🐳 Docker Hub Scraper

Search Docker Hub for container images by keyword and get clean, structured data — name, namespace, description, stars, pull count, official/verified flags and URL. Powered by Docker Hub's public search API, so it's fast and reliable: no browser, no login, no API key.

Built for DevOps research, image discovery, security/supply-chain analysis and building image catalogs. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the Docker Hub Scraper?

Give it keywords (e.g. "nginx", "postgres") and it returns matching images as structured rows, sorted by relevance — with stars and pull counts so you can gauge popularity and trust.

What data does it extract?

• Name and namespace (owner)
• Description
• Stars and pull count
• Official and automated flags
• Image URL on Docker Hub

⬇️ Input

Field	Type	Description
searchTerms	array	Keywords to search, e.g. nginx.
maxPerTerm	integer	Max images per term. Default 30.

Example input

{
  "searchTerms": ["postgres", "redis"],
  "maxPerTerm": 50
}

⬆️ Output

One record per image:

{
  "name": "library/nginx",
  "namespace": "library",
  "image": "nginx",
  "description": "Official build of Nginx.",
  "stars": 20150,
  "pulls": 10000000000,
  "is_official": true,
  "is_automated": false,
  "url": "https://hub.docker.com/_/nginx",
  "query": "nginx"
}

💡 Use cases

• 🔧 DevOps research — find the most popular and trusted images.
• 🔎 Image discovery — surface alternatives for a tool.
• 🛡️ Supply-chain analysis — flag unofficial or low-trust images.
• 🤖 LLM / app pipelines — feed structured image metadata into your tools.

❓ FAQ

Do I need an API key or login? No — it uses Docker Hub's public search API.

Can I search multiple terms? Yes — pass several in searchTerms.

Does it include pull counts? Yes — plus stars and the official flag.

How can I tell official images? The is_official flag marks them.

How many can I get? Set maxPerTerm — it paginates automatically.

How does pricing work? Pay per image returned. No subscription.

Is it legal? It uses Docker Hub's public search API. Use responsibly and within Docker's terms.

⚙️ How it works

The scraper calls Docker Hub's search API directly and returns clean rows — no browser and no key. It paginates through results, de-duplicating as it goes, and normalizes each image into consistent fields. Runs are fast and dependable, which is why the actor keeps passing its daily health check. The same input shape works for a quick top-10 or a deep multi-term sweep — only maxPerTerm changes.

👥 Who uses Docker Hub data?

Image data is valuable to DevOps engineers, platform teams, security analysts and founders. An engineer compares images before adopting one; a security team audits which images are official and trusted; an analyst tracks the popularity of tools by pulls; a product feeds structured image metadata into a dashboard. Because every record is plain JSON with consistent fields, it drops straight into a spreadsheet, database, BI tool or LLM pipeline with no custom parsing.

📤 Export, schedule & integrate

Every run is saved to a dataset you can export to JSON, CSV, Excel, XML or RSS, or pull through the Apify API. Wire it into Make, Zapier, n8n, Google Sheets, Slack or your own database, run it on a schedule (hourly, daily or weekly) to keep your data fresh, and call it from AI agents through the Apify MCP server.

💡 Tips for best results

• Search a tool name to compare official vs community images.
• Sort by stars/pulls in your spreadsheet to rank trust and popularity.
• Schedule recurring runs and diff the output to track image growth.
• Combine several related terms in one run for a category overview.

❓ More FAQ

How fresh is the data? It is fetched live on each run — schedule runs to keep it current.

Can I run it automatically? Yes — use Apify Schedules (cron).

Are duplicates removed? Yes — images are de-duplicated within each run by name.

Which export formats? JSON, CSV, Excel, XML and RSS, plus the Apify API.

Can AI agents use it? Yes — via the Apify API and MCP server.

🔗 You might also like

• GitHub Repository Scraper — repos, stars & topics.
• PyPI Package Scraper — Python package data.
• Hugging Face Models Scraper — AI/ML models.

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Keywords: docker hub scraper, dockerhub api, docker images, container images, devops research, image discovery, docker stars, docker pulls, official images, supply chain, container registry, docker data, image catalog, devops tools