Running Shoe Multi-Brand Catalog Scraper

Scrape running shoe catalogs from Brooks, Saucony, Altra, and On — four premier running-specialist brands — all normalized into a single dataset. Built for affiliate publishers, competitive-intelligence teams, and shoe-recommendation engines that need structured spec data beyond what generic shopping scrapers offer.

What it does

Crawls Running Warehouse's per-brand catalog pages (the cleanest, most open source for all four brands) and extracts runner-relevant technical specs from each product detail page:

• Biomechanical specs: heel-to-toe drop (mm), heel stack height (mm), forefoot stack height (mm), weight (g)
• Product metadata: SKU, model family, generation, product URL, MSRP
• Catalog info: available sizes, in-stock status, star rating
• Context fields: gender (men/women), terrain (road/trail)

Input

Field	Type	Default	Description
maxItems	integer	10	Maximum shoe records to return
sources	array	["brooks","saucony","altra","on"]	Brands to scrape (multi-select; empty = the four Running Warehouse brands). Add lining for Li-Ning
searchQuery	string	empty	Model keywords, e.g. ghost 16; every word must appear in the shoe name (case-insensitive)

Covered brands: Brooks, Saucony, Altra, On and Li-Ning. Nike, Asics, Hoka and others are not covered.

Li-Ning (lining)

Li-Ning records come from Li-Ning's own web store (store.lining.com), not Running Warehouse. Model names are given in English (for example Li-Ning Red Hare 9 Ultra Men's Running Shoes, from 赤兔9 ULTRA) and the original Chinese title is kept in product_name_original. For Li-Ning, searchQuery works with the English name, e.g. lining red hare 9 ultra.

• Prices are CNY. Read price (current), msrp (list) and currency. msrp_usd is null on Li-Ning records and is never filled with a converted value. Running Warehouse records carry currency: "USD".
• Sizes are EU sizes (in stock only).
• Weight, drop and stack height are null for Li-Ning: the store does not publish them. Star rating and review count are null too.

Example — one model

{
  "maxItems": 10,
  "sources": ["brooks"],
  "searchQuery": "ghost 16"
}

Example — Altra only

{
  "maxItems": 50,
  "sources": ["altra"]
}

Example — all four brands

{
  "maxItems": 500,
  "sources": ["brooks", "saucony", "altra", "on"]
}

Output schema

{
  "source_brand": "altra",
  "product_id": "WME04M2",
  "product_name": "Altra Escalante 4 Men's Shoes Gray/Lime",
  "model_family": "Altra Escalante",
  "generation": "4",
  "product_url": "https://www.runningwarehouse.com/Altra_Escalante_4/descpage-WME04M2.html",
  "msrp_usd": 129.95,
  "color_options": null,
  "sizes_available": "7.0, 7.5, 8.0, 8.5, 9.0",
  "gender": "men",
  "terrain": "road",
  "drop_mm": 0,
  "weight_g": 244,
  "stack_height_mm": 25,
  "forefoot_stack_mm": 25,
  "upper_material": "Stylish and breathable engineered mesh upper",
  "star_rating": 4.6,
  "review_count": 26,
  "in_stock": true
}

Use cases

• Affiliate content: keep product specs and pricing current for review sites (Believe in the Run, Doctors of Running, Solereview)
• Competitive intelligence: track model changes, stack-height trends, and pricing across brands
• Shoe recommenders: power filters by drop, weight, terrain, and gender
• Price monitoring: detect sales across Brooks, Saucony, Altra, and On in one run

Brand coverage

Brand	Men's	Women's	Catalog pages scraped
Brooks	Road + Stability	Road + Stability	MRABROOKS, MRSBROOKS, WRABROOKS, WRSBROOKS
Saucony	Road + Stability	Road + Stability	MRSSAUCONY, MSASAUCONY, WRSSAUCONY, WSASAUCONY
Altra	All	All	ALTRAMS, ALTRAWS
On	Road	Road	MRSON, WRSON

Estimated active catalog: ~400–600 SKUs across all four brands (varies by season).

Notes

• All data scraped from Running Warehouse, which carries complete catalogs for all four brands
• Full 4-brand catalog run completes in under 15 minutes at 5 concurrent requests

Related Actors

• 361sport Running Product Catalog Scraper — Scrape 361°'s complete running shoe and apparel catalog from 361sport.com, the global Shopify storefront of the Asian Games-endorsed…