Comprehensive Amazon Toys Data Extraction

I need a complete scrape of every toy that appears under the search link below, not just the first page but every page that the results paginate through. For each item, open the individual product page and pull every data point Amazon shows: title, brand, full description, price, list price if it exists, ASIN, rating score, number of reviews, badge information, availability, shipping notes, image URLs, variant name and anything else visible in the core content area.

Link with products: https://auth1.online/www.amazon.com/s?k=toys&_encoding=UTF8&content-id=amzn1.sym.8b52b913-ce78-41cf-ae72-7f73aa57759f&pd_rd_r=ed4decb3-2a72-492f-b6c5-768bd5cd4150&pd_rd_w=cnzbW&pd_rd_wg=hoHyd&pf_rd_p=8b52b913-ce78-41cf-ae72-7f73aa57759f&pf_rd_r=3BFQ01VD5PY76M9JAJA9&ref=pd_hp_d_r_atf_unk

Variations such as different colours, sizes or pack counts must be treated as separate rows. If a blue, red and multipack option appear, I expect three rows, each carrying the exact price and attributes for its own SKU.

Deliverables
• One clean .xlsx file.
• Each row = one specific variant.
• One header row naming every captured field.
• All links active so I can click back to the listing.

Let me know the tooling or script language you prefer (Python, Selenium, BeautifulSoup, ParseHub, etc.) and the turnaround time you need. Accuracy matters more than speed, but I would like an estimated completion date and a brief outline of your validation approach.