Scrape a set of online shopping web pages (e.g. Souq, Jumia, AliExpress...etc) to get information about 'shoes' products.
Clean your data and organize them in a well-shaped data frames.
for each model, visualize different shoe's prices between different markets.
Having prices for each shoe's model, predict future prices for each model using linear regression.
Build a recommender system that can be used in any of the available markets.
HI there .Recently I did a similar task which involved web scraping .i used to get images from the website and make a database onto an exel file. This is a easy task and will do it easily.
I can get all data (price, sale of price, color, size, img link, description ....) from a store on aliExpress,..... and export data to excel file. I can finish it tomorrow