As of July 29th 2018, this code is no longer being maintained. This repo is kept up in case anyone would want to look at a practical example of webscraping and data organisation. When the Tour de France 2019 begins, I might update this code for the 2019 edition of the Tour de France website.
collect.py is the first part of the project. It gathers all the data needed from the Tour de France website. It organizes the data in the subfolder ./data/html/ with a folder for each team.
parse.py is the second part of the project. It takes all .html files from data/html/, converts the data to csv-format and writes them into .csv files in ./data/csv/
(I used to have parse.py write one big data.csv file too but I forgot where I wrote the code. This part may be added later)