I have an Excel sheet with roughly 60 000 EANs. Each row already contains the column headers Main image | image2 | image3 | image4; all the cells underneath those headers are still empty. What I need is simple to describe but large in volume: visit an e-commerce platform, locate the product that matches each EAN, and return the direct URLs of every product photo available (at least the first four). Only image links are required—no descriptions, prices, or reviews. The final deliverable is the same spreadsheet, populated with clean, reachable links for every SKU, plus the Python script you used so I can rerun or adapt it later. Because I’m unsure whether the store enforces rate limits, log-ins, or other anti-scraping measures, please build the solution defensively: handle possible captchas, rotating proxies, user-agent spoofing, or a polite delay strategy as needed. I previously tried a small test script in Python, so sticking with familiar libraries like Requests, BeautifulSoup, Scrapy, or Selenium (headless) will make handing it off easier for me. Accuracy is key: every EAN must point to the correct set of images, no dead links, and the script should log any SKU it can’t match so we can review manually. Once the sheet is filled and the script is commented clearly, the job is done.