The Python programming language can scrape information from a web page (a HTML page). Here, I scrape the table element from the performance data page provided by the Associate of Real Estate funds. This index shows the performance of property funds across a quarterly basis; here I look at the quarter ending March 2020. Both the Index and the Property Fund Vision enables investors and their advisers to compare fund performance and other relevant data, to appropriate alternative funds, either individually or at an aggregated level. I turn the table data into soup in Python, meaning that Python can read the structure and then write it into a CSV file.