Project Title: Scraping Footwears from Online Store Puma
Project Description:
The main aim is to create several web scrappers to scrape footwear from online stores (scrape Russian version, if there’s no Russian – English one).
Online-store:
https://ru.puma.com/
Main keys to be parsed:
– Item’s url [str]
– 5 (or less if unavailable) urls of item’s pictures [str]
– Price [int] (IN RUSSIAN RUBLES)
– Old price (if discounted) [int]
– Discount (0% – 99%) [int]
– Category (boots, sneakers, etc..) [str]
– Brand (adidas, nike, etc..) [str]
– Gender (women, men, unisex, girls, boys, kids) [str]
– SKU (just google that, that’s really important for us) [str]
– Sizes (42, 43, 8, 8.5, 9.5 – that’s the correct format for us – regexp:(\d*\.?\d+?) ) [str]
– Size_type (EU, US, UK, FR, IT, etc..) [str]
– Description (usually placed on single item’s webpage) [str]
– Title (model name) [str]
Optional (but if placed on the website – must have)
– Sport [str]
– Color [str]
– Material [str]
– Consider adding a little of documentation when it can be useful.
– Don’t skip the sale, stock or other discounted pages (all of the should be done, especially those that are with discounts)
For similar work requirement feel free to email us on info@logicwis.com.
We are looking for someone to pull data on eBay stores.
We want the name of the eBay store, how many products are active on their eBay listing, and the link to the eBay store.
Can you do this?
Hi,
I want a tool that scrapes Product Stock and Price having SKU and Warehouse of the item.
Website : banggood.com
Hi guys,
I’ll need somebody who can collect some products from http://walmart.com and import them into our Shopify store.
You must collect : Category, Product Name, Description, Price and Images.
I’m looking to scrape data from a given eCommerce website on a periodic basis.
Task:
– Identify all product detail pages to scrape
– Scrape specified fields within each product detail page
– Incrementally store data in DataFrame form
Website link : https://www.shop.com/
I would extract product information from https://www.overstock.com/
You would need you to scrape the information about each of the products present in the eCommerce store (product name, price, # of reviews/ sales, product rating, etc) – all of that being information present in the product page.