# Discogs Vinyl & Music Scraper (`sashaebashu/discogs-scraper`) Actor

Scrape Discogs releases — or pull an artist's full discography and a label's whole catalog — with demand (have/want), genres, styles, formats, country, year and optional marketplace prices. For collectors, dealers and crate-diggers.

- **URL**: https://apify.com/sashaebashu/discogs-scraper.md
- **Developed by:** [Sasha Ebashu](https://apify.com/sashaebashu) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.

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 Vinyl & Music Scraper

Scrape **Discogs** by search **or by artist / label** — with **collector demand (have / want), genres, styles, formats, labels, year, country** and optional **marketplace prices**. Built for **vinyl collectors, record dealers and crate-diggers**.

No login required — reads Discogs' public API. A free token is optional (only raises the rate limit).

### What it does

Give it search terms (and optional filters) and it returns matching releases, normalized:

`title`, `year`, `format`, `genre`, `style`, `country`, `label`, `catno`, `have`, `want`, `demandRatio`, `masterId`, `barcode`, `coverImage`, `url` — plus `lowestPrice` and `numForSale` when price enrichment is on.

`demandRatio` = want ÷ have. Above 1 means more collectors want it than own it — a scarcity / demand signal.

### Use cases

- **Find in-demand records** — sort by `demandRatio` to spot what's hot and scarce.
- **Pricing & flipping** — turn on `includePrice` for the lowest marketplace price and how many copies are for sale.
- **Full discography / label catalog** — give an artist or label and pull their entire back catalogue.
- **Collection valuation** — match your wantlist against current demand and prices.

### Input

| Field | Description |
|---|---|
| `queries` | Search terms, e.g. `Pink Floyd`, `Aphex Twin`. Each scraped separately. |
| `type` | Search type: `release`, `master`, `artist` or `label`. |
| `artists` | Artist names, Discogs artist URLs (`discogs.com/artist/3840-Radiohead`) or ids — pulls the full discography. |
| `labels` | Label names, Discogs label URLs (`discogs.com/label/23528-Warp-Records`) or ids — pulls the full catalog. |
| `maxPerEntity` | How many releases to collect per artist / label (default 100). |
| `genre` / `style` / `year` / `format` / `country` | Optional search filters. |
| `includePrice` | Enrich releases with lowest marketplace price + copies for sale (slower). |
| `discogsToken` | Optional free token — raises the rate limit for big/price-enriched runs. |
| `maxItemsPerQuery` / `maxItems` | Caps. |

You can use search, artists and labels together in one run.

### Output

One row per release with the fields above. Export to JSON, CSV, Excel or Google Sheets.

### Notes

Discogs rate-limits the API (≈25 requests/min per IP without a token, 60 with). The actor uses Apify Proxy to rotate IPs and backs off on rate limits; for large price-enriched runs, add a free token from discogs.com/settings/developers.

# Actor input Schema

## `queries` (type: `array`):

Search terms, e.g. "Pink Floyd", "Aphex Twin Selected Ambient Works". Each is scraped separately.

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

What to search for.

## `artists` (type: `array`):

Artist names, Discogs artist URLs (discogs.com/artist/3840-Radiohead) or ids — the actor pulls that artist's full discography. Use maxPerEntity to cap.

## `labels` (type: `array`):

Label names, Discogs label URLs (discogs.com/label/23528-Warp-Records) or ids — the actor pulls that label's full catalog. Use maxPerEntity to cap.

## `maxPerEntity` (type: `integer`):

How many releases to collect from each artist or label in discography mode.

## `genre` (type: `string`):

Filter by genre, e.g. Electronic, Rock, Jazz, Hip Hop.

## `style` (type: `string`):

Filter by style, e.g. House, Ambient, Synth-pop.

## `year` (type: `string`):

Filter by release year, e.g. 1973.

## `format` (type: `string`):

Filter by format, e.g. Vinyl, CD, Cassette.

## `country` (type: `string`):

Filter by country of release, e.g. US, UK, Germany.

## `includePrice` (type: `boolean`):

Enrich each release with the lowest marketplace price and the number of copies for sale. Slower (one extra request per release) and applies to release type only.

## `discogsToken` (type: `string`):

Optional free personal access token from discogs.com/settings/developers. Not required, but raises the API rate limit (25 → 60 requests/min) for large or price-enriched runs.

## `maxItemsPerQuery` (type: `integer`):

Cap results collected per search query.

## `maxItems` (type: `integer`):

Global cap across all queries (0 = unlimited).

## `maxConcurrency` (type: `integer`):

How many queries (and price lookups) to run in parallel. Keep low to respect Discogs rate limits.

## `proxyConfiguration` (type: `object`):

Apify Proxy (datacenter) rotates IPs to ease Discogs rate limits.

## Actor input object example

```json
{
  "queries": [
    "Pink Floyd"
  ],
  "type": "release",
  "artists": [],
  "labels": [],
  "maxPerEntity": 100,
  "genre": "",
  "style": "",
  "year": "",
  "format": "",
  "country": "",
  "includePrice": false,
  "maxItemsPerQuery": 200,
  "maxItems": 0,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "queries": [
        "Pink Floyd"
    ],
    "artists": [],
    "labels": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("sashaebashu/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 = {
    "queries": ["Pink Floyd"],
    "artists": [],
    "labels": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("sashaebashu/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 '{
  "queries": [
    "Pink Floyd"
  ],
  "artists": [],
  "labels": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call sashaebashu/discogs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/gruaGsIoBo0uhaE4R/builds/RCZ9rr1bGeiXqhQlo/openapi.json