Textile Product Web Scraper Needed

I need a reliable scraping routine built to pull comprehensive textile product data from an e-commerce site (I’ll share the exact URL once we start). The focus is on capturing the main detail buyers would see on the product page and packaging it in a clean, reusable dataset. Here’s what the final output must contain for each item: • Images downloaded in the highest resolution available (HD preferred, original filenames preserved) • Product name • Product category (clothing only) • Full description text • Complete specification table with every field/value pair present on the page • All variants such as size, colour, or other options • Canonical product URL or any internal reference the site exposes A structured CSV or Excel file for the textual data plus a mirrored folder hierarchy for the images will work well. Please ensure the scraper respects the site’s robots policy, uses rotating user-agents or proxies if required, and can be re-run without manual tweaks whenever new SKUs appear. If you have prior experience extracting rich product data—especially clothing—from Amazon, eBay, Walmart, or similarly complex platforms, let me know how you plan to tackle pagination, variant handling, and image retrieval. The sooner we can move from proof-of-concept to a stable script, the better.

Project ID: 40408803