Scrape 5,500 Website Items

I need to capture both the text fields and the accompanying images for about 5,500 items spread across a handful of publicly available websites. None of the pages sit behind a login, so access is straightforward—just standard HTTP requests.

Scope of work
• Extract every textual attribute visible on the item pages (titles, descriptions, specs, prices, and any other clearly labelled fields).
• Download the main image for each item; if multiple images are present, grab them all.
• Map image filenames back to the related row so I can trace where each picture belongs.
• Deliver a clean CSV or Excel file plus an organised image folder.

Technical notes
You’re free to code in Python (Scrapy, BeautifulSoup, Selenium where unavoidable) or another language you prefer, provided the script is repeatable and I can run it locally. Please observe polite scraping etiquette—respect robots.txt, add reasonable delays, and keep request rates modest.

Acceptance criteria
1. File contains exactly 5,500 complete rows.
2. All linked images download without corruption and match the sheet reference.
3. Script, instructions, and a quick README are included so I can reproduce the results.

Drop me a quick timeline and, if possible, a short sample of one item scraped in your preferred format so I can confirm the structure before you run the full job.