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URL: https://apify.com/jungle_synthesizer/running-shoe-multi-brand-catalog-scraper

โ‡ฑ Running Shoe Multi-Brand Catalog Scraper ยท Apify


๐Ÿ‘ Running Shoe Multi-Brand Catalog Scraper avatar

Running Shoe Multi-Brand Catalog Scraper

Pricing

Pay per event

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Running Shoe Multi-Brand Catalog Scraper

Scrape running shoe catalogs from Brooks, Saucony, Altra, On, and Running Warehouse โ€” normalized records with runner-relevant specs (drop, stack, foam, plate, weight).

Pricing

Pay per event

Rating

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Developer

๐Ÿ‘ BowTiedRaccoon

BowTiedRaccoon

Maintained by Community

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Bookmarked

2

Total users

1

Monthly active users

21 days ago

Last modified

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Scrape running shoe catalogs from Brooks, Saucony, Altra, and On โ€” four premier running-specialist brands โ€” 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

FieldTypeDefaultDescription
maxItemsinteger10Maximum shoe records to return
sourcesarray["brooks","saucony","altra","on"]Which brands to scrape

Example โ€” Altra only

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

Example โ€” 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,
"sale_price_usd":null,
"color_options":null,
"sizes_available":"7.0, 7.5, 8.0, 8.5, 9.0",
"gender":"men",
"terrain":"road",
"cushioning":null,
"drop_mm":0,
"weight_g":244,
"stack_height_mm":25,
"forefoot_stack_mm":25,
"foam_technology":null,
"plate_material":null,
"intended_use":null,
"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

BrandMen'sWomen'sCatalog pages scraped
BrooksRoad + StabilityRoad + StabilityMRABROOKS, MRSBROOKS, WRABROOKS, WRSBROOKS
SauconyRoad + StabilityRoad + StabilityMRSSAUCONY, MSASAUCONY, WRSSAUCONY, WSASAUCONY
AltraAllAllALTRAMS, ALTRAWS
OnRoadRoadMRSON, WRSON

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

Notes

  • All data scraped from Running Warehouse, which carries complete catalogs for all four brands with no anti-bot protection
  • foam_technology, plate_material, intended_use, and cushioning are null in V1 โ€” these appear only in product description prose; structured extraction is planned for V2
  • Full 4-brand catalog run completes in under 15 minutes at 5 concurrent requests

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