Web Scraping for Ecommerce

Hello Thiago, this is Juan Pablo,
I am working in a project that is a web app where users can find the cheapest price in the market for the dog food they want to buy. Users can search the dog food (name of the products are in spanish) they want for their pets and the web app should show which marketplace have the cheapest one. Consider that even it is the same product, marketplaces may have different name formats and ways to choose how many kilos (kg) you want.
For example, if we search "ricocan adulto 15kg cordero y cereales", you can find these different formats:
- gopet (https://www.gopet.pe/ricocan-cordero-y-cereales-adulto-raza-mediana-y-grande-15-kg-20200309/p)
- SuperPet (https://superpet.pe/alimento-seco-perros/5654-283-ricocan-cordero-y-cereales-adultos-razas-medianas-y-grandes-x-01-kg#/13-peso-15_kg)
- RoyalPet (https://royalpet.pe/producto/ricocan-adulto-cordero-y-cereales-15-kg/)

In this stage, I will need to scan 5 different marketplaces and have the information of 13 brands of dog foods, and the web app should extract, normalize, compare and show which is the marketplaces with the lowest price.

Please let me know if you have experience with this kind of developments, if you are interested to participate and the budget.
Best regards