Python 从静态网站中删除表

我需要刮表与顶级域名从

我的代码：

import requests
from bs4 import BeautifulSoup

URL = 'https://www.iana.org/domains/root/db'
page = requests.get(URL)

soup = BeautifulSoup(page.content, 'html.parser')

results = soup.find(id='tld-table')

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我如何才能将其以网站上的结构（域、类型、TLD管理器）发送到pandas DataFrame。

pandas已经提供了一些可读取的表格，无需使用BeautifulSoup：

import pandas as pd

url = "https://www.iana.org/domains/root/db"
# This returns a list of DataFrames with all tables in the page. 
df = pd.read_html(url)[0]

---

熊猫已经提供了一些阅读表格的功能，无需使用BeautifulSoup：

import pandas as pd

url = "https://www.iana.org/domains/root/db"
# This returns a list of DataFrames with all tables in the page. 
df = pd.read_html(url)[0]

---

您可以使用pandas

pd.read\u html

import pandas as pd

URL = "https://www.iana.org/domains/root/db"

df = pd.read_html(URL)[0]

print(df.head())
    Domain     Type                            TLD Manager
0     .aaa  generic  American Automobile Association, Inc.
1    .aarp  generic                                   AARP
2  .abarth  generic         Fiat Chrysler Automobiles N.V.
3     .abb  generic                                ABB Ltd
4  .abbott  generic              Abbott Laboratories, Inc.

---

您可以使用pandas

pd.read\u html

import pandas as pd

URL = "https://www.iana.org/domains/root/db"

df = pd.read_html(URL)[0]

print(df.head())
    Domain     Type                            TLD Manager
0     .aaa  generic  American Automobile Association, Inc.
1    .aarp  generic                                   AARP
2  .abarth  generic         Fiat Chrysler Automobiles N.V.
3     .abb  generic                                ABB Ltd
4  .abbott  generic              Abbott Laboratories, Inc.