🎵 Discogs Scraper - Music Releases, Artists & Labels

🚀 Collect music releases, artists, and labels from the world's largest music database. Get titles, years, genres, styles, formats, labels, barcodes, and community data. Filter by type, year, country, genre, style, and format.

🕒 Last updated: 2026-04-23

Whether you are a record collector tracking vinyl releases, a music researcher analyzing label catalogs, or a retailer building inventory databases, this tool makes it easy to collect structured music data from the world's largest music database and marketplace.

The Discogs Scraper delivers release titles, years, countries, labels, catalog numbers, barcodes, genres, styles, format details, cover art URLs, and community have/want statistics. Search for releases, artists, or labels with powerful filters for year, country, genre, style, and format.

Target Audience	Record collectors, record stores, music researchers, music journalists, app developers, label managers
Primary Use Cases	Collection tracking, inventory building, discography research, market analysis, music discovery tools, catalog monitoring

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📋 What Does It Do

• Collects release titles, years, countries, labels, catalog numbers, and barcodes
• Searches for releases, artists, or labels across all genres and decades
• Filters by genre (Rock, Jazz, Electronic) and sub-style (Grunge, Bebop, Techno)
• Filters by format (Vinyl, CD, Cassette, Digital) and year range
• Gets album cover art URLs for every release
• Includes community have/want statistics showing collector demand

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🎬 How to Use - Full Demo

🚧 Demo video coming soon.

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⚙️ Input

Field	Type	Description	Default
Max Items	integer	Free users: limited to 10 items. Paid users: up to 1,000,000	10
Search Query	string	Search for artists, albums, or labels	pink floyd
Type	string	Search for releases, artists, or labels	release
Year	string	Filter by year or year range (e.g., 1991 or 1990-1995)	-
Country	string	Filter by country (e.g., US, UK, Germany)	-
Genre	string	Filter by genre (e.g., Rock, Jazz, Electronic)	-
Style	string	Filter by sub-style (e.g., Grunge, Bebop, Techno)	-
Format	string	Filter by format (e.g., Vinyl, CD, Cassette)	-

Example 1:

{
    "query": "pink floyd",
    "maxItems": 50,
    "type": "release",
    "genre": "Rock",
    "format": "Vinyl"
}

Example 2:

{
    "query": "blue note",
    "type": "label",
    "maxItems": 20
}

⚠️ Community have/want numbers update dynamically. High want-to-have ratios often indicate rare or sought-after pressings.

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📊 Output

🧾 Schema: id, type, title, year, country, format, label, catalogNumber, barcode, genre, style, uri, coverImage, communityHave, communityWant, scrapedAt

📦 Sample 1:

{
    "id": 1124115,
    "type": "release",
    "title": "Pink Floyd - The Dark Side Of The Moon",
    "year": "1973",
    "country": "US",
    "format": ["Vinyl", "LP", "Album"],
    "label": ["Harvest"],
    "catalogNumber": "SMAS-11163",
    "genre": ["Rock"],
    "style": ["Prog Rock", "Classic Rock"],
    "uri": "https://www.discogs.com/release/1124115",
    "communityHave": 15000,
    "communityWant": 5000,
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

📦 Sample 2:

{
    "id": 2567890,
    "type": "release",
    "title": "Miles Davis - Kind Of Blue",
    "year": "1959",
    "country": "US",
    "format": ["Vinyl", "LP", "Album"],
    "label": ["Columbia"],
    "catalogNumber": "CL 1355",
    "genre": ["Jazz"],
    "style": ["Modal", "Hard Bop"],
    "uri": "https://www.discogs.com/release/2567890",
    "communityHave": 22000,
    "communityWant": 3500,
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

📦 Sample 3:

{
    "id": 3456789,
    "type": "release",
    "title": "Daft Punk - Discovery",
    "year": "2001",
    "country": "France",
    "format": ["Vinyl", "LP", "Album"],
    "label": ["Virgin"],
    "catalogNumber": "724381013618",
    "genre": ["Electronic"],
    "style": ["House", "Disco"],
    "uri": "https://www.discogs.com/release/3456789",
    "communityHave": 18000,
    "communityWant": 6000,
    "scrapedAt": "2026-04-09T12:00:00.000Z"
}

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✨ Why Choose This Tool?

Feature	Details
World's largest music database	Over 16 million releases cataloged by the Discogs community
Three search types	Find releases, artists, or labels in a single tool
6 filter dimensions	Year, country, genre, style, format, and search query
Community statistics	See how many collectors have or want each release
Cover art	Album cover image URLs for every release
Barcode data	Product barcodes for inventory management
All formats covered	Vinyl, CD, Cassette, Digital, and more

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📈 How It Compares

Capability	This Tool	Other Solutions
Batch collection	Up to 1,000,000 releases per run	Browse one at a time
Multiple filters	Genre, style, year, country, format	Limited search
Community stats	Have/want counts included	Click each release
Structured output	JSON, CSV, Excel	Web pages only
Barcode data	Included automatically	Buried in details
Automation	Scheduled daily/weekly runs	Manual visits required

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🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Tool - Search for "Discogs Scraper" in the Apify Store
3. Set Input - Configure your search filters using the simple form
4. Run It - Click "Start" and let it collect your data
5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

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💼 Business Use Cases

Audience	How They Use It
Record Collectors	Track rare vinyl releases, monitor community demand, and discover new additions across genres and decades
Record Stores	Build inventory databases with catalog numbers, barcodes, and demand signals for purchasing decisions
Music Researchers	Analyze release trends by genre, decade, country, and format for academic or industry publications
Label Managers	Monitor your catalog presence, collector interest, and community engagement across all your releases

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

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🔌 Automating Your Workflow

Schedule this tool to run daily, weekly, or monthly through the Apify platform. Set it and forget it. Your data will be waiting in your dataset every time. Combine with webhooks to trigger downstream actions whenever a run completes.

🔌 Integrate with Your Favorite Apps

• Make - Build automated workflows
• Zapier - Connect 5,000+ apps
• Slack - Get instant notifications
• Airbyte - Sync to data warehouses
• GitHub - Version control integration
• Google Drive - Export to spreadsheets

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🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify documentation for platform guides
• Contact us at Tally contact form

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or connected to Discogs or Zink Media, Inc. It accesses only publicly available data.