Looking for fashion e-commerce website scrapping

Hi We are looking for someone to scrape a list of 20 e-commerce website. The project would be split in two parts : 1st part : Scrapping The requirements are : get the list of products get the product url / name / description / color (if available) / price / categories and sub-categories get all the images linked to each product and download them in HD for each image, save the url and position (1, 2, 3 ...) on the product page The expected results are for each site : an archive with all the HD images downloaded a csv/json containing the list of product with associated information and images - different colors need to be considered as different product because they have different sets of images (pimkie has different urls for each color, you cannot see them from the product page but you can see them from the lists) - to generalize the data across websites, there's only one category field, which should be an array containing more than what you selected here. For pimkie, I would put the whole breadcrumb as categories (except the first and last), which would meand : ["Vêtements", "PRINTEMPS/ETE", "Jean", "jean mom"] - images need to be in higher resolution (around 3000x3000, or at least 2000x2000), so you need to either find a way to find the "zoomed" version, or in this case (which happens quite often), the size is specified in the url, so you can just replace "sw=760&sh=938" by "sw=3000&sh=3000" - images need to be downloaded 2nd part : Image identification : The requirements are : identify the "flat lay" images (only the front ones) identify the "on model" images identify the matching "flat lay" and "on model" pairs (same product, same color) The expected results are for each site : a csv/json list of identified images and whether they are "flat lay" or "on model" (ignore the others) a csv/json list of matching "flat lay" and "on model" image pairs Kindly refer to the attachment as well. I need you to send 1 completed scrapped listing with accuracy (from [login to view URL] ) for me to assume that you have understood the project well.