# Docker Hub Container & Cloud-Native DevOps Publisher Leads (`zinjaink/docker-hub-container-and-devops-publisher-leads`) Actor

Extract cloud-native software vendors, AI container publishers, and DevOps infrastructure teams from the Docker Hub Registry API with pull counts, star ratings, and namespace metadata.

- **URL**: https://apify.com/zinjaink/docker-hub-container-and-devops-publisher-leads.md
- **Developed by:** [Daniel Thairu](https://apify.com/zinjaink) (community)
- **Categories:** Lead generation, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $18.00 / 1,000 docker hub container & devops publisher lead scrapers

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Docker Hub Container & Cloud-Native DevOps Publisher Leads

Extract cloud-native software vendors, AI container publishers, and DevOps infrastructure teams from the Docker Hub Registry API with pull counts, star ratings, and namespace metadata.

Built on a **pure HTTP `256 MB` architecture** with zero headless browser overhead—extracting verified B2B leads in **under 2 seconds**.

***

### Why Use This Actor for B2B Lead Generation?

- **Cloud-Native & Self-Hosted Software Signals:** Discover DevOps, database, AI server, and observability vendors distributing containerized software on Docker Hub.
- **Pull Velocity & Community Star Counts:** Rank container publishers by total pull_count, star_count, official image status, and automated build pipelines.
- **Zero-Configuration Defaults:** Click **Start** with default settings to immediately extract verified leads, or customize filters for targeted territory and vertical prospecting.
- **Native Automation Ready:** Designed for scheduled daily/weekly pipelines in **n8n**, **Make**, **Clay**, and **Zapier**.

***

### Downstream Website & Email Enrichment

Pair this Actor with [**B2B Company Website, Email & Social Media Enricher**](https://apify.com/zinjaink/b2b-company-enricher) or [**B2B Lead Discovery & Website Enrichment Master Pipeline**](https://apify.com/zinjaink/b2b-lead-enrichment-master-pipeline) to automatically crawl extracted corporate domains for decoded Cloudflare emails, phone numbers, LinkedIn company pages, and tech stack fingerprints.

***

### Transparent Pay-Per-Event Pricing

- **Primary Billing Event:** `docker-publisher-extracted` (**$0.005 per lead** / **$5.00 per 1,000 leads**)
- **Free Tier Preview:** Non-paying users can preview up to **25 verified leads per run** to validate data quality before upgrading.

# Actor input Schema

## `searchQuery` (type: `string`):

Keyword to search Docker Hub (e.g., 'mcp', 'postgres', 'vector', 'agent', 'analytics', 'gateway').

## `minPulls` (type: `integer`):

Minimum number of Docker Hub pulls.

## `maxItems` (type: `integer`):

Maximum number of Docker Hub publisher leads to return.

## Actor input object example

```json
{
  "searchQuery": "mcp",
  "minPulls": 100,
  "maxItems": 25
}
```

# Actor output Schema

## `leads` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "mcp"
};

// Run the Actor and wait for it to finish
const run = await client.actor("zinjaink/docker-hub-container-and-devops-publisher-leads").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchQuery": "mcp" }

# Run the Actor and wait for it to finish
run = client.actor("zinjaink/docker-hub-container-and-devops-publisher-leads").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "mcp"
}' |
apify call zinjaink/docker-hub-container-and-devops-publisher-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zinjaink/docker-hub-container-and-devops-publisher-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Osi6GsiTESq9dhDn3/builds/LhV7sdaZByQkpTOYS/openapi.json