用Python采集球员信息，成功预测到了球赛胜负？

用Python采集球员信息，成功预测到了球赛胜负？ 2023-02-03 294

前言

嗨嗨，最近看球赛的朋友多吗

emm怎么说，我对这个虽然兴趣不是很大

但是还是想跟朋友赌赌，自己对这些球员也不是很熟悉，索性叫我的好同事帮我用Python采集了各国球员的一些信息，没料到竟预测成功了！

这次日本队还是有点东西的

知识点

动态数据抓包 requests发送请求 json数据解析

开发环境

python 3.8 运行代码 pycharm 2021.2 辅助敲代码 requests pip install requests

实现代码:

发送请求
获取数据
解析数据
保存数据

import requests     # 发送网络请求的  导入别人写好的功能
import csv          # 写入数据的 内置模块
 
python学习交流Q群：770699889 ### 源码领取
# 伪装
headers = {
          
   
    Cookie: *****; ULV=1669203299775:10:6:4:175.0.61.120_1669203295.444472:1669203296517,
    Host: api.sports.sina.com.cn,
    Referer: http://****.cn/,
    User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36
}
url = http://*****.cn/?p=sports&s=sport_client&a=index&_sport_t_=football&_sport_s_=opta&_sport_a_=teamStatics&show_players=1&type=108&season=2017&id=960&dpc=1

response = requests.get(url=url, headers=headers)

json_data = response.json()

players = json_data[result][data][players]

f = open(日本球队.csv, mode=a, encoding=utf-8, newline=)
csv_writer = csv.writer(f)
csv_writer.writerow([player_name_cn, count, mins_played, goal_assist, goals, total_pass, accurate_pass])
for player in players:
    player_name_cn = player[player_name_cn]                 # 球员名称
    count = player[count]                                   # 场次
    mins_played = player[mins_played]                       # 出场时间
    goal_assist = player[goal_assist]                       # 助攻
    goals = player[goals]                                   # 进球
    total_pass = player[total_pass]                         # 传球
    accurate_pass = player[accurate_pass]                   # 传准
    csv_writer.writerow([player_name_cn, count, mins_played, goal_assist, goals, total_pass, accurate_pass])