ASOS Scraper — Prices, Stock per Size, Reviews & Categories
Scrape ASOS products and categories across 12 storefronts: prices with RRP and 30-day lowest price, stock for every size, EAN barcodes, colour and size variants, images and catwalk videos, ratings, reviews and saved-for-later counts.
key features
Every menu category of a storefront from its home page URL, with product counts and filter facets
Stock for every size, SKU and EAN barcode on each variant
Prices with previous price, RRP, 30-day lowest price and markdown flags
12 storefronts, each in its own currency, language and size schema
Rating distribution, fit/quality/comfort averages, AI review summary and the latest reviews
Model shots, flat-lays, swatches and catwalk videos, linked to their colour
Saved-for-later counts and the other colours of every style
use cases
- Fashion price monitoring and markdown tracking across markets
- Size-level stock and sell-through analysis
- Assortment and category mapping for competitive intelligence
- Review and fit analytics for product and sizing teams
- Product catalogs and shopping agents grounded in live data
- Barcode (EAN) matching against other retailers' catalogs
input parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
startUrls | array | required | Storefront, department, category, search, product-group or product URLs from any ASOS storefront |
withCategoryProducts | boolean | optional | For storefront and department URLs, also scrape every product of every menu category (default: false) |
withReviews | boolean | optional | Fetch rating statistics and the latest reviews (default: true) |
maxReviewsPerProduct | number | optional | Latest reviews per product, 0–100 (default: 10) |
withSavedCount | boolean | optional | Fetch the 30-day saved-for-later count (default: true) |
withOtherColours | boolean | optional | List the other colours of the same style (default: true) |
maxRequestsPerCrawl | number | optional | Page limit, 0 for no limit (default: 0) |
maxConcurrency | number | optional | Parallel requests (default: 20) |
proxy | object | optional | Residential proxy recommended for storefront-wide crawls |
Output Example
1{
2 "source": {
3 "id": "205774480",
4 "canonicalUrl": "https://www.asos.com/adidas-originals/adidas-originals-handball-spezial-gum-sole-trainers-in-brown-and-white/prd/205774480",
5 "retailer": "ASOS",
6 "store": "COM",
7 "currency": "GBP",
8 "sizeSchema": "UK"
9 },
10 "title": "adidas Originals Handball Spezial gum sole trainers in brown and white",
11 "brand": "adidas Originals",
12 "categories": ["Unisex", "Trainers"],
13 "price": { "current": 9000, "previous": 9000, "stockStatus": "InStock", "currency": "GBP" },
14 "variants": [
15 {
16 "id": "206675555",
17 "sku": "135912910",
18 "gtin": "4066765223623",
19 "options": ["205774481", "596146"],
20 "price": { "current": 9000, "previous": 9000, "stockStatus": "InStock" },
21 "extraInfo": { "brandSize": "UK 3", "colour": "MULTI" }
22 }
23 ],
24 "stats": {
25 "rating": 4.8,
26 "reviewCount": 4016,
27 "percentageRecommended": 98,
28 "lovesCount": 24983,
29 "reviewsSummary": "Customers overwhelmingly praise these trainers for exceptional comfort..."
30 }
31}
Prices are integers in minor units (pence, cents). Category records from storefront URLs share the dataset: they carry handle and productsCount instead of source.
Pricing
Pay-per-event — you are billed for the records you keep:
| Event | Price | What it covers |
|---|---|---|
| Product scraped | $0.003 | One product with prices, stock per size, variants, barcodes, images and videos; a product group counts once per piece |
| Category scraped | $0.001 | One category with its menu paths, product count and filter facets |
| Reviews & ratings (extra) | $0.001 | Rating statistics, AI review summary and the latest reviews for one product |
| Saved-for-later count (extra) | $0.0005 | The 30-day saved-for-later count of one product |
| Other colours (extra) | $0.0005 | The other colours of one product’s style, with price and stock |
Extras are charged only when ASOS has the data and the matching switch is on.
Tips
- Start from the storefront.
https://www.asos.com/returns the whole category tree for one request per category; addwithCategoryProductsonly when you need the products too. - Pick the market with the URL.
/us/,/fr/,/de/and the other storefront prefixes set currency, language and size schema for everything under them. - Switch off the extras you don’t need. Each of reviews, saved count and other colours costs one request and one charge per product.
- Use a residential proxy for large crawls — a single IP gets throttled after a few thousand requests.
faq
Can it scrape every category of ASOS?
Which currency and sizes do I get?
Do I get stock for each size?
Do I need a proxy?
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