Marks & Spencer Scraper

Scrape marksandspencer.com category pages and get back structured product rows: name, brand, price, discount, stock status, rating and images — no login, no cookies, no browser required.

Why use this actor

Marks & Spencer (M&S) is one of the UK's largest general retailers — clothing, homeware, beauty and lingerie across menswear, womenswear, kids' and home ranges — and there was no coverage of it in this catalogue before. If you're tracking UK high-street pricing, building a competitor price feed, or comparing M&S against Next, Debenhams, House of Fraser or Harrods, this actor gives you a clean, structured read of its catalogue by category.

marksandspencer.com is a plain fetch — no proxy fight required

M&S category pages are fully server-rendered by the site's own Next.js frontend: the complete product list for a page — id, brand, title, price, "was" price, stock indicator, review score, image asset IDs — is embedded directly in the HTML as a __NEXT_DATA__ JSON blob. There's no hidden API call to reverse-engineer and no JavaScript execution needed to see the data a visitor sees.

Akamai Bot Manager infrastructure is present on marksandspencer.com (sensor cookies and an akamai-grn header show up on every response), but it was not actively challenging requests when this actor was built — repeated plain fetches, including with no User-Agent header and no cookies at all, all returned clean HTTP 200 responses with the full product payload. This actor therefore defaults to Apify's automatic proxy pool rather than paying for residential IPs it doesn't need. If Akamai tightens enforcement later, switch Proxy Configuration to RESIDENTIAL (country GB) in the input — no code change required.

How to scrape Marks & Spencer data

1. Find a category page on marksandspencer.com — browse the site's own menu (e.g. Beauty → Clinique, Women → Dresses) and copy the URL. It will look like https://www.marksandspencer.com/l/beauty/clinique.
2. Paste that URL into Category URL. Leave it empty to scrape the default category (Clinique beauty) — useful for a quick test run.
3. Set Max Results — products load in pages of 48, and large categories (womenswear, menswear) can hold thousands of items, so this cap always applies (hard-capped at 2000/run).
4. Run it. The actor requests the category page directly, extracts the embedded __NEXT_DATA__ product list, walks ?page=N until it has enough rows or runs out of stock (using the category's own totalItems count to know when to stop), and pushes one row per product to the dataset.
5. Export the dataset as JSON/CSV/Excel from the Apify Console, or pull it via the API.

Input

Field	Type	Required	Description
categoryUrl	String	No	A marksandspencer.com /l/{department}/{sub-category} listing URL. Defaults to the Clinique beauty category if left empty.
maxResults	Integer	No	Maximum products to return (default: 60, capped at 2000).
proxyConfiguration	Object	No	Proxy settings. Automatic (no groups) by default — switch to RESIDENTIAL/GB only if you see repeated failures at high volume.

Output

Each result contains:

Field	Type	Example
name	String	"Jumbo Dramatically Different™ Moisturizing Lotion 200ml"
brand	String	"Clinique"
price	Number	44
currency	String	"GBP"
originalPrice	Number	55
discount	String	"-20%"
sku	String	"60745720"
productId	String	"P60745720"
inStock	Boolean or null	true
imageUrl	String	Primary product image URL
imageUrls	Array	All available product images
category	String	"Moisturiser"
rating	Number	4.11
reviewCount	Number	388
url	String	Canonical product page URL
scrapedAt	String	ISO 8601 timestamp

Example output

{
  "name": "Jumbo Dramatically Different™ Moisturizing Lotion 200ml",
  "brand": "Clinique",
  "price": 44,
  "currency": "GBP",
  "originalPrice": 55,
  "discount": "-20%",
  "sku": "60745720",
  "productId": "P60745720",
  "inStock": true,
  "imageUrl": "https://asset1.cxnmarksandspencer.com/is/image/mands/MS_07_T23_6799G_NC_X_EC_0",
  "imageUrls": [
    "https://asset1.cxnmarksandspencer.com/is/image/mands/MS_07_T23_6799G_NC_X_EC_6",
    "https://asset1.cxnmarksandspencer.com/is/image/mands/MS_07_T23_6799G_NC_X_EC_0"
  ],
  "category": "Moisturiser",
  "rating": 4.11,
  "reviewCount": 388,
  "url": "https://www.marksandspencer.com/jumbo-dramatically-different-moisturizing-lotion-200ml/p/hbp60745720",
  "scrapedAt": "2026-09-08T14:10:48.234Z"
}

Limitations

• Product descriptions are not included — the listing payload this actor reads doesn't carry the long-form description text (only the product detail page does). Every other field above comes straight from the listing page.
• inStock reflects M&S's own coded stock-level indicator. The site only distinguishes "out of stock" unambiguously in that code; anything else is treated as in stock. When the indicator is missing entirely, inStock is null — never guessed as false.
• This actor scrapes by category URL, not free-text search — there's no public search endpoint on marksandspencer.com that returns the same server-rendered product data the category pages do.
• Currency is always GBP — marksandspencer.com is the UK storefront only.

Cost estimate

No residential proxy or browser rendering is needed for the default setup, so runs are fast and cheap — mostly Apify platform compute, no per-request proxy fee. A 1000-item run typically completes in well under a minute of actor runtime.

Note: a run's usage cost only settles after it reports SUCCEEDED — if you check the dataset mid-run, the cost shown will be lower than the final total.

Related scrapers

Part of Studio AMBA's UK department-store / general-retail cluster:

• Debenhams Scraper — UK department store
• Liberty London Scraper — UK luxury department store
• Harrods Scraper — UK luxury department store
• House of Fraser Scraper — UK department store