# Dog Breeds Public API (dogapi.dog) - Data Scraper (`gettingtechnicl/dogs-api-8eacf667`) Actor

Extract record data from Dog Breeds Public API (dogapi.dog) via its official public JSON API. Search by name, hypoallergenic, group name and export 14 structured fields per record as JSON, CSV or Excel - reliable, with no fragile HTML scraping.

- **URL**: https://apify.com/gettingtechnicl/dogs-api-8eacf667.md
- **Developed by:** [Terry Gluff](https://apify.com/gettingtechnicl) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 verified record extracteds

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/platform/actors/running/actors-in-store#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 Public API (dogapi.dog) - Data Scraper

Extract record data from Dog Breeds Public API (dogapi.dog) via its official public JSON API. Search by name, hypoallergenic, group name and export 14 structured fields per record as JSON, CSV or Excel - reliable, with no fragile HTML scraping.

### What you get

Every record is delivered as a clean, structured row you can export to **JSON, CSV, or Excel**. Fields include:

- `id`
- `type`
- `attributes_name`
- `description`
- `life_max`
- `life_min`
- `male_weight_max`
- `male_weight_min`
- `female_weight_max`
- `female_weight_min`
- `hypoallergenic`
- `data_id`
- `data_type`
- `group_name`

### Input

Configure the run with these options (all optional -- leave blank to fetch everything):

- **Attributes Name contains** — Client-side substring filter on attributes\_name.
- **Filter: Hypoallergenic** — Client-side filter on hypoallergenic (the API has no server-side filter). Pick from a dropdown of valid values.
- **Filter: Group Name** — Client-side filter on group\_name. Pick from a dropdown of valid values.
- **Maximum results** — cap how many records to return.

### How to use

1. Click **Start** (or call the Actor via the [Apify API](https://docs.apify.com/api/v2) or a client SDK).
2. Set any filters you need and run it.
3. Download the results as JSON, CSV, or Excel from the run's dataset.

### Pricing

This Actor uses **pay-per-result** pricing: you are billed only for the records it returns, with no monthly subscription.

### Notes

This Actor collects publicly available data. Please use it responsibly and in line with the source website's terms of service.

# Actor input Schema

## `attributes_name_contains` (type: `string`):

Client-side substring filter on attributes\_name.

## `filter_hypoallergenic` (type: `string`):

Client-side filter on hypoallergenic (the API has no server-side filter).

## `filter_group_name` (type: `string`):

Client-side filter on group\_name.

## `max_items` (type: `integer`):

Maximum number of records to fetch and push to the dataset.

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

Optional Apify Proxy configuration. Leave unset to run without a proxy (default: no proxy, no extra traffic cost).

## Actor input object example

```json
{
  "attributes_name_contains": "labrador",
  "max_items": 3
}
```

# Actor output Schema

## `results` (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 = {
    "attributes_name_contains": "labrador",
    "max_items": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("gettingtechnicl/dogs-api-8eacf667").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 = {
    "attributes_name_contains": "labrador",
    "max_items": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("gettingtechnicl/dogs-api-8eacf667").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "attributes_name_contains": "labrador",
  "max_items": 3
}' |
apify call gettingtechnicl/dogs-api-8eacf667 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=gettingtechnicl/dogs-api-8eacf667",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mNIxtyb8tYdVwecAi/builds/5XwvuHJhxg9qg0GER/openapi.json