# Under Armour Shop API Scraper (`rl1987/underarmour-api-scraper`) Actor

Scrape the Under Armour Shop catalogue via its private mobile GraphQL API. Search or browse product listings by market (US/CA/MX), with full product detail: size-level live stock, prices, colours, style codes and Scene7 images. No login required.

- **URL**: https://apify.com/rl1987/underarmour-api-scraper.md
- **Developed by:** [R.L.](https://apify.com/rl1987) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 product rows

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Under Armour Shop API Scraper 🛍️ — Products, Prices, Stock & Colours

**Under Armour Scraper** — Scrape the Under Armour Shop catalogue via its private mobile GraphQL API. Search or browse product listings by market (US/CA/MX), with full product detail: size-level live stock, prices, colours, style codes and Scene7 images. No login required. It reads Under Armour's own API directly, so it's **fast, reliable and complete** — no flaky HTML parsing, no headless browser. Export to **JSON, CSV, Excel, or an API**.

> Under Armour's catalogue — name, price, colours, style code and live size-level stock — via the app's private GraphQL API.

***

### ✨ Why use this Under Armour Scraper?

- 🟢 **No code required** — set your input, click **Start**, download your data.
- ⚡ **Fast & accurate** — reads Under Armour's own private API and returns structured JSON, not scraped HTML.
- 🧾 **Rich, structured data** — every field below, clean and ready to use.
- 🔁 **Full pagination** — collects results to your `maxItems` cap.
- 💸 **Transparent pay-per-result pricing** — pay only for the rows you get.
- 📤 **Export anywhere** — JSON, CSV, Excel, XML, or pull it live via the Apify API.

***

### 🎯 What can you do with Under Armour data?

- **Market & competitor research** — analyse Under Armour products at scale.
- **Price & availability monitoring** — track changes over time.
- **Data science & trend analysis** — build clean datasets.
- **Lead generation & enrichment** — feed Under Armour data into your own tools.

***

### 📥 What data does the Under Armour Scraper extract?

Each row includes: `id`, `name`, `subHeader`, `gender`, `currency`, `priceMin`, `priceMax`, `salePriceMin`, `salePriceMax`, `primaryCategory`, `colorCount`, `colors`, `images`, `url` …and more. See the full **Data table** below.

***

### 🚀 How to scrape www.underarmour.com (3 steps)

1. **Set your input** — provide `q` or `maxItems` (see the table below; defaults work out of the box).
2. **Pick options** — filters, a `proxyConfiguration`, and a `maxItems` cap.
3. **Run & export** — click **Start**, then download the dataset as JSON/CSV/Excel or fetch it via the API.

***

### ⚙️ Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `q` | string | – | Keyword to search (e.g. 'running shoes'). Leave empty to browse a category instead. |
| `maxItems` | integer | `48` | Maximum number of products to return (0 = keep going to the end of the listing) |
| `includeDetails` | boolean | `true` | Fetch full detail (size-level stock, variants, all images) for every product. Slightly slower but gives live per-size availability. |
| `market` | enum | `US` | Store / market (sets currency and catalogue) — one of `US`, `CA`, `MX` |
| `sort` | enum | `now-trending` | How to sort the listing — one of `now-trending`, `top-sellers`, `price-low-high`, `price-high-low`, `top-rated`, `newest` |
| `category` | enum | – | Browse a category (used when Search query is empty) — one of `men`, `women`, `kids`, `girls`, `boys`, `footwear`, `outlet` |
| `proxyConfiguration` | object | Apify Proxy | Route requests through a proxy (Apify Proxy by default). |

#### Example input

```jsonc
{
  "maxItems": 48,
  "includeDetails": true,
  "market": "US",
  "sort": "now-trending",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

***

### 📤 Output

Each result is a JSON object like this:

```jsonc
{
  "id": "…",
  "name": "…",
  "subHeader": "…",
  "gender": "…",
  "currency": "…",
  "priceMin": 0,
  "priceMax": 0,
  "salePriceMin": 0,
  "salePriceMax": 0,
  "primaryCategory": "…",
  "colorCount": 0,
  "colors": [
    "…"
  ],
  "images": [
    "…"
  ],
  "url": "https://…",
  "sizes": [
    "…"
  ],
  "variants": [
    "…"
  ],
  "promotions": [
    "…"
  ],
  "description": "…",
  "inventoryStockLevel": 0
}
```

> Fields marked *(detail)* — `sizes`, `variants`, `gender`, `description`, `inventoryStockLevel` — are only populated when the per-item detail option is enabled.

***

### 🧾 Data table

| Field | Type | Description |
| --- | --- | --- |
| `id` | text | Style code |
| `name` | text | Name |
| `subHeader` | text | Sub-header |
| `gender` | text | Gender *(detail)* |
| `currency` | text | Currency |
| `priceMin` | number | Price min |
| `priceMax` | number | Price max |
| `salePriceMin` | number | Sale price min |
| `salePriceMax` | number | Sale price max |
| `primaryCategory` | text | Primary category |
| `colorCount` | number | Colour count |
| `colors` | array | Colours |
| `images` | array | Images |
| `url` | link | URL |
| `sizes` | array | Sizes *(detail)* |
| `variants` | array | Variants (size-level stock) *(detail)* |
| `promotions` | array | Promotions |
| `description` | text | Description *(detail)* |
| `inventoryStockLevel` | number | Inventory stock level *(detail)* |

***

### 💰 Pricing — pay per result

This actor uses **pay-per-event** pricing: you pay only for the rows it delivers.

| You scrape | Price |
| --- | --- |
| **Product row** | **$1.00 per 1,000 rows** |

***

### 🔌 Use the Under Armour Scraper via API

Run it programmatically with the [Apify API](https://docs.apify.com/api/v2):

```bash
curl -X POST "https://api.apify.com/v2/acts/underarmour-api-scraper/runs?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
  "maxItems": 48,
  "includeDetails": true,
  "market": "US",
  "sort": "now-trending",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}'
```

Or with the Apify CLI: `apify call underarmour-api-scraper -i input.json -o`.

***

### ❓ FAQ

**Do I need an account or API key for Under Armour?**

No. The actor talks to Under Armour's public/mobile API for you — you only need an Apify account.

**Do I need a proxy?**

A proxy is recommended for reliable runs; set `proxyConfiguration` (Residential is safest for geo-restricted or bot-protected sites).

**What export formats are supported?**

JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints.

**Is scraping this legal?**

You are responsible for how you use the data. Scrape only public product data and comply with www.underarmour.com's Terms and applicable law (e.g. GDPR/CCPA for personal data).

***

### 🛠️ How it works

The actor impersonates Under Armour's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping — just clean, structured data.

***

### 📌 Good to know

- Scrape only public product data and respect www.underarmour.com's Terms of Service and robots policy.
- For personal data, comply with GDPR/CCPA and applicable law — you are the data controller.
- Fields can be `null` when Under Armour doesn't expose them for a given record.

***

### ⭐ Found this useful?

Give the **Under Armour Scraper** a star on Apify and check out my other `apify-*-api-scraper` actors.

# Actor input Schema

## `q` (type: `string`):

Keyword to search (e.g. 'running shoes'). Leave empty to browse a category instead.

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

Maximum number of products to return (0 = keep going to the end of the listing)

## `includeDetails` (type: `boolean`):

Fetch full detail (size-level stock, variants, all images) for every product. Slightly slower but gives live per-size availability.

## `market` (type: `string`):

Store / market (sets currency and catalogue)

## `sort` (type: `string`):

How to sort the listing

## `category` (type: `string`):

Browse a category (used when Search query is empty)

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

Route requests through a proxy (Apify Proxy by default).

## Actor input object example

```json
{
  "maxItems": 48,
  "includeDetails": true,
  "market": "US",
  "sort": "now-trending",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "q": "",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rl1987/underarmour-api-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 = {
    "q": "",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("rl1987/underarmour-api-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 '{
  "q": "",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call rl1987/underarmour-api-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rl1987/underarmour-api-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/xV81za0RxWDtCgOoY/builds/24aqTkmCbhWlmO0SJ/openapi.json