Automated data scraping and collation

Project has three stages: 1) Data Collection & Analysis: scraping text from 1 website (https://loveracing.nz/RaceInfo.aspx#bm-meeting-results) for the past 12 months results and analysing content for trends/insights to create probability curves for each class of racing, each distance and track conditions using available variables provided in the results. This will require assumptions to be built (with customer input) to include sensitivities and analyse data which will require the most amount of effort and focus. 2) Set up excel file that can scrape 2 x websites (https://loveracing.nz/RaceInfo and https://www.tab.co.nz/racing/today) to obtain data on demand by customer. 3) Compile data for reporting: using all data and assumptions from analysis, provide a ranking of likely outcomes and display favourable selections of horses that the customer should look more closely at within the starting field.