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.
14 freelance font une offre moyenne de $34 pour ce travail
Hey , I read out your requirement thoroughly.I can scrape data from those websites as you described in job post . I assure you that I'll provide you best quality of work . Eagarly waiting here for your reply. Rega Plus
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Hi there, I have read your project description and I will be glad to work for you. I have the skills required for this job and I have more than 4 years of experience in data science I will extract the data you wa Plus
Hi, I have following good working skills as well as I have done scrapping for many sites + PDF scrapping + Image scrapping. - Python/Django/Flask - Machine Learning - Tensorflow, Keras - Scipy, Numpy - Scilearn - AI Plus
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
***** Scraping Expert ***** Hello. I have read your job description carefully. I have full experience in Web Scraping with PHP and Python. So I can do your project perfectly. I can start just now and I can deliver good Plus