analysis and research - 🎵 Playlist Builders - Filter tracks by mood, tempo, key, and genre - 💼 Music Industry Professionals - Track market availability, ISRC codes, release dates - 🤖 Developers - Build music recommendation systems with complete audio features - 📱 App Creators - Integrate rich Spotify data into your applications --- ## 🚀 Quick Start ### 1️⃣ Basic Track Search json { "searchMode": "keyword", "keywords": ["summer vibes", "workout music"], "maxResults": 50, "includeAudioFeatures": true } ### 2️⃣ Advanced Filtering - High Energy Tracks json { "keywords": ["rock"], "minEnergy": 0.8, "minTempo": 120, "minPopularity": 70, "explicitOnly": false, "maxResults": 100 } ### 3️⃣ Mood-Based Search - Chill & Acoustic json { "keywords": ["chill", "relax"], "minAcousticness": 0.7, "maxEnergy": 0.4, "minValence": 0.5, "includeRecommendations": true } --- ## 📋 Input Configuration ### 🔍 Search Settings | Parameter | Type | Description | Example | |-----------|------|-------------|---------| | searchMode | Select | both, keyword, or urls | "both" | | keywords | Array | Search terms to find tracks | ["rock", "jazz"] | | urls | Array | Direct Spotify track URLs | [{"url": "https://open.spotify.com/track/..."}] | | maxResults | Integer | Max tracks per keyword (1-50) | 20 | ### 🎛️ Advanced Search Fields (NEW!) The searchFields parameter lets you control WHERE your keywords are searched: | Field Value | Searches In | Use Case | Example | |-------------|-------------|----------|---------| | track | Song names only | Find specific track titles | "track" searches "Bohemian" → finds "Bohemian Rhapsody" | | artist | Artist names only | Find tracks BY an artist | "artist" searches "Queen" → finds all Queen songs | | album | Album names only | Find tracks FROM an album | "album" searches "A Night at the Opera" → finds album tracks | | year | Release year | Find tracks from specific year | "year" searches "2020" → finds 2020 releases | | genre | Genre tags | Find tracks in a genre | "genre" searches "rock" → finds rock tracks | | isrc | ISRC codes | Find by international code | "isrc" searches "USRC17607839" → exact match | | tag:new | New releases | Recent tracks (last 2 weeks) | "tag:new" → finds newest releases | | tag:hipster | Less known tracks | Discover hidden gems | "tag:hipster" → finds underground music | | (empty) | Everywhere | Search all fields | Default behavior | How It Works: - Without searchFields: Keyword "Queen" searches everywhere (track names, artist names, albums, etc.) - With searchFields: ["artist"]: Keyword "Queen" ONLY searches artist names → finds tracks BY Queen - With searchFields: ["track", "album"]: Keyword "Queen" searches track names OR album names → more focused results Example Use Cases: json // Find tracks BY Coldplay (not tracks named "coldplay") { "keywords": ["Coldplay"], "searchFields": ["artist"] } // Find NEW rock releases { "keywords": ["rock"], "searchFields": ["genre", "tag:new"] } // Find tracks FROM specific album { "keywords": ["Abbey Road"], "searchFields": ["album"] } ✅ Yes, full logic is implemented! This feature uses Spotify's advanced query syntax to build targeted searches. --- ### 🎵 Data Extraction Options | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | includeAudioFeatures | Boolean | Extract audio features (danceability, energy, etc.) | true | | includeAudioAnalysis | Boolean | Deep analysis (bars, beats, segments, waveform) | false | | includeRecommendations | Boolean | Get 10 similar tracks using AI | false | | includeTopTracks | Boolean | Artist's top 10 tracks | true | | includeMarkets | Boolean | List all available countries | false | --- ### 🎚️ 50+ Advanced Filters #### Basic Track Filters Basic Filters: - minPopularity / maxPopularity (0-100) - Filter by track popularity - minDuration / maxDuration (seconds) - Filter by track length - explicitOnly / cleanOnly - Content type filtering - minYear / maxYear - Release year range - hasPreview - Only tracks with 30-second preview URLs Audio Features Filters (0.0 - 1.0): - minDanceability / maxDanceability - How suitable for dancing - minEnergy / maxEnergy - Intensity and activity level - minValence / maxValence - Musical positivity (happy/sad) - minAcousticness / maxAcousticness - Acoustic vs electronic - minInstrumentalness / maxInstrumentalness - Vocals vs instrumental - minLiveness / maxLiveness - Live performance detection - minSpeechiness / maxSpeechiness - Spoken word presence Musical Characteristics: - minTempo / maxTempo (BPM) - Beats per minute range - key (0-11) - Musical key (0=C, 1=C#, 2=D, 3=D#, 4=E, 5=F, 6=F#, 7=G, 8=G#, 9=A, 10=A#, 11=B) - mode (0-1) - Minor (0) or Major (1) - timeSignature (3-7) - Beats per bar Advanced Filters: - albumType - Filter by album, single, or compilation - markets - Required markets (country codes like US, GB, CA) - artistGenres - Filter by artist genre tags - isrc - Search by ISRC code - searchFields - Multi-field search (track, artist, album, year, genre, ISRC, UPC, tag:new, tag:hipster) Data Inclusion Options: - includeAudioFeatures - Include all 12 audio metrics (default: true) - includeAudioAnalysis - Include waveform analysis (requires premium API) - includeRecommendations - Include 10 similar tracks - includeTopTracks - Include artist's top 10 tracks - includeMarkets - Include full market availability list Sorting Options (8 types): - popularity_desc / popularity_asc - Most/least popular - duration_desc / duration_asc - Longest/shortest - release_date_desc / release_date_asc - Newest/oldest - name_asc / name_desc - Alphabetical A-Z or Z-A #### Quick Examples Find Happy Dance Music: json { "operationMode": "scrape_tracks", "keywords": ["party dance"], "minDanceability": 0.8, "minEnergy": 0.7, | Filter | Type | Range/Options | Description | |--------|------|---------------|-------------| | `minPopularity` | Integer | 0-100 | Minimum popularity score | | `maxPopularity` | Integer | 0-100 | Maximum popularity score | | `minDuration` | Integer | Seconds | Minimum track length | | `maxDuration` | Integer | Seconds | Maximum track length | | `explicitOnly` | Boolean | true/false | Only explicit tracks | | `cleanOnly` | Boolean | true/false | Only clean tracks | | `minYear` | Integer | Year | Minimum release year | | `maxYear` | Integer | Year | Maximum release year | | `hasPreview` | Boolean | true/false | Must have preview URL ⚠️ | ⚠️ **Note on `hasPreview`**: Most Spotify tracks (80-90%) don't have preview URLs. Enabling this filter will **drastically reduce results** (often to 0). Only use if you specifically need 30-second preview clips. { "minEnergy": 0.8, "minTempo": 140, "minDanceability": 0.7, "maxAcousticness": 0.3 } Example: Chill Acoustic Study Music json { "minAcousticness": 0.7, "minInstrumentalness": 0.6, "maxEnergy": 0.4, "maxSpeechiness": 0.1 } --- #### Musical Properties Filters 🎹 | Property | Type | Options | Description | |----------|------|---------|-------------| | key | Integer | 0-11 | Musical key (0=C, 1=C#/Db, 2=D, ..., 11=B) | | mode | Integer | 0 or 1 | 0 = Minor, 1 = Major | | timeSignature | Integer | 3, 4, 5, 6, 7 | Beats per measure (4 = 4/4 time) | Example: Uplifting Major Key Tracks json { "mode": 1, "minValence": 0.7, "key": 0 } --- #### Advanced Filters 🔧 | Filter | Type | Description | |--------|------|-------------| | albumType | Select | any, album, single, compilation | | markets | Array | ISO country codes (e.g., ["US", "GB", "CA"]) | | artistGenres | Array | Filter by artist genres (e.g., ["rock", "pop"]) | | isrc | String | International Standard Recording Code | --- ### 📊 Output & Sorting | Parameter | Type | Options | Description | |-----------|------|---------|-------------| | sortBy | Select | popularity_desc, popularity_asc, duration_desc, duration_asc, release_date_desc, release_date_asc, name_asc, name_desc | Sort results | --- ## 📦 Output Data Structure ### 🎵 Core Track Information json { "track_id": "3n3Ppam7vgaVa1iaRUc9Lp", "track_title": "Mr. Brightside", "track_url": "https://open.spotify.com/track/3n3Ppam7vgaVa1iaRUc9Lp", "track_uri": "spotify:track:3n3Ppam7vgaVa1iaRUc9Lp", "popularity": 87, "explicit": false, "preview_url": "https://p.scdn.co/mp3-preview/...", "duration": "3:42", "duration_ms": 222200, "duration_seconds": 222 } ### 🎨 Album Information json { "album": "Hot Fuss", "album_id": "6TJmQnO44YE5BtTxH8pop1", "album_type": "album", "album_url": "https://open.spotify.com/album/6TJmQnO44YE5BtTxH8pop1", "total_tracks_in_album": 11, "release_date": "2004-06-15", "release_date_precision": "day", "album_images": { "large": "https://i.scdn.co/image/ab67616d0000b273...", "medium": "https://i.scdn.co/image/ab67616d00001e02...", "small": "https://i.scdn.co/image/ab67616d000048..." } } ### 👤 Artist Information json { "track_creator": "The Killers", "track_artists": ["The Killers"], "artist_id": "0C0XlULifJtAgn6ZNCW2eu", "artist_followers": 8234567, "artist_popularity": 82, "artist_genres": ["modern rock", "rock", "alternative rock"], "artist_profile_pic": "https://i.scdn.co/image/ab6761610000e5eb...", "popular_tracks": [ { "name": "Mr. Brightside", "popularity": 87, "url": "https://open.spotify.com/track/..." } ] } ### 🎼 Audio Features (16 Metrics) json { "audio_features": { "danceability": 0.346, "energy": 0.924, "key": 1, "key_name": "C♯/D♭", "loudness": -4.653, "mode": 1, "mode_name": "Major", "speechiness": 0.0358, "acousticness": 0.00143, "instrumentalness": 0.00686, "liveness": 0.137, "valence": 0.232, "tempo": 148.036, "time_signature": 4 } } ### 🔬 Audio Analysis (Deep Dive) json { "audio_analysis": { "num_bars": 98, "num_beats": 390, "num_sections": 9, "num_segments": 456, "tempo": 148.036, "tempo_confidence": 0.947, "end_of_fade_in": 0.0, "start_of_fade_out": 215.84, "sections": [...] } } ### 🎯 AI Recommendations json { "recommendations": [ { "name": "Somebody Told Me", "artists": ["The Killers"], "popularity": 75, "url": "https://open.spotify.com/track/..." } ] } ### 🌍 Market Intelligence json { "available_markets_count": 87, "available_markets": "US, GB, CA, AU, DE, FR, ...", "restrictions": "No restrictions" } ### 🔢 External Identifiers json { "isrc": "USIR20400274", "ean": "00602498644959", "upc": "00602498644959" } --- ## 💡 Use Cases & Examples ### 1️⃣ Create a Workout Playlist json { "keywords": ["workout", "gym", "fitness"], "minEnergy": 0.8, "minTempo": 140, "maxDuration": 240, "sortBy": "popularity_desc", "maxResults": 50 } --- ## 📊 Performance Metrics | Metric | Value | |--------|-------| | Tracks per minute | 100-150 tracks/min | | API success rate | 99%+ with 5-API fallback | | Data points per track | 100+ fields | | Maximum results | 50 tracks per keyword | | Filter accuracy | 100% precision | | Recommendation quality | Spotify AI-powered | --- ## 🛠️ Troubleshooting ### No results found - Disable hasPreview if enabled (most tracks lack previews) - Relax filter criteria or try different keywords - Check searchFields configuration ### All APIs exhausted - Wait 1 minute and retry (temporary rate limit) - Reduce maxResults per keyword ### Zero results after filtering - Filters successfully removed non-matching tracks - Try relaxing filter values for more results --- Keywords: spotify tracks scraper, spotify data extraction, spotify audio features, music data scraper, spotify api scraper, spotify metadata extractor ### 4. 📋 Scrape Playlists - Entire playlist extraction - Curator information, follower counts - Complete track listings with metadata ### 5. ⚡ Download Music - Fast Mode - 70-80% Success Rate - Quick results - Direct streaming links from YouTube - Best available quality (auto-selected) - Links expire after ~6 hours - Perfect for: Real-time streaming, quick previews ### 6. 🛠️ Download Music - Accurate Mode - 99% Success Rate - Guaranteed results - Downloads + uploads to Apify storage - Full format/quality control - Permanent download links - Perfect for: Archiving, quality control, professional use --- ## 🎛️ Advanced Filtering System ### 🔧 7 Filter Types Available json { "advancedFilters": { "minPopularity": 70, "maxPopularity": 100, "minDurationSeconds": 180, "maxDurationSeconds": 300, "releaseDateFrom": "2023-01-01", "explicitContent": "non_explicit_only", "albumType": "album", "genres": ["rock", "alternative"], "markets": ["US", "GB", "CA"] } } ### 📊 9 Sorting Options - relevance - Default Spotify ranking - popularity_desc - Most popular first - popularity_asc - Least popular first - release_date_desc - Newest releases first - release_date_asc - Oldest releases first - duration_desc - Longest tracks first - duration_asc - Shortest tracks first - name_asc - Alphabetical A-Z - name_desc - Alphabetical Z-A --- ## 🎼 Audio Features Analysis Enable includeAudioFeatures: true for professional music analysis: | Metric | Range | Description | |--------|-------|-------------| | Danceability | 0-1 | How suitable for dancing | | Energy | 0-1 | Intensity and activity level | | Key | 0-11 | Musical key (C, C#, D, etc.) | | Loudness | dB | Overall loudness | | Mode | 0/1 | Major or Minor | | Speechiness | 0-1 | Presence of spoken words | | Acousticness | 0-1 | Acoustic confidence | | Instrumentalness | 0-1 | Vocal content prediction | | Liveness | 0-1 | Audience presence | | Valence | 0-1 | Musical positiveness | | Tempo | BPM | Beats per minute | | Time Signature | 3-7 | Musical meter | Perfect for: Mood playlists, workout music, study tracks, dance music selection --- ## 🎯 Professional Use Cases ### 👨‍💼 Music Industry Professionals - A&R Scouts: Discover new artists with advanced filtering - Playlist Curators: Analyze audio features for perfect sequencing - Record Labels: Archive releases and track market performance - Radio Stations: Build programming with popularity data ### 📊 Data Analysts & Researchers - Market Research: Analyze genre popularity trends - Academic Studies: Music characteristics analysis - Business Intelligence: Artist performance metrics - Content Analysis: Lyrical and musical pattern recognition ### 🎵 Content Creators & DJs - Music Archives: Build personal libraries with metadata - Set Preparation: Analyze BPM and energy levels - Content Migration: Move collections between platforms - Format Conversion: Convert to specific quality requirements ### 🌐 Developers & Integrators - API Integration: Structured data for applications - Database Population: Comprehensive music metadata - Music Apps: Enhanced features with audio analysis - Automation Systems: Batch processing capabilities ---