Marks & Spencer Product Scraper avatar
Marks & Spencer Product Scraper
Deprecated

Pricing

$3.99 / 1,000 products

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Marks & Spencer Product Scraper

Marks & Spencer Product Scraper

Deprecated

Get a list of products from the multinational British retailer Marks and Spencer. Each product has details such as the name, description, price, rating and the URL to find more information.

Pricing

$3.99 / 1,000 products

Rating

5.0

(1)

Developer

Sam Miller

Sam Miller

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

0

Monthly active users

8 months ago

Last modified

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Welcome to the Marks & Spencer Product Scraper! This Apify scraper allows you to extract product data from Marks & Spencer's website based on a given search URL. It is designed to be simple, efficient, and user-friendly.

Features

  • Scrape product details such as name, price, description, rating, promotion, and URL.
  • Input a search URL and extract relevant product listings.
  • Easy-to-use Apify integration.

How It Works

  1. Provide a Search URL: Input the URL from the Marks & Spencer website that corresponds to your search query.
  2. Run the Scraper: The scraper will process the page and extract product details.
  3. Download Results: Once scraping is complete, you can export the data in various formats such as JSON, CSV, or Excel.

Setup & Usage

Steps to Run

  1. Provide the required input parameters:
    {
    "startUrls": [
    { "url": "https://www.marksandspencer.com/search?searchTerm=t-shirt&intid=normal&langId=-24&storeId=10151&catalogId=10051&searchType=normal" }
    ]
    }
  2. Run the scraper and wait for it to process the results.
  3. Export the data in your preferred format.

Output Example

The scraper outputs structured data like this:

[
{
"url": "https://www.marksandspencer.com/product-page",
"name": "Men's Leather Shoes",
"price": "£59.99",
"description": "High-quality leather shoes with a comfortable fit.",
"rating": "4.5",
"promotion": ["Offer", "10% off first purchase"]
}
]

Support

If you have any issues or feature requests, feel free to open an issue

Happy scraping! 🚀