---
license: cc-by-4.0
language:
- en
pretty_name: "Docker Hub Scraper \u00b7 Images, Tags, Pulls & Publishers"
size_categories:
- 1K<n<10K
tags:
- "reapx"
- "web-scraping"
- "open-data"
- "docker-hub-scraper"
- "docker"
- "images"
- "tags"
- "pulls"
- "publishers"
configs:
- config_name: default
  data_files:
  - split: train
    path: docker-hub-scraper.jsonl
---

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

# Docker Hub Scraper · Images, Tags, Pulls & Publishers

Scrape Docker Hub container images, tags, pull counts, star counts, publishers, official vs community status, and categories.

| | |
| --- | --- |
| Rows in this dataset | 2,843 |
| Fields | 15 |
| Collector runs behind it | 50 |
| Most recent observation | 2026-08-03 |

## 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.

## 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; 4 duplicate observations were collapsed.

## Files

- `docker-hub-scraper.jsonl` — one JSON object per row, the canonical form
- `docker-hub-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/docker-hub-scraper", split="train")
```

## 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.