Python爬取天气预报，Ta的城市开始降温了

雨点打透心脏的1/2处 2022-12-09 03:30 170阅读 0赞

## 前言 ##

本文的文字及图片来源于网络,仅供学习、交流使用,不具有任何商业用途,如有问题请及时联系我们以作处理。

PS：如有需要Python学习资料的小伙伴可以加点击下方链接自行获取

[python免费学习资料以及群交流解答点击即可加入][python]

--------------------

## 基本环境配置 ##

*  python 3.6
 *  pycharm
 *  requests
 *  parsel
 *  csv

相关模块pip安装即可

## 确定目标网页 ##

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center]

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 1]

## 分析网页 ##

打开开发者工具常规操作~  
看一下网页返回的数据，是否有自己有要的~  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 2]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 3]  
如图所示，这个网站是静态网页，数据都在网页中的 `tr 标签`里面

## 代码部分 ##

*  **请求网页数据**

import requests
    url = 'https://weather.mipang.com/changsha/9yuefen.html'
    headers = { 
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
    }
    response = requests.get(url=url, headers=headers)

*  **解析网页提取想要的数据**

selector = parsel.Selector(response.text)
    trs = selector.css('.tb tr')
    for tr in trs:
        dit = { }
        date = tr.css('td:nth-child(1)::text').get()
        dit['日期'] = date
        max_temperature = tr.css('td:nth-child(2)::text').get()
        dit['最高温度'] = max_temperature
        min_temperature = tr.css('td:nth-child(3)::text').get()
        dit['最低温度'] = min_temperature
        weather = tr.css('td:nth-child(4)::text').get()
        dit['天气'] = weather
        wind = tr.css('td:nth-child(5)::text').get()
        dit['风向'] = wind
        wind_power = tr.css('td:nth-child(6)::text').get()
        dit['风力'] = wind_power
        print(dit)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 4]

*  **保存数据**

f = open('天气.csv', mode='a', encoding='utf-8-sig', newline='')
    csv_writer = csv.DictWriter(f, fieldnames=['日期', '最高温度', '最低温度', '天气', '风向', '风力'])
    csv_writer.writeheader()
    csv_writer.writerow(dit)
    f.close()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 5]

[python]: https://jq.qq.com/?_wv=1027&k=ThcV4SNF
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center]: /images/20221123/c7241a07a691496a9782fbadf4fd868b.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 1]: /images/20221123/86f8bdb084a74f5e9916176df0b7e13e.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 2]: /images/20221123/1e42b8de475d4f33a19b396644185992.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 3]: /images/20221123/c4a37289b9e04d21b6d19899b0c521df.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 4]: /images/20221123/0c590a6fda0948cbaaa945f5c856992f.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 5]: /images/20221123/dc51566f3618482db3a171022787b288.png