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Puma API Scraper

Pricing

from $1.00 / 1,000 plp rows

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Puma API Scraper

Puma API Scraper

Scrapes PUMA.com product listing (category) and product detail data via the official mobile app GraphQL API.

Pricing

from $1.00 / 1,000 plp rows

Rating

0.0

(0)

Developer

R.L.

R.L.

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

14 hours ago

Last modified

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What does Puma API Scraper do?

Puma API Scraper extracts product data directly from PUMA.com's official GraphQL API — the same API the PUMA mobile app uses — giving you clean, structured category listing (PLP), keyword search, and product detail (PDP) data without rendering a single web page. Because it talks to the API instead of scraping HTML, it's fast, reliable, and returns fields (pricing, stock per size, badges, images, materials) that aren't always visible in the page markup.

Run it on the Apify platform to get API access, scheduling, webhooks, and integrations with Zapier, Make, Google Sheets, and 30+ other tools — no infrastructure to manage.

Why use Puma API Scraper?

  • Price and availability monitoring — track PUMA prices, sale prices, and per-size stock status over time for competitor or assortment monitoring.
  • Catalog enrichment — pull structured product attributes (materials, care instructions, size charts, badges) to enrich your own product database.
  • Market research — analyze PUMA's category assortment, search rankings, new arrivals, and pricing strategy across countries and locales.

How to use Puma API Scraper

The Actor supports three scraping modes. Select which one(s) to run in the Scrape modes field — a mode's input list (e.g. categoryUrls) is only read if that mode is selected, even if it's filled in, so leftover values from a saved input never trigger an unwanted mode.

  1. Tick Category in Scrape modes, then add one or more Category URLs — paste the full PUMA category page URL (e.g. https://us.puma.com/us/en/men/shoes) or just the path (/men/shoes); the locale segment is stripped automatically.
  2. Tick Search, then add one or more Search queries (e.g. "running shoes"), same as the in-app search bar.
  3. Tick Product IDs, then add specific Product IDs to fetch individual products directly.
  4. Choose whether to fetch full PDP data for every product found via category/search (on by default).
  5. Click Start and download your results from the Dataset tab in JSON, CSV, Excel, or other formats.

Input

FieldTypeDescription
scrapeModesarray of stringsWhich mode(s) to run: category, search, productIds (default ["category"])
categoryUrlsarray of stringsUsed when category is selected. PLP category pages to crawl — full URL or bare path, e.g. ["https://us.puma.com/us/en/men/shoes"]
searchQueriesarray of stringsUsed when search is selected. Keyword searches to run, e.g. ["running shoes"]
productIdsarray of stringsUsed when productIds is selected. Specific master product IDs to fetch directly
localestringStorefront locale, e.g. en-US, en-GB, de-DE, ja-JP (default en-US)
fetchProductDetailsbooleanAlso fetch full PDP data for every PLP/search result (default true)
maxProductsPerCategoryintegerCap products per category; 0 = unlimited
maxProductsPerSearchintegerCap products per search query; 0 = unlimited

See the full input schema on the Input tab.

Output

Each dataset item is either a lightweight plp listing record or a full pdp product record.

{
"type": "pdp",
"id": "398846",
"name": "Speedcat OG Sneakers",
"price": 100,
"brand": "Speedcat",
"category": { "id": "mens-shoes", "name": "Men's Shoes and Sneakers", "url": "/men/shoes" },
"variations": [
{
"id": "398846_01",
"colorName": "PUMA Black-PUMA White",
"orderable": true,
"productPrice": { "price": 100, "salePrice": 100 },
"sizeGroups": [ { "label": "Mens", "sizes": [ { "label": "9", "orderable": true } ] } ]
}
]
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

FieldDescription
id / masterIdPUMA master product ID
nameProduct name
priceBase price
variationsArray of color variants, each with pricing, images, materials, and per-size stock (sizeGroups)
categoryCategory ID, name, and URL
productStoryLong description and care instructions

Pricing / Cost estimation

This Actor makes lightweight GraphQL requests (no browser rendering), so it runs cheaply and quickly — a few hundred products typically cost well under $0.01 in Apify platform compute units. Actual cost depends on how many categories/products you scrape.

Tips or Advanced options

  • Leave fetchProductDetails off if you only need the PLP summary (variant colors, prices, ratings) — this roughly halves the number of API calls.
  • Use maxProductsPerCategory while testing to keep runs small before scaling up.

Sneaker & streetwear resale toolkit

Part of the Sneaker & streetwear resale toolkit — resale-market pricing and product data across the major sneaker/streetwear marketplaces and brands:

  • StockX API Scraper — Product listings, market data, and pricing from StockX.
  • GOAT API Scraper — Scrapes GOAT.com product listings by search query or category.
  • Supreme API Scraper — Supreme catalogue: categories, full product detail, every colour/size variant.
  • Nike API Scraper — Scrape Nike.com listings and full product detail from api.nike.com.

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FAQ, disclaimers, and support

This Actor is an independent tool and is not affiliated with or endorsed by PUMA. It's built for legitimate research, monitoring, and catalog-enrichment purposes — always ensure your use complies with PUMA's Terms of Service. Data availability and fields may change if PUMA updates its API. Found an issue or need custom fields? Use the Issues tab, or reach out for a custom scraping solution.