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    Upvotes98edited Feb 3, 2023 at 15:11

    Pandas can do this right out of the box, saving you from having to parse the html yourself. read_html() extracts all tables from your html and puts them in a list of dataframes. to_csv() can be used to convert each dataframe to a csv file. For the ...

    import requests
    import pandas as pd

    url = 'http://www.ffiec.gov/census/report.aspx?year=2011&state=01&report=demographic&msa=11500'
    html = requests.get(url).content
    df_list = pd.read_html(html)
    df = df_list[-1]
    print(df)
    df.to_csv('my data.csv')

    It's simple enough to do in one line, if you prefer:

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