Python爬取股票数据，做量化交易你总得要有数据吧

桃扇骨 2022-12-09 13:56 60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
 *  csv
 *  time

相关模块pip安装即可

## 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 ##

一切的一切都在图里  
![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]  
找到数据了，直接请求网页，解析数据，保存数据

## 请求网页 ##

import requests
    url = 'https://xueqiu.com/service/v5/stock/screener/quote/list'
    response = requests.get(url=url, params=params, headers=headers, cookies=cookies)
    html_data = response.json()

## 解析数据 ##

data_list = html_data['data']['list']
    for i in data_list:
        dit = { }
        dit['股票代码'] = i['symbol']
        dit['股票名字'] = i['name']
        dit['当前价'] = i['current']
        dit['涨跌额'] = i['chg']
        dit['涨跌幅/%'] = i['percent']
        dit['年初至今/%'] = i['current_year_percent']
        dit['成交量'] = i['volume']
        dit['成交额'] = i['amount']
        dit['换手率/%'] = i['turnover_rate']
        dit['市盈率TTM'] = i['pe_ttm']
        dit['股息率/%'] = i['dividend_yield']
        dit['市值'] = i['market_capital']
        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 3]

## 保存数据 ##

import csv
    f = open('股票数据.csv', mode='a', encoding='utf-8-sig', newline='')
    csv_writer = csv.DictWriter(f, fieldnames=['股票代码', '股票名字', '当前价', '涨跌额', '涨跌幅/%', '年初至今/%', '成交量', '成交额', '换手率/%', '市盈率TTM', '股息率/%', '市值'])
    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 4]

[python]: https://jq.qq.com/?_wv=1027&k=kQrKxXXR
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center]: /images/20221123/0446021b3a1a44c3988ba85497ee8920.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 1]: /images/20221123/f260b4488ef54c60b6cec724b33ac0e2.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 2]: /images/20221123/be65ebc8a3924c3ca50ee0cae5beb79c.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 3]: /images/20221123/998a870750dd4c429a2aefa2e3b90fd6.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 4]: /images/20221123/6cccba608df0440c9989912bef8432f6.png