Comment Comment by philshem Before jumping into frameworks, if your data is lucky enough to be stored in an html table: import pandas as pd dfs = pd.read_html(url) Where ‘dfs’ is an array of dataframes - one item for each html table on the page.https://pandas.pydata.org/pandas-docs/stable/reference/api/p... parent philshem 5 years ago
https://pandas.pydata.org/pandas-docs/stable/reference/api/p...