'Webscraping a table from VegasInsider

I'd like to scrape this table from Vegas Insider

I am a total beginner when it comes to web scraping. I have tried a few different ways via stackoverflow but haven't been able to nail it down.

This is as far as I have been able to get.

from bs4 import BeautifulSoup
import requests

source = requests.get('https://www.vegasinsider.com/college-basketball/odds/las-vegas/money/').text

soup = BeautifulSoup(source, "html.parser")
tbl = soup.find('table', class_='frodds-data-tbl')
for matchups in tbl.find_all('td', {'class': ['viCellBg1', 'oddsGameCell','cellTextNorm','cellTextNorm']}):
    if matchups.span is not None:
        gameDate = matchups.span.text
        print(gameDate)

    for b_ in matchups.find_all('b'):
        print(b_.a.text)

I'd eventually send these results to a CSV and change the column headers to match the book names on the table. Any help here is appreciated.

Solution 1:^[1]

If you don't care about the formatting, you can use pd.read_html:

import pandas as pd
url = "https://www.vegasinsider.com/college-basketball/odds/las-vegas/money/"
pd.read_html(url)[7]

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Source: Stack Overflow

Solution	Source
Solution 1	rachwa

'Webscraping a table from VegasInsider

Solution 1:[1]

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Related Questions

Solution 1:^[1]