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Docker Hub Images Scraper - Stars, Pulls & Descriptions

Scrape Docker Hub container images by keyword with star counts, pull counts, description, owner and official/automated flags. Export to JSON, CSV or Excel.

21 每条记录的字段 JSON · CSV · Excel · API 按用量付费

在 Apify 运行定制爬虫

dockerhub-images-scraper.json 200 OK

{
  "repoName": "redis",
  "repoUrl": "https://hub.docker.com/_/redis",
  "shortDescription": "Redis is the world’s fastest data platform for…",
  "starCount": 13605,
  "pullCount": 11013740768,
  "isOfficial": true,
  "isAutomated": false,
  "fullDescription": "# Quick reference\n\n-\t**Maintained by**:  \n\t[Re…",
  "categories": ["Databases & storage"]
}

你会得到什么

每次运行都返回干净、带类型的记录，可直接用于你的 CRM、表格或数据库。

每个结果对应一条干净记录，已去重并规范化
JSON、CSV 或 Excel 的稳定结构，也可通过 Apify API 读取
在云端按用量付费，无需安装或维护

返回的字段

Repo NameRepo UrlShort DescriptionStar CountPull CountIs OfficialIs AutomatedFull DescriptionCategoriesContent TypesLast UpdatedLast ModifiedDate RegisteredStorage Size

示例输出

一条真实的示例记录，正是你收到的结构。

Repo Name	Repo Url	Short Description	Star Count
redis	https://hub.docker.com/_/redis	Redis is the world’s fastest data…	13605
redis/redis-stack-server	https://hub.docker.com/r/redis/re…	redis-stack-server installs a Red…	104

GET /dockerhub-images-scraper

{
  "repoName": "redis",
  "repoUrl": "https://hub.docker.com/_/redis",
  "shortDescription": "Redis is the world’s fastest data platform for…",
  "starCount": 13605,
  "pullCount": 11013740768,
  "isOfficial": true,
  "isAutomated": false,
  "fullDescription": "# Quick reference\n\n-\t**Maintained by**:  \n\t[Re…",
  "categories": ["Databases & storage"]
}

示例用例

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常见问题

Can I tell official images apart?

Yes. Each record includes an official flag so you can filter to official images only.

Which fields are numeric?

Star count and pull count are parsed as numbers so you can sort and filter directly.

Can I collect more than one page?

Yes. Set Max Items higher and the scraper pages through the results for you.

How fresh is the data?

Stars and pull counts are read live at run time, so each record reflects the moment of the run (see observedAt).

你准备好，它就就绪。

现在就在 Apify 上运行这个爬虫，或让我们按你的确切需求定制一个。

在 Apify 运行定制爬虫