I noticed that the discounts for the Rotter y Krauss glasses on their website fluctuated a lot. It sometimes went from 35% to 20% to 30% and so on. So I decided to make a scraper that downloads important data (like prices and discounts) so I can see if there is a pattern (maybe less discount at a certain time) and get the best bang for my buck.

All the values will be stored inside the folder data inside their own csv files. These files have a date (day,month year with hour, minute) as their names. The data inside these files are the names of the glasses, with their prices (ints) and discounts (strings). The discounts are strings because they can have discount for frames or frames+glass (and I didn't feel like exploring more, but I think there is work to be done there).

You can explore the data at https://clementesepulveda.github.io/ryk_scraper/, with visualizations for each glasses, showing their price and discounts for every hour (at the moment of writing this, I do now know if they change every hour, but I'm just making sure).