Scrape a website that is updated daily

I would like a program that I can run easily on a Mac, so if it is programmed in Python and can be run from Terminal, that would be most preferred. When I run the program, it should scrape parts of the data from this website: [login to view URL] Given it is updated daily and may not appear yet, you can see yesterday's here: [login to view URL] Here is the output I would like: 1. Create a 10 row column where the first entry is the name at the top, and then the remaining 9 are the names in the *other* column all in order. It is best described with an example of the output: Trevor Williams Ian Happ Kris Bryant Ben Zobrist . . . . . Kyle Hendricks 2. But rather than using their real names, I would like it to cross-reference the names with this website ([login to view URL]) and use their 'code' names: willt002 happi001 bryak001 zobrb001 schwk001 russa002 aaaaa001 baezj001 heywj001 hendk001 where the formula is the first 4 digits of the last name, then the first digit of the first name, then a number to identify whether its the first person with that abbreviation or not. For example, Trevor Williams would abbreviate to willt001 but he is not the first one with code willt, he is the second, so he is willt002. So when matching names between websites, the first name will matter. Very rarely will there be two people with the exact same name. In that case, it can be left blank or 'error' can be written. 3. Repeat this for all entries (there is usually 30 in a day, but sometimes less). Output should be a 10x30 matrix that can open in CSV or XLS format. Thanks