python爬取北京市新冠数据，结果显示'NoneType' object has no attribute 'find'

Question

import requests
from bs4 import BeautifulSoup
import pandas as pd
# 主函数
def main():
    # 百度新冠疫情数据网址
    url = 'https://voice.baidu.com/act/newpneumonia/newpneumonia/?from=osari_aladin_banner&city=%E5%8C%97%E4%BA%AC-%E5%8C%97%E4%BA%AC'
    html = getUrlData(url)
    total_data2 = getCitiData(html)
    saveData(total_data2)
    write_data(saveData, 'E:\py 文件\新冠抓取/BeiJing.csv')
    # 获取网页数据
def getUrlData(url):
    try:
        # get请求，设置超时时间
        r = requests.get(url, headers=headers, timeout=30)
        r.raise_for_status
        r.encoding = r.apparent_encoding
        html = r.text
        return html
    except:
        return '发生异常'
# 获取北京市每个区的疫情数据
def getCitiData(html):
    citi_name_data=[]
    new_diagnosis_data=[]
    existing_diagnosis_data=[]
    cumulative_diagnosis_data=[]
    cured_data=[]
    new_cured_data=[]
    dead_data=[]
    new_dead_data=[]
    asymptomatic_data=[]
    new_asymptomatic_data=[]
    total_data=[]
    soup = BeautifulSoup(html,'html.parser')
    data = soup.find('div',attrs={'class':'data-list'})
    # 找到有唯一标识的属性的input标签
    input1 = data.find('input',attrs={'id':'_209'})
    # 找到input标签的的父标签
    div = input1.parent
    # 找到所有的li
    li = div.find_all('li')
    # 遍历li组成的列表
    for i in range(1,len(li)):
        # 获取区名称
        citi_name = li[i].find('div',attrs={'class':'list-city-name'})
        citi_name_data.append(citi_name.string+'区')
        div = li[i].find_all('div',attrs={'class':'list-city-data'})
        # 获取累计确诊人数
        cumulative_diagnosis = div[0].string
        cumulative_diagnosis_data.append(cumulative_diagnosis)
        # 获取新增确诊人数
        new_diagnosis = div[1].string
        new_diagnosis_data.append(new_diagnosis)
        #获取现有确诊人数
        existing_diagnosis = div[2].string
        existing_diagnosis_data.append(existing_diagnosis)
        # 获取累计治愈人数
        cured = div[3].string
        cured_data.append(cured)
        #获取新增治愈人数
        new_cured = div[4].string
        new_cured_data.append( new_cured)
        # 获取累计死亡人数
        dead = div[5].string
        dead_data.append(dead)
        # 获取新增死亡人数
        new_dead = div[6].string
        new_dead_data.append(new_dead)
        #获取累计无症状人数
        asymptomatic =div[7].string
        asymptomatic_data.append(asymptomatic)
        #获取新增无症状人数
        new_asymptomatic = div[8].string
        new_asymptomatic_data.append(new_asymptomatic)
    total_data.append(citi_name_data)
    total_data.append(cumulative_diagnosis_data)
    total_data.append(new_diagnosis_data)
    total_data.append(existing_diagnosis_data)
    total_data.append(cured_data)
    total_data.append(new_cured_data)
    total_data.append(dead_data)
    total_data.append(new_dead_data)
    total_data.append(asymptomatic_data)
    total_data.append(new_asymptomatic_data)
    return total_data
# 保存数据
def saveData(total_data2):
    df2 = data(total_data2)
    # 将爬取的数据保存为csv文件
    df2.to_csv("北京市各区的新冠肺炎疫情数据.csv",encoding='utf-8')
def data(total_data):
    df = pd.DataFrame({'名称':total_data[0],'累计确诊':total_data[1],'新增确诊':total_data[2],'现有确诊':total_data[3],'累计治愈':total_data[4],
                       '新增治愈':total_data[5],'累计死亡':total_data[6],'新增死亡':total_data[7],'累计无症状':total_data[8],'新增无症状':total_data[9]})
    # 将名称列设置为索引列
    df = df.set_index('名称')
    return df
# 程序入口
if __name__== "__main__":
    main()

问题显示

Answer 1

看报错截图，只有38行有类似代码，看看soup 是不是Nonetype