I’m looking for a reliable developer who can deliver a script—or lightweight desktop tool—that automatically pulls thousands of product photos for me. The task focuses on two source types: specific e-commerce sites I’ll provide and various retailer websites that are publicly accessible. All images must be saved in jpg format only; no PNG or GIF handling is required. Key requirements • Crawl product pages in bulk and download every primary and variant image. • Respect robots.txt and reasonable request rates so we avoid being blocked. • No need to bypass CAPTCHAs or deal with login walls—the target pages are fully public. • Output file names should follow a simple convention I’ll share (SKU or page slug). • Provide clear setup instructions so I can run the scraper myself on Windows or macOS. A Python solution using requests, BeautifulSoup, Scrapy, or similar libraries is fine, but I’m open to other languages if they suit the job better. Deliverables 1. Fully working script/tool with commented source code. 2. Read-me explaining prerequisites, install steps, and how to change target URLs. 3. A short demo (screenshots or video) proving it pulls a few hundred images successfully. If you’ve built web scrapers before—especially ones that handle large image batches—let me know what stack you prefer and how quickly you can turn this around.