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Docker Hub Scraper | Container Image Metadata

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Docker Hub Scraper | Container Image Metadata

Docker Hub Scraper | Container Image Metadata

Scrape Docker Hub repositories for image names, descriptions, pull counts, star ratings, tags, last updated dates and publisher details. Track container popularity, monitor official images and build datasets of the Docker ecosystem for DevOps research and tooling

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ParseForge

ParseForge

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๐Ÿณ Docker Hub Scraper

๐Ÿš€ Export Docker Hub repositories and images in seconds. Search by keyword or list every repo in a namespace. Get pull counts, star counts, descriptions, and categories. No API key needed.

The Docker Hub Scraper pulls live repository data from Docker Hub's public REST API and returns structured records for every image matched by your search or namespace. Each record includes the repository name, namespace, description, pull count, star count, official status, privacy flag, last-updated timestamp, categories, and a direct URL to the image page.

Docker Hub is the world's largest container image registry, hosting over 100,000 public repositories from official maintainers, software vendors, and the open-source community. This Actor makes that data downloadable as CSV, Excel, JSON, or XML in under a minute - no Docker account, no API key, no scraping boilerplate.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
DevOps engineers, platform teams, security researchers, data analysts, OSS maintainers, container consultantsDependency audits, image popularity tracking, namespace monitoring, competitive research, container supply-chain analysis

๐Ÿ“‹ What the Docker Hub Scraper does

Two data-collection modes in a single run:

  • ๐Ÿ” Search mode. Full-text search across all public Docker Hub repositories. Find images by name, technology, or purpose - returns pull counts and star counts sorted by relevance.
  • ๐Ÿ“ฆ Namespace mode. List every public repository owned by a user or organization (e.g. bitnami, library, nginx). Returns richer data including last-updated timestamps and category tags.
  • ๐Ÿ“Š Pagination. Automatically walks all result pages until your maxItems limit is reached.
  • โšก Real-time. Every run fetches live data directly from the Docker Hub v2 API - no cached snapshots.
  • ๐Ÿ”“ No auth required. The public API is used throughout - no Docker Hub account or API key needed.

๐Ÿ’ก Why it matters: Docker Hub has no bulk-export feature. Auditing image popularity, tracking namespace growth, or feeding a container-intelligence dashboard requires either writing your own paginator or scraping by hand. This Actor handles all of that and returns clean, structured JSON on every run.

๐Ÿ“Š Data fields

Each record includes: categories, description, fullName, isOfficial, isPrivate, lastUpdated, name, namespace, pullCount, results, scrapedAt, starCount, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

๐Ÿš€ How to use

  1. Create a free account on Apify (includes $5 credit).
  2. Open the Docker Hub Scraper actor page.
  3. Set searchQuery (e.g. "postgres") or namespace (e.g. "bitnami").
  4. Set maxItems to the number of records you need.
  5. Click Start and wait for the run to finish (typically under 30 seconds for 100 items).
  6. Download results as CSV, Excel, JSON, or XML from the Dataset tab.
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๐Ÿ’ก Pro Tip: browse the complete ParseForge collection to find scrapers for 80+ public data sources - all maintained, all pay-per-result.

This Actor accesses only publicly available Docker Hub data via the official REST API. It is not affiliated with, endorsed by, or connected to Docker, Inc. Docker and Docker Hub are trademarks of Docker, Inc. Use responsibly and in accordance with Docker Hub's terms of service.

๐Ÿ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.