Scrape tables into dataframe with BeautifulSoup

Question

I\'m trying to scrape the data from the coins catalog.

There is one of the pages. I need to scrape this data into Dataframe

So far I have this code:

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Answer 1

Try:

import pandas as pd
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
table = soup.find('table', attrs={'class':'subs noBorders evenRows'})
table_rows = table.find_all('tr')

res = []
for tr in table_rows:
    td = tr.find_all('td')
    row = [tr.text.strip() for tr in td if tr.text.strip()]
    if row:
        res.append(row)


df = pd.DataFrame(res, columns=["Year", "Mintage", "Quality", "Price"])
print(df)

Output:

   Year  Mintage Quality    Price
0  1882  108,000     UNC        —
1  1883  786,000     UNC  ~ $4.03