Scrape Seven Product Catalogs

I need a full scrape of seven supplier sites—[login to view URL], [login to view URL], [login to view URL], [login to view URL], [login to view URL], [login to view URL] and [login to view URL] The goal is to reproduce each store’s category tree, sub-category structure and complete product catalogue in a master Excel workbook while also saving every high-resolution product image. Organisation Please capture the navigation exactly as it appears online, but let me re-group products where it makes sense, so mix category and product-type labelling when you build the hierarchy. Data fields For every single item I need the product name, long and short descriptions, price, SKU, current stock level, at least one HQ image, plus any technical specs or attributes pushed into separate metafield columns. Also the product and image vendor URL. Images Download all gallery pictures in the highest resolution available and supply them in JPEG, PNG or webp (whichever the site serves). Reference each file name or URL in the spreadsheet so the link between data and picture is clear. Deliverables • One Excel file per website and one consolidated master file containing – full category tree – all product rows with the fields above filled in • Zipped folders of images, organised identically to the category structure • A brief log noting pages that could not be accessed or fields that were missing so I can follow up with suppliers. Please use whichever stack you prefer—Python with Scrapy or Selenium, Node, etc.—as long as the output is clean and deduplicated. I would like a quick sample from one site before you run the complete job, just to confirm column order and field naming.

Project ID: 40314564