π€ Unlock the power of Spotify π§ with our Spotify Tracks Scraper! π Easily extract detailed track info π from Spotify using keywords π or direct track URLs π. Get rich data like track titles π΅, artists π©βπ€, release dates π , duration β±οΈ, popularity π, available markets π, and more!
Welcome to the Spotify Tracks Scraper β your ultimate tool to easily scrape and analyze track-level data from Spotify! Whether you're looking for track details, artist info, album data, or a deep dive into track popularity and related songs, this scraper provides you with clean, structured JSON data from the world's largest music streaming platform.
π With the Spotify Tracks Scraper, you can:
π Multi-Input Flexibility
π§βπ€ Detailed Track Metadata
π΅ Popular Tracks List
β‘ Fast, Efficient JSON Output
Customize the scraperβs behavior with the following JSON format:
1{ 2 "include_available_markets": true, 3 "keywords": [ 4 "love", 5 "rock" 6 ], 7 "maxResults": 1, 8 "searchMode": "both", 9 "track_urls": [ 10 { 11 "url": "https://open.spotify.com/track/3n3Ppam7vgaVa1iaRUc9Lp", 12 "method": "GET" 13 } 14 ] 15}
Parameter | Description |
---|---|
include_available_markets | Include/exclude data about available countries where the track is accessible |
keywords | List of keywords to search for tracks |
maxResults | Max number of tracks to return (recommended max: 10) |
searchMode | Options: keyword , url , or both |
track_urls | List of track URLs to scrape, using the "GET" method |
Hereβs a sample output youβll receive after running the Spotify Tracks Scraper:
1[ 2 { 3 "result_mode": "keyword", 4 "input_keyword": "love", 5 "input_url": "keyword input", 6 "track_title": "Love Somebody", 7 "track_creator": "Morgan Wallen", 8 "track_creator_profile": "https://open.spotify.com/artist/4oUHIQIBe0LHzYfvXNW4QM", 9 "track_cover": "https://i.scdn.co/image/ab67616d0000b2734b86223903ecefaa8df576a4", 10 "track_creation_date": "2024-10-18", 11 "available_markets": "AR, AU, AT, BE, BO, BR, BG, CA, CL, CO, CR, CY, CZ, DK, DO, DE, EC, EE, SV, FI, FR, GR, GT, HN, HK, HU, IS, IE, IT, LV, LT, LU, MY, MT, MX, NL, NZ, NI, NO, PA, PY, PE, PH, PL, PT, SG, SK, ES, SE, CH, TW, TR, UY, US, GB, AD, LI, MC, ID, JP, TH, VN, RO, IL, ZA, SA, AE, BH, QA, OM, KW, EG, MA, DZ, TN, LB, JO, PS, IN, KZ, MD, UA, AL, BA, HR, ME, MK, RS, SI, KR, BD, PK, LK, GH, KE, NG, TZ, UG, AG, AM, BS, BB, BZ, BT, BW, BF, CV, CW, DM, FJ, GM, GE, GD, GW, GY, HT, JM, KI, LS, LR, MW, MV, ML, MH, FM, NA, NR, NE, PW, PG, WS, SM, ST, SN, SC, SL, SB, KN, LC, VC, SR, TL, TO, TT, TV, VU, AZ, BN, BI, KH, CM, TD, KM, GQ, SZ, GA, GN, KG, LA, MO, MR, MN, NP, RW, TG, UZ, ZW, BJ, MG, MU, MZ, AO, CI, DJ, ZM, CD, CG, IQ, LY, TJ, VE, ET, XK", 12 "restrictions": "it has no restriction", 13 "track_url": "https://open.spotify.com/track/7hR22TOX3RorxJPcsz5Wbo", 14 "track_details": { 15 "track_title": "Love Somebody", 16 "track_artists": [ 17 "Morgan Wallen" 18 ], 19 "track_duration": "3m 24s", 20 "tracks_artists_url": [ 21 "https://open.spotify.com/artist/4oUHIQIBe0LHzYfvXNW4QM" 22 ], 23 "popularity": 88, 24 "popular_tracks": [ 25 { 26 "name": "I Had Some Help (Feat. Morgan Wallen)", 27 "url": "https://open.spotify.com/track/5IZXB5IKAD2qlvTPJYDCFB" 28 }, 29 { 30 "name": "Love Somebody", 31 "url": "https://open.spotify.com/track/7hR22TOX3RorxJPcsz5Wbo" 32 }, 33 { 34 "name": "I'm The Problem", 35 "url": "https://open.spotify.com/track/3HlWVKwU0JqJXqJK9DWHnZ" 36 }, 37 { 38 "name": "Just In Case", 39 "url": "https://open.spotify.com/track/02Ya2Q08bBKFqUJvjmyRXK" 40 }, 41 { 42 "name": "Last Night", 43 "url": "https://open.spotify.com/track/7K3BhSpAxZBznislvUMVtn" 44 } 45 ], 46 "album": "Love Somebody", 47 "artist_profile_pic": "https://i.scdn.co/image/ab6761610000e5eb4245b1652fcc23f2b76ccd07" 48 } 49 } 50]
1οΈβ£ Choose your input method
2οΈβ£ Run the scraper
3οΈβ£ Review your results
Need a custom scraper or want to scale your data extraction beyond standard limits?
π© Contact me: scrapearchitect@gmail.com
Unlock the power of Spotify data! π Whether you're building music apps, analyzing tracks, or creating playlists, Spotify Tracks Scraper will supercharge your projects! π½β¨
π Deploy and start exploring today! πΆ
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!