# Discogs Scraper (`noximilian/discogs-scraper`) Actor

Scrape Discogs music database — fetch releases, artists, labels, master versions, and community stats. Search the Discogs database by query, genre, format, year, and country. Track vinyl/CD prices and rarity data.

- **URL**: https://apify.com/noximilian/discogs-scraper.md
- **Developed by:** [Noximilian](https://apify.com/noximilian) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Discogs Scraper

Scrape the Discogs music database via the public Discogs API. No auth required for most endpoints.

### Features

- **Release details**: Fetch full release data (tracklist, labels, genres, formats, images, artists)
- **Artist profiles**: Fetch artist info + their full release discography
- **Label profiles**: Fetch label info + releases on that label
- **Master releases**: Fetch the canonical master release + all versions (pressings, reissues, variants)
- **Community stats**: Fetch ratings, number of users with release in collection/wantlist
- **Database search**: Search by query, genre, format, year, country, resource type

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| mode | string | search | release, artist, label, search, master, stats |
| releaseId | int | — | Discogs release ID |
| artistId | int | — | Discogs artist ID |
| labelId | int | — | Discogs label ID |
| masterId | int | — | Discogs master release ID |
| query | string | — | Search query |
| resourceType | string | — | Filter: release, artist, label, master |
| limit | int | 50 | Max results |

### API

- Discogs public API (`https://api.discogs.com/`)
- No auth required for public endpoints
- Rate limit: 25 req/min (anonymous), 60 req/min (with token)
- Marketplace listings require a Discogs user token

### Use cases

- Vinyl/CD price tracking and market research
- Discography extraction for music databases
- Rarity and collection data analysis
- Label catalog scraping
- Release variant comparison (master versions)

# Actor input Schema

## `mode` (type: `string`):

release: fetch release details. artist: fetch artist + releases. label: fetch label + releases. search: search database. master: fetch master + versions. stats: fetch community stats.

## `releaseId` (type: `integer`):

Discogs release ID (release, stats modes).

## `artistId` (type: `integer`):

Discogs artist ID (artist mode).

## `labelId` (type: `integer`):

Discogs label ID (label mode).

## `masterId` (type: `integer`):

Discogs master release ID (master mode).

## `query` (type: `string`):

Database search query (search mode).

## `resourceType` (type: `string`):

Filter search by resource type (search mode, optional).

## `limit` (type: `integer`):

Maximum number of results to return.

## Actor input object example

```json
{
  "mode": "search",
  "resourceType": "",
  "limit": 50
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("noximilian/discogs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("noximilian/discogs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call noximilian/discogs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=noximilian/discogs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9UlQw0Z3wF1HhRW3F/builds/UCG71uaJwlAtQZoz1/openapi.json