🎵 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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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Discogs Scraper - Music Releases, Artists & Labels (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Discogs Scraper - Music Releases, Artists & Labels page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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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

💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Discogs Scraper - Music Releases, Artists & Labels and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Discogs Scraper - Music Releases, Artists & Labels regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Discogs Scraper - Music Releases, Artists & Labels at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Discogs Scraper - Music Releases, Artists & Labels

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Discogs Scraper - Music Releases, Artists & Labels on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Discogs Scraper - Music Releases, Artists & Labels?

Yes. Discogs Scraper - Music Releases, Artists & Labels only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 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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🔌 Integrate with any app

Discogs Scraper - Music Releases, Artists & Labels connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

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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.