Puma Product Scraper

Extract Puma product listing data from category pages such as men's shoes.
Collect pricing, ratings, color variants, size options, badges, and product links in a clean dataset ready for analysis and monitoring.

Features

• Fast category extraction - Collect products directly from Puma category pages.
• Rich product coverage - Includes pricing, ratings, color data, badges, and size groups.
• Pagination support - Automatically continues through result pages until target count is reached.
• Clean dataset output - Omits empty fields for compact, analysis-ready records.
• Flexible controls - Set result limits, page size, and URL target.

Use Cases

Competitive Pricing Tracking

Monitor shoe pricing and promotional deltas across Puma categories over time. Build snapshots for daily, weekly, or seasonal comparisons.

Merchandising Analysis

Measure assortment depth by category, color coverage, and orderable size availability. Identify which product lines have broad or narrow variant coverage.

Product Intelligence

Track review counts, average ratings, and badge presence to understand which products are most visible and marketable.

Catalog Monitoring

Detect newly listed products, removed variants, and changes in product metadata by comparing recurring runs.

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Input Parameters

Parameter	Type	Required	Default	Description
start_url	String	No	https://us.puma.com/us/en/men/shoes	Puma listing URL (category/search/tag/country).
results_wanted	Integer	No	20	Maximum number of products to save.
page_size	Integer	No	24	Number of products requested per page.
proxyConfiguration	Object	No	{ \"useApifyProxy\": false }	Optional Apify Proxy configuration.

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Output Data

Each dataset item can include:

Field	Type	Description
product_id	String	Product variant identifier.
variant_id	String	Variant ID.
master_id	String	Master product ID.
name	String	Product name.
brand	String	Brand label.
color_name	String	Color name.
color_code	String	Color code.
price_regular	Number	Regular price.
price_sale	Number	Sale price.
price_promotion	Number	Promotion price when available.
price_best	Number	Best available price field.
rating	Number	Average rating.
review_count	Number	Number of reviews.
product_url	String	Product detail URL.
image_url	String	Primary image URL.
all_image_urls	Array	All available variant image URLs.
sizes	Array	Size group and size-level availability details.
badge_labels	Array	Product badge labels.
variant_promotion_messages	Array	Variant-level promotion messages.
master_promotion_messages	Array	Master-level promotion messages.
category_name	String	Category title.
category_path	String	Category path extracted from URL.
scraped_at	String	ISO timestamp of extraction.

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Usage Examples

Basic Category Run

{
  "start_url": "https://us.puma.com/us/en/men/shoes",
  "results_wanted": 20
}

Larger Pull

{
  "start_url": "https://us.puma.com/us/en/men/shoes",
  "results_wanted": 120,
  "page_size": 24
}

Search URL Run

{
  "start_url": "https://us.puma.com/us/en/search?q=running",
  "results_wanted": 60
}

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Sample Output

{
  "source": "puma",
  "category_url": "https://us.puma.com/us/en/men/shoes",
  "category_path": "/men/shoes",
  "category_id": "mens-shoes",
  "category_name": "Men's Shoes and Sneakers",
  "product_id": "198556306179",
  "variant_id": "198556306179",
  "master_id": "308762",
  "sku": "308762_07",
  "product_url": "https://us.puma.com/us/en/pd/scuderia-ferrari-trinity-2-mens-sneakers/308762?swatch=07",
  "name": "Scuderia Ferrari Trinity 2 Men's Sneakers",
  "brand": "Ferrari",
  "color_name": "PUMA Black-Speed Yellow",
  "color_code": "07",
  "orderable": true,
  "price_regular": 103,
  "price_sale": 103,
  "rating": 0,
  "review_count": 0,
  "badge_labels": ["New"],
  "image_url": "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/308762/07/sv01/fnd/PNA/fmt/png/Scuderia-Ferrari-Trinity-2-Men's-Sneakers",
  "scraped_at": "2026-04-01T10:55:22.102Z"
}

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Tips for Best Results

Start with QA-Friendly Limits

• Use results_wanted: 20 for quick checks.
• Increase gradually for larger production snapshots.

Keep URL Category-Specific

• Use direct category URLs instead of home pages.
• Validate that the URL resolves to a listing page.

Handle Scale with Proxy

• Enable proxy when running frequent or high-volume schedules.
• Keep page size moderate for stable runs.

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Integrations

Connect scraped data with:

• Google Sheets - Track price and assortment changes over time.
• Airtable - Build searchable merchandising datasets.
• Make - Trigger downstream workflows after each run.
• Zapier - Send updates to CRMs, dashboards, or alerts.
• Webhooks - Push run results to your own services.

Export Formats

• JSON - For APIs and automation pipelines.
• CSV - For spreadsheet workflows.
• Excel - For reporting and business review.
• XML - For legacy integrations.

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Frequently Asked Questions

How many products can I scrape?

You can request any count, but practical limits depend on page availability and run time constraints.

Can I scrape categories other than men's shoes?

Yes. Provide a different Puma category URL in start_url.

Why are some optional fields missing in output?

The actor excludes empty values by design, so records remain compact and clean.

Does the actor support pagination automatically?

Yes. It paginates until your target count is reached or no more products are available.

Can I run this on a schedule?

Yes. Use Apify schedules for recurring data snapshots.

What if the target page structure changes?

Run a small test and then adjust input/filter settings as needed.

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Support

For issues or feature requests, use your Apify Console issue flow.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for lawful data collection and analysis. You are responsible for complying with website terms, local regulations, and internal data governance policies.