Load HTML table into pandas dataframe

A small trick I just learned is that if page that has an HTML table in it, you can load it into a pandas dataframe directly without making a separate request to the page:

import pandas as pd

# Get the table 
url = 'webpage-with-table.com'
tables = pd.read_html(url)

# Load table to dataframe
df = tables[0]

The pd.read_html() function returns a list of dataframes, so if there's just one table on the page we need to access it by index [0]. If there are multiple tables on the HTML page, all of them would be stored in the tables list and could be accessed by index position.