python 爬虫json数据解析——实例搜狗新型肺炎疫情数据爬取

1.首先登录搜狗网http://sa.sogou.com/new-weball/page/sgs/epidemic?type_page=pcpop

2.刷新找到数据https://lspengine.map.sogou.com/coronavirus/epidemic/search/area/info（爬取时填写的url）

3.分析json数据结构：

 4.清洗数据保存：

 异常数据1：有的市没有“confirmedCount”，“suspectedCount”等属性

 异常数据2：特别行政区不存在“cities”属性

 源代码：

import requests                     #用于请求网页获取网页数据
import csv
import os
import json

#创建csv
outPath = 'D://yiqing_data.csv'
if (os.path.exists(outPath)):
    os.remove(outPath)
else:
    fp = open(outPath, 'wt', newline='', encoding='utf-8')  # 创建csv
    writer = csv.writer(fp)
    writer.writerow(('provinceName', 'cityName', 'confirmedCount', 'curedCount', 'deadCount', 'suspectedCount'))
#定义获取json数据的函数
def get_info(url):
    # 加入请求头
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36'
    }
    res = requests.get(url, headers=headers)
    # 将 JSON 对象转换为 Python 字典
    json_data = json.loads(res.text)
    return json_data

#处理json数据
def parse_data(data):
    for item in data['area']:
        print(item['provinceName'])
        writer.writerow((item['provinceName'], item['provinceName'], item['confirmedCount'], item['curedCount'],
                         item['deadCount'], item['suspectedCount']))
        if('cities' in item.keys()):
            for city in item['cities']:
                print(city['cityName'])
                if("suspectedCount" in city.keys()):#如果有确诊的，一定会有疑似的；那么没有疑似的则一定也没有确诊的
                    writer.writerow((item['provinceName'], city['cityName'], city['confirmedCount'], city['curedCount'],
                                     city['deadCount'], city['suspectedCount']))
                else:
                    writer.writerow((item['provinceName'], city['cityName'], '0', '0', '0', '0'))
        else:#排除类似特别行政区的
            pass

#程序主入口
if __name__ == '__main__':
    url = 'https://lspengine.map.sogou.com/coronavirus/epidemic/search/area/info'
    data=get_info(url)
    '''
    for dict_data in data['area']:
        print(dict_data)
    '''
    parse_data(data)

生成csv截图：