This project is only for Karthik S.
Webscraping and excel expert that can produce high quality results!
1. Scrape 4 different websites for Sku, Price, Sale Price, and Product-url´s.
From 5.000 - 20.000 products from each site.
2. Compare the SKU´s from all scraped sites against a Supplier DataFeed.
3. Remove the SKU´s (products) with no match in the Supplier DataFeed.
4. Create an excel file with 4 tabs/windows with SKU´s and Product-urls, from each scraped website where unmatched SKU´s is removed. Keep these files like this and move on to the next step.
5. For every similar scraped SKU from the 4 websites, keep the second highest "Price"
and the second lowest "Sale Price".
6. Reduce the Price with 1 and reduce the Sale Price with 1 for every SKU.
7. Update the Supplier DataFeed with the new Prices.
8. Update the Supplier DataFeed with the new Sale Prices, but NOT if it is lower than the RRP (the price that already exist in the file).
11 freelancers are bidding on average $172 for this job
If your developer not ready. I can provide a MUlti-threads desktop that fetches data from the 4 sites and do the comparison per your request. Final program can be delivered in less than 1 day.
Hello, I will scrap all product information from 4 different websites for Sku, Price, Sale Price, and product URLs etc. Please ask me the sample for your selected website. Thank you