# Dog Breeds Scraper - Breed Images & Data (`lulzasaur/dogapi-scraper`) Actor

Scrape dog breed data and images. Get all breeds with sub-breeds, random dog images, or complete image galleries for specific breeds.

- **URL**: https://apify.com/lulzasaur/dogapi-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Dog Breeds Scraper

Scrape dog breed data and images from the Dog CEO API. Get all breeds with sub-breeds, random dog images, or complete image galleries for specific breeds.

### Features

- **3 modes**: List all breeds, get random images, or browse breed-specific galleries
- **Sub-breed support**: See all sub-breeds for each main breed (e.g. poodle: standard, miniature, toy)
- **Sample images**: Breeds mode includes a sample image and total image count per breed
- **Breed parsing**: Random mode auto-detects breed name from image URL
- **Configurable**: Control image count and result limits

### Output Fields

#### Breeds Mode

| Field | Description |
|-------|-------------|
| `breed` | Breed name |
| `subBreeds` | Array of sub-breed names |
| `imageUrl` | Sample image URL |
| `imageCount` | Total available images for this breed |
| `scrapedAt` | ISO timestamp |

#### Random Mode

| Field | Description |
|-------|-------------|
| `breed` | Breed name (parsed from URL) |
| `imageUrl` | Random dog image URL |
| `index` | Image number in sequence |
| `scrapedAt` | ISO timestamp |

#### Breed Images Mode

| Field | Description |
|-------|-------------|
| `breed` | Breed name |
| `imageUrl` | Image URL |
| `index` | Image number in sequence |
| `scrapedAt` | ISO timestamp |

### Input Options

- **Mode**: What to scrape (breeds, random, breed-images)
- **Breed**: Breed name for breed-images mode (e.g. "husky", "poodle/standard")
- **Image Count**: Number of random images (random mode, max 50)
- **Limit**: Max results to return (0 = all)

### Use Cases

- **Apps**: Build dog breed reference or identification apps
- **Machine learning**: Collect labeled dog breed images for training datasets
- **Content creation**: Get random dog images for social media or websites
- **Education**: Teach kids about dog breeds with images
- **Games**: Build dog breed quizzes or matching games

### Example Output

```json
{
  "breed": "husky",
  "subBreeds": [],
  "imageUrl": "https://images.dog.ceo/breeds/husky/n02110185_1469.jpg",
  "imageCount": 242,
  "scrapedAt": "2026-04-26T12:00:00.000Z"
}
```

### Data Source

- [Dog CEO](https://dog.ceo/dog-api/) -- Free, open-source Dog API with 20,000+ images

***

### Run on Apify

This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) -- a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features.

[Try Apify free](https://apify.com/?fpr=lulzasaur)

# Actor input Schema

## `mode` (type: `string`):

What to scrape: all breeds, random images, or images for a specific breed.

## `breed` (type: `string`):

Breed name for breed-images mode (e.g. 'husky', 'poodle/standard'). Use breed/sub-breed format for sub-breeds.

## `imageCount` (type: `integer`):

Number of random images (for random mode, max 50).

## `limit` (type: `integer`):

Maximum number of results to return. 0 = all.

## `proxyConfiguration` (type: `object`):

Optional proxy to use.

## Actor input object example

```json
{
  "mode": "breeds",
  "breed": "",
  "imageCount": 10,
  "limit": 0
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/dogapi-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/dogapi-scraper").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 '{}' |
apify call lulzasaur/dogapi-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/dogapi-scraper"
        }
    }
}

```

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/d8OXGpbnKGlPY6TUU/builds/gif0qhtLYqgnEdKqi/openapi.json