Discogs Scraper

Discogs Scraper

Scrape Discogs releases, artists, and labels by search query, up to a million per run. Each record comes with its title, year, country, genre, style, and format. No login or API key. Export to CSV, JSON, Excel, or XML.

Discogs is the largest music database and marketplace, but its official API needs a token and rate-limits you. This reads the public search results directly, filtered by year, country, genre, style, or format, and returns each match in one fixed schema.

Who uses it	What they scrape Discogs for
Music collectors	Build a catalog of releases by artist, label, or genre
Record store owners	Monitor new releases and reissues in their niche
Market researchers	Analyze genre and style trends over time
Data journalists	Compile discographies for investigative stories
App developers	Populate a music discovery app with structured data

What it does

This Actor collects Discogs releases, artists, or labels by search query, and returns each one as a flat row.

• 🔍 Search by query: type an artist, release, or label name, and the Actor finds all matching records.
• 🎚️ Filter as you go: narrow results by year, country, genre, style, or format before they reach your dataset.
• 📦 Bulk export: collect up to a million records per run and export to CSV, JSON, Excel, or XML.
• 🧩 Fixed schema: every record has the same fields, so you can merge runs without cleaning.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Discogs data

📀 Build a collector's catalog.

A vinyl collector searches for 'pink floyd' and filters by format 'Vinyl' to get every LP, single, and box set with year and country.

🏪 Stock a record store.

A store owner searches for 'jazz' and filters by genre 'Jazz' and year '1950-1970' to find classic titles worth stocking.

📈 Track genre trends.

A market researcher searches for 'electronic' and filters by style 'Techno' to see how many releases came out each year.

🗞️ Compile a discography.

A journalist searches for 'beatles' and filters by type 'release' to list every album and single for a feature.

🎵 Power a music app.

A developer searches for 'indie' and filters by country 'US' to seed a recommendation engine with structured data.

Why choose this scraper

	What you get
No API key	Reads public Discogs search results directly, no token or registration
Up to 1M records	Collect a million releases, artists, or labels in a single run
Rich filters	Filter by year, country, genre, style, and format
Structured output	Flat rows with consistent fields for easy analysis

How it compares

This Actor focuses on the Discogs database search results, while the competitors below also scrape marketplace listings and seller data.

Feature	ParseForge	Discogs.com Scraper (11 users)	Discogs.com Scraper (20 users)
Search by artist, release, or label	Yes	Not listed	Not listed
Filter by year, country, genre, style, format	Yes	Not listed	Not listed
Marketplace prices and seller info	Not listed	Yes	Yes
Matrix numbers and pressing plant info	Not listed	Not listed	Yes
Up to 1,000,000 records per run	Yes	Not listed	Not listed

Configure the run

Drive the Actor from a search query and a resource type, and filters run as each record is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10,
  "query": "pink floyd",
  "type": "release"
}

A larger pull:

{
  "maxItems": 200,
  "query": "pink floyd",
  "type": "release"
}

Pricing

Pay-per-result: $0.0055 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.55
1,000 results	$5.50
10,000 results	$55.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Discogs Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Discogs through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/discogs-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Make sure your query is spelled correctly and that you have selected the right type. Remove filters one by one to see which one is too restrictive.

Why does the run stop before maxItems?

The Actor stops when there are no more results matching your query and filters. Try a broader query or remove filters.

Why are some fields empty?

Not all Discogs records have every field filled in. Empty fields are normal and will appear as null or blank in your dataset.

Can I get more than 1,000,000 records?

The maximum is 1,000,000 per run. If you need more, split your query into smaller chunks or run multiple times with different filters.

Why is the run slow?

Discogs may rate-limit requests. The Actor handles retries automatically, but large queries can take time. Consider reducing maxItems or adding filters.

FAQ

Question	Answer
Do I need a Discogs API token?	No. This Actor reads the public Discogs search pages directly, so no token or registration is required.
What can I search for?	You can search for any artist, release, or label name. The Actor will return all matching records of the type you select.
Can I filter by year or genre?	Yes. Use the year, country, genre, style, and format filters to narrow results before they are saved.
How many records can I get in one run?	You can set maxItems up to 1,000,000. The Actor will stop when it reaches that number or runs out of results.
What format is the output?	The Actor returns a flat JSON array. You can export it to CSV, JSON, Excel, or XML from the Apify platform.
Does it scrape marketplace prices?	No, this Actor focuses on the Discogs database search results, not the marketplace listings. It returns metadata like title, year, country, genre, style, and format.
Can I search for a label?	Yes, set the type to 'label' and enter the label name in the query field.
Is it legal to scrape Discogs?	You should review Discogs' terms of service and respect their robots.txt. This Actor only accesses publicly available pages.
Can I run it on a schedule?	Yes, you can schedule the Actor to run daily, weekly, or at any interval to keep your dataset up to date.
What if I get no results?	Check your query spelling and filters. Try a broader query or remove some filters to see if results appear.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Discogs. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.