# Discogs.com Scraper (`devcake/discogs-com-scraper`) Actor
Scrape Discogs for vinyl records, original pressings, and collector data. Get marketplace prices, matrix numbers, and pressing plant info.
- **URL**: https://apify.com/devcake/discogs-com-scraper.md
- **Developed by:** [devcake](https://apify.com/devcake) (community)
- **Categories:** Other, E-commerce
- **Stats:** 13 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 - Extract Releases, Artists, Labels & Marketplace Data
**API-free Discogs data extraction tool.** Search the world's largest music database for releases, artists, labels, and master recordings - with optional full details including tracklists, credits, marketplace pricing, and pressing information.
> **No API key required** | **Up to 1,000 results per run** | **Export to JSON/CSV/Excel**
---
### What This Tool Does
Discogs is the world's largest **music database and vinyl marketplace** with over **18 million releases**, **9 million artists**, and **2 million labels**. This **Discogs API scraper** extracts structured data using public endpoints - no authentication needed.
#### Perfect For:
- **Record shops** researching catalogs, pricing, and inventory
- **Vinyl collectors** identifying original pressings vs reissues
- **Music producers** hunting for samples and original credits
- **Researchers** building discography datasets
- **Developers** creating music apps or price monitoring tools
- **Marketplace sellers** analyzing demand and competition
---
### Data You Can Extract
The scraper returns comprehensive **Discogs release data** based on your search:
#### Core Release Data
| Field | Description |
|-------|-------------|
| **Title & Artist** | Release name with artist credits |
| **Year & Country** | Release year and country of origin |
| **Genres & Styles** | Music classification (House, Techno, Jazz, etc.) |
| **Labels & Catalog#** | Record label and catalog number |
| **Formats** | Vinyl (12", 7", LP), CD, cassette, digital |
#### Marketplace & Pricing Data
| Field | Description |
|-------|-------------|
| **Lowest Price** | Current lowest marketplace price (USD) |
| **Copies For Sale** | Number of copies available |
| **Want/Have Counts** | Community demand (collectors wanting vs owning) |
#### Collector & Pressing Details
| Field | Description |
|-------|-------------|
| **Barcodes** | UPC and other barcode identifiers |
| **Matrix/Runout** | Etched identifiers for pressing identification |
| **Pressing Plants** | Which plant manufactured the record |
| **Estimated Weight** | Vinyl weight in grams (180g, 140g, etc.) |
#### Credits & Production
| Field | Description |
|-------|-------------|
| **Artist Credits** | Main artists and collaborations |
| **Extra Credits** | Producers, engineers, mixers, writers |
| **Companies** | Record companies, publishers, copyright holders |
#### Audio & Media
| Field | Description |
|-------|-------------|
| **Tracklist** | Full track listing with durations |
| **YouTube Videos** | Linked video previews |
---
### Input Options
#### Required
- **Query** - Artist name, album title, label, or any search term (supports multiple queries)
#### Search Type
- **Type** - `release`, `master`, `artist`, or `label` (default: `release`)
#### Filters
- **Country** - Filter by country (`UK`, `US`, `Japan`, `Germany`, `France`, etc.)
#### Advanced
- **Max Results** - 1 to 1,000 results per run (default: 50)
- **Get Full Details** - Fetch complete details including tracklists, credits, identifiers, and marketplace data (default: enabled)
---
### Why Use This Scraper
| Problem | Solution |
|---------|----------|
| Manual data entry | Automated bulk extraction from Discogs database |
| API registration required | No API key - uses public endpoints |
| Rate limiting issues | Built-in rate limiting respects Discogs limits |
| Pagination complexity | Smart pagination handles large result sets |
| Scattered data | All data in one structured export |
| Pricing research | Marketplace prices and demand data included |
---
### Frequently Asked Questions
#### Is this Discogs scraper free?
Yes. The scraper uses Discogs' free public API. Apify's free tier includes monthly compute time.
#### Do I need a Discogs API key?
**No API key required.** This tool accesses public search endpoints without authentication.
#### How many results can I extract?
Extract up to **1,000 results per run**. For larger datasets, run multiple times with different queries or use country filters.
#### What export formats are available?
Data exports to **JSON** (full structured data), **CSV** (spreadsheet/Excel compatible), and **HTML** tables.
#### Can I search by country?
Yes. Filter by country to find original pressings, regional releases, or imports (UK originals, Japanese pressings, etc.).
#### Does this include marketplace pricing?
Yes. Each release includes the current lowest price and number of copies for sale on Discogs Marketplace.
#### Can I identify original pressings?
Yes. Full details include matrix numbers, pressing plants, barcodes, and estimated weight - key data for identifying specific pressings.
---
### Output Formats
Your scraped **Discogs data** exports in multiple formats:
- **JSON** - Full structured data for developers and applications
- **CSV** - Spreadsheet-compatible for Excel, Google Sheets, analysis
- **HTML** - Human-readable tables
Data pushes directly to your Apify dataset for download, API access, or integration.
---
### Start Scraping Now
1. **Enter your search query** - artist, label, catalog number, or any term
2. **Choose search type** - release, master, artist, or label
3. **Set max results** - up to 1,000 per run
4. **Click Run** - get structured data in seconds
---
Built for vinyl collectors, record shops, music producers, researchers, and developers
# Actor input Schema
## `query` (type: `array`):
Search term to look up on Discogs. For multiple queries, enter as JSON array: ['Beatles', 'Madonna', 'Prince']
## `type` (type: `string`):
What type of content to search for
## `maxResults` (type: `integer`):
Maximum number of results to return per query (1-1000). Total results = maxResults * number of queries.
## `getDetails` (type: `boolean`):
Enrich each result with full details (tracklist, credits, etc.). Increases API calls but provides comprehensive data.
## `country` (type: `string`):
Filter by country of release (e.g., 'UK', 'US', 'Germany', 'Japan')
## `yearMin` (type: `integer`):
Filter: minimum release year
## `yearMax` (type: `integer`):
Filter: maximum release year
## `genre` (type: `string`):
Filter by genre (e.g., 'Electronic', 'Rock', 'Jazz')
## `format` (type: `string`):
Filter by format (e.g., 'Vinyl', 'CD', 'Cassette')
## `label` (type: `string`):
Filter by record label name
## `proxyConfig` (type: `object`):
Use Apify proxies for faster scraping without rate limits. RECOMMENDED: Use Datacenter proxies for best performance. Each request gets a different IP for concurrent scraping.
## Actor input object example
```json
{
"query": [
"Beatles"
],
"type": "release",
"maxResults": 30,
"getDetails": false,
"proxyConfig": {
"useApifyProxy": true,
"apifyProxyGroups": [],
"apifyProxyCountry": ""
}
}
````
# Actor output Schema
## `results` (type: `string`):
All scraped Discogs data with full details including tracklists, credits, marketplace prices, and pressing information
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": [
"Beatles"
],
"proxyConfig": {
"useApifyProxy": true,
"apifyProxyGroups": [],
"apifyProxyCountry": ""
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("devcake/discogs-com-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": ["Beatles"],
"proxyConfig": {
"useApifyProxy": True,
"apifyProxyGroups": [],
"apifyProxyCountry": "",
},
}
# Run the Actor and wait for it to finish
run = client.actor("devcake/discogs-com-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 '{
"query": [
"Beatles"
],
"proxyConfig": {
"useApifyProxy": true,
"apifyProxyGroups": [],
"apifyProxyCountry": ""
}
}' |
apify call devcake/discogs-com-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=devcake/discogs-com-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Discogs.com Scraper",
"description": "Scrape Discogs for vinyl records, original pressings, and collector data. Get marketplace prices, matrix numbers, and pressing plant info.",
"version": "2.1",
"x-build-id": "z2n6hTN9ori3Gd2ux"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/devcake~discogs-com-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-devcake-discogs-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/devcake~discogs-com-scraper/runs": {
"post": {
"operationId": "runs-sync-devcake-discogs-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/devcake~discogs-com-scraper/run-sync": {
"post": {
"operationId": "run-sync-devcake-discogs-com-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"title": "Search Query",
"type": "array",
"description": "Search term to look up on Discogs. For multiple queries, enter as JSON array: ['Beatles', 'Madonna', 'Prince']",
"items": {
"type": "string"
}
},
"type": {
"title": "Search Type",
"enum": [
"release",
"master",
"artist",
"label"
],
"type": "string",
"description": "What type of content to search for",
"default": "release"
},
"maxResults": {
"title": "Maximum Results",
"minimum": 20,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of results to return per query (1-1000). Total results = maxResults * number of queries.",
"default": 30
},
"getDetails": {
"title": "Fetch Full Details",
"type": "boolean",
"description": "Enrich each result with full details (tracklist, credits, etc.). Increases API calls but provides comprehensive data.",
"default": false
},
"country": {
"title": "Country Filter",
"type": "string",
"description": "Filter by country of release (e.g., 'UK', 'US', 'Germany', 'Japan')"
},
"yearMin": {
"title": "Year From",
"minimum": 1900,
"maximum": 2030,
"type": "integer",
"description": "Filter: minimum release year"
},
"yearMax": {
"title": "Year To",
"minimum": 1900,
"maximum": 2030,
"type": "integer",
"description": "Filter: maximum release year"
},
"genre": {
"title": "Genre",
"type": "string",
"description": "Filter by genre (e.g., 'Electronic', 'Rock', 'Jazz')"
},
"format": {
"title": "Format",
"type": "string",
"description": "Filter by format (e.g., 'Vinyl', 'CD', 'Cassette')"
},
"label": {
"title": "Label",
"type": "string",
"description": "Filter by record label name"
},
"proxyConfig": {
"title": "Proxy Configuration",
"type": "object",
"description": "Use Apify proxies for faster scraping without rate limits. RECOMMENDED: Use Datacenter proxies for best performance. Each request gets a different IP for concurrent scraping.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [],
"apifyProxyCountry": ""
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```