Docker Hub Scraper by nexgendata

Extract Docker image metadata including total pull counts, available tags with sizes, last update timestamps, description, star counts, and publisher information from Docker Hub at scale. Built for DevOps teams evaluating base images and anyone who needs structured DevOps data without the overhead of building a custom scraper.

What This Actor Does

The Docker Hub Scraper connects to Docker and extracts Docker image metadata including total pull counts, available tags with sizes, last update timestamps, description, star counts, and publisher information from Docker Hub. It handles pagination, rate limiting, and data normalization automatically so you get clean, structured JSON output ready for your database, dashboard, or analytics pipeline. No API keys to manage, no infrastructure to maintain.

Who Uses This

Devops teams evaluating base images, container security analysts auditing image freshness, infrastructure companies tracking adoption of their images, and engineering managers monitoring dependency health. If you need DevOps data at scale without building and maintaining your own extraction pipeline, this actor handles the heavy lifting.

What You Get Back

Each run produces a structured dataset in JSON format. Every record includes all available fields from the source, normalized into a consistent schema. The data is immediately available for export in JSON, CSV, or Excel format, or you can push it directly to your data warehouse via Apify integrations with Google Sheets, Slack, Webhooks, and 50+ other platforms.

How It Compares

Docker Hub API requires authentication and has aggressive rate limits (100 pulls/6 hours for anonymous). No bulk search capability exists in the official API. This actor delivers the same data at $2 per 1,000 images with zero monthly commitment, no API key management, and results available in seconds. Pay only for what you use.

Sample Output

{
  "source": "dockerhub-scraper",
  "data": "Structured DevOps data fields",
  "timestamp": "2024-03-29T12:00:00Z",
  "url": "https://example.com/source"
}

Use Cases

Teams use the Docker Hub Scraper across a range of workflows. Analysts feed the output into business intelligence dashboards for real-time monitoring. Developers integrate it into automated data pipelines that run on daily or weekly schedules. Researchers use bulk exports for large-scale analysis projects. Marketing teams track competitive movements and industry trends. The structured output format means the data slots into virtually any downstream system with minimal transformation.

Pricing: $2 per 1,000 Images

At $2/1K, processing 5,000 images costs $10.00 total. A daily pipeline pulling 500 images runs $1.00/day ($30/month). Compare that to building and maintaining your own scraping infrastructure, which typically costs $500-2,000/month in proxy fees, compute, and engineering time alone.

FAQ

How often can I run this? As often as you need. Schedule runs hourly, daily, or weekly through Apify's built-in scheduler, or trigger runs via API from your own systems.

What format is the output? JSON by default, with one-click export to CSV or Excel. You can also push results directly to Google Sheets, webhooks, or any HTTP endpoint via Apify integrations.

Do I need any API keys? No. The actor handles all authentication and access internally. Just configure your search parameters and run.

Can I integrate this with my existing tools? Yes. Apify supports integrations with Zapier, Make, Google Sheets, Slack, and direct webhook delivery. You can also use the Apify API to pull results programmatically into any system.