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Under Armour Shop API Scraper

Pricing

from $1.00 / 1,000 product rows

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Under Armour Shop API Scraper

Under Armour Shop API 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.

Pricing

from $1.00 / 1,000 product rows

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R.L.

R.L.

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Under Armour Shop API Scraper πŸ›οΈ β€” Products, Prices, Stock & Colours

Under Armour Scraper β€” 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 β€” no flaky HTML parsing, no headless browser. Export to JSON, CSV, Excel, or an API.

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


✨ Why use this Under Armour Scraper?

  • 🟒 No code required β€” set your input, click Start, download your data.
  • ⚑ Fast & accurate β€” reads Under Armour's own private API and returns structured JSON, not scraped HTML.
  • 🧾 Rich, structured data β€” every field below, clean and ready to use.
  • πŸ” Full pagination β€” collects results to your maxItems cap.
  • πŸ’Έ Transparent pay-per-result pricing β€” pay only for the rows you get.
  • πŸ“€ Export anywhere β€” JSON, CSV, Excel, XML, or pull it live via the Apify API.

🎯 What can you do with Under Armour data?

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

πŸ“₯ 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.


πŸš€ How to scrape www.underarmour.com (3 steps)

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

βš™οΈ Input

FieldTypeDefaultDescription
qstring–Keyword to search (e.g. 'running shoes'). Leave empty to browse a category instead.
maxItemsinteger48Maximum number of products to return (0 = keep going to the end of the listing)
includeDetailsbooleantrueFetch full detail (size-level stock, variants, all images) for every product. Slightly slower but gives live per-size availability.
marketenumUSStore / market (sets currency and catalogue) β€” one of US, CA, MX
sortenumnow-trendingHow to sort the listing β€” one of now-trending, top-sellers, price-low-high, price-high-low, top-rated, newest
categoryenum–Browse a category (used when Search query is empty) β€” one of men, women, kids, girls, boys, footwear, outlet
proxyConfigurationobjectApify ProxyRoute requests through a proxy (Apify Proxy by default).

Example input

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

πŸ“€ Output

Each result is a JSON object like this:

{
"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) β€” sizes, variants, gender, description, inventoryStockLevel β€” are only populated when the per-item detail option is enabled.


🧾 Data table

FieldTypeDescription
idtextStyle code
nametextName
subHeadertextSub-header
gendertextGender (detail)
currencytextCurrency
priceMinnumberPrice min
priceMaxnumberPrice max
salePriceMinnumberSale price min
salePriceMaxnumberSale price max
primaryCategorytextPrimary category
colorCountnumberColour count
colorsarrayColours
imagesarrayImages
urllinkURL
sizesarraySizes (detail)
variantsarrayVariants (size-level stock) (detail)
promotionsarrayPromotions
descriptiontextDescription (detail)
inventoryStockLevelnumberInventory stock level (detail)

πŸ’° Pricing β€” pay per result

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

You scrapePrice
Product row$1.00 per 1,000 rows

πŸ”Œ Use the Under Armour Scraper via API

Run it programmatically with the Apify API:

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 β€” 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).


πŸ› οΈ 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 β€” just clean, structured data.


πŸ“Œ 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 β€” 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.