Web Scraping 101 with Python
Before jumping into frameworks, if your data is lucky enough to be stored in an html table:<p><pre><code>    import pandas as pd
    dfs = pd.read_html(url)
</code></pre>
Where ‘dfs’ is an array of dataframes - one item for each html table on the page.<p><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_html.html" rel="nofollow">https://pandas.pydata.org/pandas-docs/stable/reference/api/p...</a>