E-commerce Product Image Extraction

I need every single product photo that appears on my e-commerce store gathered into one organised package. The site serves images through an unknown third-party host (looks like a CDN URL in the page source), and I have no direct credentials or console access to that service. Your task is to:

• Scan all live product pages, capture every image URL—including thumbnails, hover shots and zoomed-in versions—then download the highest-resolution file available.
• Keep file names intact where possible and sort the downloads into folders named after each product’s SKU or slug so I can match them back later.
• Supply the full URL list you discovered, plus a zipped archive of the images themselves.

I’m fine with whatever tooling suits you best—Python + requests / BeautifulSoup, Node.js, Scrapy, or even a headless browser solution—as long as it’s repeatable and I can run it again if needed. Please include a quick README so I know how to rerun the script on my end.

Acceptance criteria
1. All image variants visible on the front-end are present in the final archive.
2. Folder structure matches the product identifiers.
3. No broken files; spot-check shows images open correctly.
4. Script and brief instructions delivered alongside the archive.

Let me know if you need a staging URL to test on first or have ideas for speeding up large batch downloads without hammering the site.