1、使用read_html()读取静态页面的table

静态页面是指不需要浏览器解析生成，直接获取的html页面的源码，例如，

import pandas as pd
url_mcc = "https://baike.baidu.com/item/%E7%A7%BB%E5%8A%A8%E7%BD%91%E7%BB%9C%E4%BB%A3%E7%A0%81/5935540?fr=aladdin"
dfs = pd.read_html(
    url_mcc,
    match="GSM 900 / GSM 1800 / UMTS 2100",
    header=0,
    converters={"MNC": str},
)
dfs[0].to_excel('~/cjavapy.xlsx', index=False)

相关文档：

Python pandas.DataFrame.to_excel函数方法的使用

Python Pandas pandas.read_html函数方法的使用

2、使用Selenium获取需要浏览器解析的html

参考文档：Python Selenium ChromeDriver 获取指定标签元素内的html

# -*- encoding: utf-8 -*-
# Created on 2022-02-20 15:37:50
# Project: read_html()
from distutils.file_util import write_file
from selenium.webdriver.chrome.service import Service
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
 
chrome_options = Options()
chrome_options.add_argument('lang=zh-CN,zh,zh-TW,en-US,en')
chrome_options.add_argument('--headless')
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
chrome_options.add_argument('--disable-gpu')
chrome_options.add_experimental_option('excludeSwitches', ['enable-automation'])
c_service = Service("/usr/bin/chromedriver")#指定下载好的chromedriver的路径
c_service.command_line_args()
c_service.start()
web = webdriver.Chrome(options=chrome_options)
web.get('https://baike.baidu.com/item/%E7%A7%BB%E5%8A%A8%E7%BD%91%E7%BB%9C%E4%BB%A3%E7%A0%81/5935540?fr=aladdin')
time.sleep(2)
element = web.find_element_by_xpath('/html/body/div[3]/div[2]/div/div[1]')
page_html = element.get_attribute('innerHTML')
print(page_html)
dfs = pd.read_html(
    page_html,
    match="GSM 900 / GSM 1800 / UMTS 2100",
    header=0,
    converters={"MNC": str},
)
dfs[0].to_excel('~/cjavapy.xlsx', index=False)