python爬虫实战之怎样爬取高德地区

小编给大家分享一下python爬虫实战之怎样爬取高德地区，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！

代码：

import requests

import json

def weatherlist(url1,url2,headers,proxies):

    response = requests.get(url=url1, headers=headers, proxies=proxies).content.decode('utf-8')

    response = json.loads(response)

    for i in response["data"]["cityByLetter"].values():

        for j in i:

            adcode = j["adcode"]

            name = j["name"]

            full_url = url2+adcode

            response = requests.get(url=full_url, headers=headers, proxies=proxies).content.decode('utf-8')

            response = json.loads(response)

            print(response)

            try:

                if response["data"]["data"]:

                    for weather in response["data"]["data"]:

                        for weather in weather['forecast_data']:

                            weather_name = weather['weather_name']

                            temp_min = weather['min_temp']

                            temp_max = weather['max_temp']

                            with open('weather_list.txt', 'a', encoding='utf-8') as fp:

                                fp.write("城市："+name+ " 天气: "+weather_name+" 最高气温: "+ temp_max

                                    +" 最低气温: "+temp_min+'\n')

            except:

                print('空')

if __name__ == '__main__':

    url1 = 'https://www.amap.com/service/cityList'

    url2 = 'https://www.amap.com/service/weather?adcode='

    headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.97 Safari/537.36','Cookie':'BIDUPSID=F6BBCD59FE2A646812DB8DAE641A0BE5; PSTM=1573713375; BAIDUID=F6BBCD59FE2A6468D0329C1E2F60212F:FG=1; BD_UPN=12314353; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; H_PS_PSSID=1452_21098_29568_29221_26350; delPer=0; BD_CK_SAM=1; PSINO=2; H_PS_645EC=50d5uY51q2qJG%2BVlK7rlPmCgY73TcN9qKRz4sPKuBII1GIkIx4QkChitGd4; BDSVRTM=209'}

    proxies = {'http':'124.113.217.5:9999','https':''}

    weatherlist(url1,url2,headers,proxies)

以上是“python爬虫实战之怎样爬取高德地区”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注行业资讯频道！