Could you help me on the following using python? DO NOT RELY ON Chatgpt ! Otherwise I would report you.

please screenshot your outputted csv and send me your outputted csv via google sheet so that I can access to. I need to have your google-sheet link. The outputted csv should not be empty.

In this task, you will try to scrape marketing relevant information from both list and product pages on 3 different websites. A list page is one containing more than one product, while a product page is one dedicated to a product.

Consider the following list page URLs:

https://www.missetam.nl/nl/collectie/jurken/

https://www.gap.com/browse/category.do?cid=5664&nav=meganav%3AWomen%3ACategories%3AJeans#pageId=0&department=136

https://www.your-look-for-less.nl/goedkope-blouses

For the first 10 products on these list pages, please obtain the following information available on the list page:

1. Product name
2. Price
3. Discounted price (if available)
4. Position

Consider the following product page URLs:

https://www.missetam.nl/nl/2396153/blouse-cindy-print-blauw/?pageCount=1&pos=434

https://www.gap.com/browse/product.do?pid=794603002&rrec=true&mlink=5001,1,dynamicerror_gapoos1_rr_2&clink=1#pdp-page-content

https://www.your-look-for-less.nl/p/99055

And for the following product page URLs, additionally obtain:

1. Brand
2. Number of photos
3. Colors
4. Product description

Arrange output in a csv file as follows:

URL, list/product page, product name, brand, price, discounted price, position, number of photos, number of colors, product description.

Note: the url 'https://www.missetam.nl/nl/2396153/blouse-cindy-print-blauw/?pageCount=1&pos=434' does not work, so for this product , please return 'not found ' for columns of Brand, Number of photos, Colors and Product description.