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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 requestsimport pandas as pdurl = 'http://www.ffiec.gov/census/report.aspx?year=2011&state=01&report=demographic&msa=11500'html = requests.get(url).contentdf_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:
Content Under CC-BY-SA license How to extract tables from websites in Python - Stack Overflow
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