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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 レコードあたりの項目 JSON · CSV · Excel · API 従量課金
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"]
}
得られるもの

各実行で、型が揃ったきれいなレコードを返します。CRM・スプレッドシート・データベースにそのまま使えます。

  • 結果ごとに 1 レコード、重複排除・正規化済み
  • JSON・CSV・Excel の安定したスキーマ、または Apify API で読み取り
  • クラウドで従量課金。インストールも保守も不要
返される項目
Repo NameRepo UrlShort DescriptionStar CountPull CountIs OfficialIs AutomatedFull DescriptionCategoriesContent TypesLast UpdatedLast ModifiedDate RegisteredStorage Size
出力サンプル

実際の 1 レコード例。受け取る形そのままです。

Repo NameRepo UrlShort DescriptionStar Count
redishttps://hub.docker.com/_/redisRedis is the world’s fastest data…13605
redis/redis-stack-serverhttps://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"]
}

よくある質問

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).

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