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.
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.
1{ 2 "startUrls": [ 3 { "url": "https://www.marksandspencer.com/search?searchTerm=t-shirt&intid=normal&langId=-24&storeId=10151&catalogId=10051&searchType=normal" } 4 ] 5}
The scraper outputs structured data like this:
1[ 2 { 3 "url": "https://www.marksandspencer.com/product-page", 4 "name": "Men's Leather Shoes", 5 "price": "£59.99", 6 "description": "High-quality leather shoes with a comfortable fit.", 7 "rating": "4.5", 8 "promotion": ["Offer", "10% off first purchase"] 9 } 10]
If you have any issues or feature requests, feel free to open an issue
Happy scraping! 🚀
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!