---
license: cc-by-4.0
language:
- en
pretty_name: "Discogs Scraper"
size_categories:
- 10K<n<100K
tags:
- "reapx"
- "web-scraping"
- "open-data"
- "discogs-scraper"
- "discogs"
- "releases"
- "artists"
- "labels"
- "marketplace"
configs:
- config_name: default
  data_files:
  - split: train
    path: discogs-scraper.jsonl
---

![reapX — public sources in, addressable records out](https://reapx.dev/reapx.gif)

# Discogs Scraper

Search the Discogs music database and get one structured row per release, with artist, label, catalogue number, format, genre, collector counts, star rating and live marketplace price and stock.

| | |
| --- | --- |
| Rows in this dataset | 14,776 |
| Fields | 63 |
| Collector runs behind it | 84 |
| Most recent observation | 2026-08-03 |
| Browsable presentation | [https://reapx.dev/data/discogs-scraper/](https://reapx.dev/data/discogs-scraper/) — 656 entity pages |
| Run the collector yourself | [https://apify.com/reapx/discogs-scraper](https://apify.com/reapx/discogs-scraper) |

## What this is

Every row here was returned by a real run of a public collector. Nothing is generated from a
template over a keyword list: a row exists because a run observed it.

A browsable presentation of the subset that carries an addressable `handle` is published as
656 entity pages at [https://reapx.dev/data/discogs-scraper/](https://reapx.dev/data/discogs-scraper/), one page per entity. **This dataset is
the larger of the two** — rows whose payload has no field that can address a page are here and
are not published there.

## Provenance

Each row carries `_run_id` and `_dataset_id`, naming the collector run that produced it, so any
row can be traced back to the run that observed it. Rows observed by more than one run are
deduplicated on content; 3 duplicate observations were collapsed.

## Files

- `discogs-scraper.jsonl` — one JSON object per row, the canonical form
- `discogs-scraper.csv` — the same rows flattened; nested values are JSON-encoded within their cell
  so they round-trip
- `dataset.json` — schema.org `Dataset` metadata

## Loading it

```python
from datasets import load_dataset
ds = load_dataset("reapxdev/discogs-scraper", split="train")
```

## A sample of the published entities

- [1995 epilepsy](https://reapx.dev/data/discogs-scraper/1995-epilepsy/)
- [Barry Can&#x27;t Swim](https://reapx.dev/data/discogs-scraper/barry-can-t-swim/)
- [Cirez D](https://reapx.dev/data/discogs-scraper/cirez-d/)
- [Dub Kult](https://reapx.dev/data/discogs-scraper/dub-kult/)
- [Gene Krupa](https://reapx.dev/data/discogs-scraper/gene-krupa/)
- [Indonesia](https://reapx.dev/data/discogs-scraper/indonesia/)
- [Kroma](https://reapx.dev/data/discogs-scraper/kroma/)
- [Michael Cassette](https://reapx.dev/data/discogs-scraper/michael-cassette/)
- [Pervenche](https://reapx.dev/data/discogs-scraper/pervenche/)
- [Seb Fontaine](https://reapx.dev/data/discogs-scraper/seb-fontaine/)
- [Teddy Wilson Trio](https://reapx.dev/data/discogs-scraper/teddy-wilson-trio/)
- [Tomoki Hirata](https://reapx.dev/data/discogs-scraper/tomoki-hirata/)

## Related

- All sources: <https://reapx.dev/data/> · machine-readable index: <https://reapx.dev/llms.txt>
- The collector is a public Apify Actor; agents reach it through <https://mcp.apify.com>

## Licence

Collected from public sources. This metadata and the published pages are
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); the underlying records remain under
the terms of their originating source.