API web data capture

I’d go for scraping, as the url itself gives you more control over what you’re after. Also, you can easily get the tabular data with pandas.

For example:

import requests
import pandas as pd


headers = {
    "accept": "application/json, text/javascript, */*; q=0.01",
    "accept-encoding": "gzip, deflate, br",
    "accept-language": "en-GB,en-US;q=0.9,en;q=0.8",
    "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.99 Safari/537.36",
    "x-requested-with": "XMLHttpRequest",
}

url = "https://www.pgatour.com/content/pgatour/stats/stat.02674.y2017.eon.t030.html"
html = requests.get(url).text

df = pd.read_html(html, flavor="html5lib")
df = pd.concat(df).drop([0, 1, 2], axis=1)
df.to_csv("golf.csv", index=False)

Gives you this:

You can then keep swapping the urls or modify the stat., y, and eon part of the URL to get different stats. For example, this is 2018 U.S. Open – https://www.pgatour.com/content/pgatour/stats/stat.02674.y2017.eon.t030.html