Puma Product Details Scraper
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Puma Product Details Scraper
Under maintenanceScrape comprehensive product data from Puma.com including names, descriptions, pricing, images, ratings, and 35+ structured fields. Perfect for e-commerce analytics, price monitoring, inventory tracking, and competitive research in the sportswear industry.
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Pay per usage
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Soft Alexist
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20 hours ago
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Puma Product Details Scraper: Extract Shoe & Apparel Data at Scale
What Is Puma.com?
Puma.com is the official e-commerce platform for Puma, a global leader in sports footwear and apparel. The site hosts thousands of product listings across running shoes, soccer cleats, lifestyle sneakers, and athletic wear. Extracting product details manually is inefficient and error-prone — the Puma Product Details Scraper automates this entirely, delivering structured data on demand for analysis, monitoring, and integration.
Overview
The Puma Product Details Scraper extracts comprehensive product pages from Puma.com, converting unstructured web content into clean, queryable datasets. Each product record includes 35+ fields spanning product metadata, media, pricing, availability, reviews, and variations.
Ideal for:
- E-commerce analysts tracking inventory, pricing, and product performance
- Price monitoring platforms watching Puma's catalog for changes
- Researchers analyzing sportswear market trends
- Retailers aggregating competitor product data
- Developers building product feeds for marketplaces or dashboards
Input Format
The scraper accepts a configuration object specifying which product pages to collect:
Input Field Definitions
| Field | Type | Description |
|---|---|---|
urls | Array of strings | Direct links to individual Puma product detail pages. Each URL should point to a specific shoe or apparel item. Copy full URLs from the browser address bar, including any color/swatch parameters. Supports up to hundreds of URLs per run. |
max_items_per_url | Integer | Maximum number of records to extract per URL. Default: 200. For single product pages, set to 1–10; for collection pages, increase as needed. |
ignore_url_failures | Boolean | If true, the scraper continues processing remaining URLs even if some fail. If false, the entire run stops on first failure. Recommended: true for bulk runs. |
Pro tip: Include the
?swatch=parameter in URLs to capture color variants and size availability data for that specific swatch.
Output Format
Sample output
Each product record returns a rich dataset with 35 fields organized by category:
Core Product Information
| Field | Meaning |
|---|---|
Name | Full product name as displayed on Puma.com |
ID | Unique Puma product identifier |
Header | Primary heading text for the product |
Sub Header | Secondary heading or tagline (e.g., "Men's Running Shoes") |
Slug | URL-friendly version of the product name |
Brand | Brand label (typically "Puma") |
Description | Full product description, features, and specifications |
Product Name Translated | Localized product name if available |
Slug Translated | Localized URL slug |
Media & Visual Content
| Field | Meaning |
|---|---|
Image | Primary product image URL (high-resolution) |
Product Videos | Array of product video URLs (e.g., 360° view, performance clips) |
Vertical Product Videos | Mobile-optimized vertical video URLs |
Show Explore Collection CTA | Boolean flag: whether to display "Explore Collection" call-to-action |
CMS Content | Additional marketing or editorial content blocks |
Product Catalog & Organization
| Field | Meaning |
|---|---|
Primary Category ID | Main product category identifier (e.g., running, soccer) |
Product Division | Product line or division (e.g., performance, lifestyle) |
Explore More CTA Label | Text for the "Explore More" button |
Explore More CTA Target Category ID | Category page the CTA links to |
Colors | Array of available color options and hex codes |
Orderable Color Count | Number of colors available for purchase |
Availability & Inventory
| Field | Meaning |
|---|---|
Orderable | Boolean: whether the product can be added to cart |
Display Out Of Stock | Boolean: whether out-of-stock variants are visible |
Restricted Countries | List of countries where the product cannot be sold |
Is Fast Selling | Boolean flag indicating high demand/limited stock |
Variations | Nested array of size, color, and fit combinations with availability |
Pricing & Promotions
| Field | Meaning |
|---|---|
Promotions | Array of active discounts, bundles, or seasonal offers |
Promotion Exclusion | Boolean: whether the product is excluded from promotions |
Configure ID | Internal ID for price/promo configuration |
Customer Engagement
| Field | Meaning |
|---|---|
Average Rating | Product review score (typically 0–5 stars) |
Amount Of Reviews | Total customer review count |
Disable Ratings | Boolean: if true, ratings are hidden from product page |
Disable Reviews | Boolean: if true, customer reviews section is hidden |
Sizing & Fitting
| Field | Meaning |
|---|---|
Size Chart ID | Reference to the applicable size chart (varies by category) |
Fit Options | Array of fit types (e.g., snug, true-to-size, loose) |
How to Use
- Gather URLs — Browse Puma.com and copy the full URL of each product detail page you want to scrape. Include color/swatch parameters for variant-specific data.
- Prepare input — Create a JSON configuration with your URLs array and set
max_items_per_url(typically 1–10 for single products). - Enable failure handling — Set
ignore_url_failures: trueto skip broken links without stopping the run. - Execute — Start the scraper and monitor progress in the activity log.
- Export — Download results as JSON, CSV, or Excel for analysis, dashboards, or database import.
Common tips:
- Use swatch parameters (
?swatch=XX) to capture color-specific inventory and images - For bulk runs (100+ URLs), increase timeout settings and enable proxy rotation
- Test with 5–10 URLs before scaling to full datasets
Use Cases & Business Value
- Price intelligence: Monitor Puma's retail prices, discounts, and promotions over time
- Inventory tracking: Track stock levels across sizes and colors to predict demand
- Competitor analysis: Compare Puma's product strategy, ratings, and positioning against rivals
- Product feed generation: Automatically populate e-commerce aggregators, shopping feeds, or internal databases
- Trend analysis: Identify emerging product lines, fast-movers, and seasonal shifts in the sportswear market
By automating product data extraction, you eliminate manual entry errors and unlock real-time insights into Puma's catalog that inform pricing strategies, inventory decisions, and competitive positioning.
Conclusion
The Puma Product Details Scraper delivers structured, actionable product data from Puma.com in minutes. With 35+ fields covering everything from descriptions and images to inventory, reviews, and promotions, it scales from single-product monitoring to multi-thousand-item enterprise pipelines. Streamline your e-commerce intelligence workflow today.
