Marks & Spencer Scraper

Scrape product data from the UK Marks & Spencer website. Provide direct product URLs or a search term to extract detailed information.

Overview

This actor extracts structured product data from the UK Marks & Spencer e-commerce site. You can scrape specific products via URL or perform a search to get multiple results. The output includes comprehensive product details and optional review data.

Key Features

• Flexible Input: Start with direct product URLs or a search query.
• Detailed Product Data: Extracts titles, descriptions, codes, prices, ratings, images, availability, and variant details (sizes, colors).
• Review Scraping: Optional collection of full product reviews with filtering and sorting.
• Resilient Operation: Built-in retry logic handles network issues.

How to Use

Configure the actor using the input parameters below. You must use either productUrls or searchQuery to start a run.

Input

Configure the scraper using these parameters in a JSON object.

Input Example

{
  "productUrls": [],
  "searchQuery": "coat",
  "sortSearchResultsBy": "newArrivals",
  "maxSearchResults": 50,
  "country": "uk",
  "scrapeReviews": true,
  "filterReviewsByRating": "5",
  "sortReviewsBy": "SUBMISSION_TIME",
  "reviewsSortOrder": "DESC",
  "maxReviews": 200
}

Output

The actor outputs a dataset of items, where each item is a JSON object containing the scraped product data. The structure is consistent whether you use URLs or search.

Output Example (Abbreviated)

{
  "id": "60708918",
  "productCode": "T253331M",
  "url": "https://www.marksandspencer.com/pure-cotton-oxford-shirt/p/clp60708918",
  "title": "Pure Cotton Ultimate Oxford Shirt",
  "about": "This pure cotton Oxford shirt is a timeless wardrobe classic...",
  "price": "£25",
  "brand": "M&S",
  "rating": 4.65,
  "reviewCount": 98,
  "availability": "InStock",
  "images": [
    "https://assets.digitalcontent.marksandspencer.app/images/...",
    "..."
  ],
  "variants": [...]
}