Scraping of live tennis matches

I need a person to create a Python script which accesses the live section of [login to view URL] and saves some concrete information for all live matches to a .csv (or similar).

A .csv file (or similar) for each live match should be created with the following information:

1. name of players & name of tournament (see [login to view URL])

2. Pre-match odds (see [login to view URL])

3. Ranking of players (below player names in [login to view URL])

4. Current result, e.g. set1: 6-3, set2: 2-4 (see [login to view URL])

5. Point-by-point for each set (see [login to view URL]): the format could e.g. be a nested dictionary, so for set1 that would start as {'Berlocq C.': {'1-0': [15:0, 15-15, 30-15, 40-15, 40-30]}, 'Meligeni Rodrigues Alves F.': {'1-1': [15:0, 30-0, 30-15, 30-30, 40-30, 40-40, 40-A]}, ...}

The same logic would be for set2 and possibly set3.

This github already does something very similar in a few lines of code, so please feel free to use it as inspiration.

Github for inspiration:

Skills: Python, Web Scraping

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