Python制作一个12306查票程序脚本（附完整代码，仅供学习参考）前言首先，先导入本次所需的模块点这里即可免费在线观看请求数据自动识别编码数据解析取值实现全国车次查询再次查询/退出完整代码对于本篇文章有疑问的同学也可以点这里

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我是靠谱客的博主专一魔镜，最近开发中收集的这篇文章主要介绍Python制作一个12306查票程序脚本（附完整代码，仅供学习参考）前言首先，先导入本次所需的模块点这里即可免费在线观看请求数据自动识别编码数据解析取值实现全国车次查询再次查询/退出完整代码对于本篇文章有疑问的同学也可以点这里，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

前言

今天教大家用Python制作一个12306查票程序脚本（仅供学习参考）

首先，先导入本次所需的模块

import requests
import pandas as pd

import json

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请求数据

找到数据来源

url = 'https://kyfw.12306.cn/otn/leftTicket/query'
data = {
    'leftTicketDTO.train_date': train_date,
    'leftTicketDTO.from_station': city_json[from_station],
    'leftTicketDTO.to_station': city_json[to_station],
    'purpose_codes': 'ADULT',
}
headers = {
    'Cookie': '_uab_collina=163108019860709243490927; JSESSIONID=3A879F34238B594124705B10D7C0B0E6; BIGipServerotn=3956736266.64545.0000; guidesStatus=off; highContrastMode=defaltMode; cursorStatus=off; BIGipServerpassport=870842634.50215.0000; RAIL_EXPIRATION=1631354049020; RAIL_DEVICEID=jY49UGp1PWZZ0cY6CWj2wmKFDH60qsPXbu7L4D2DjNDJSM4sbqZmmlUm62-6L3k9SNtBAUgBPn7Rh1-FAxka97-nHNpT3QIh5YIXtw3mGao0mjLNkIv2ayvwqxWyFhdbos5_ziUA3XVil7awDZ0EjzKBAWdl22Hu; route=495c805987d0f5c8c84b14f60212447d; _jc_save_fromStation=%u957F%u6C99%2CCSQ; _jc_save_fromDate=2021-09-08; _jc_save_toDate=2021-09-08; _jc_save_wfdc_flag=dc; _jc_save_toStation=%u5CB3%u9633%u4E1C%2CYIQ',
    # 'Host': 'kyfw.12306.cn',
    # 'Referer': 'https://kyfw.12306.cn/otn/leftTicket/init?linktypeid=dc&fs=%E9%95%BF%E6%B2%99,CSQ&ts=%E5%B2%B3%E9%98%B3%E4%B8%9C,YIQ&date=2021-09-08&flag=N,N,Y',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
response = requests.get(url=url, params=data, headers=headers)

自动识别编码

response.encoding = response.apparent_encoding

数据解析取值

    for index in result:
        # requests.utils.unquote(index)
        index_list = index.replace('有', 'Yes').replace('无', 'No').split('|')
        # print(index_list)
        train_number = index_list[3]  # 车次
        if 'G' in train_number:
            time_1 = index_list[8]  # 出发时间
            time_2 = index_list[9]  # 到达时间
            prince_seat = index_list[32]  # 特等座
            first_class_seat = index_list[31]  # 一等座
            second_class = index_list[30]  # 二等座
            dit = {
                'Num': train_number,
                'Start': time_1,
                'End': time_2,
                'Top': prince_seat,
                'First': prince_seat,
                'Second': second_class,
                'Yz': '-',
                'Wz': '-',
                'Rw': '-',
                'Yw': '-',
            }
        else:
            time_1 = index_list[8]  # 出发时间
            time_2 = index_list[9]  # 到达时间
            hard_seat = index_list[29]  # 硬座
            no_seat = index_list[26]  # 无座
            soft_sleeper = index_list[23]  # 软卧
            hard_sleeper = index_list[28]  # 硬卧
            dit = {
                'Num': train_number,
                'Start': time_1,
                'End': time_2,
                'Top': '-',
                'First': '-',
                'Second': '-',
                'Yz': hard_seat,
                'Wz': no_seat,
                'Rw': soft_sleeper,
                'Yw': hard_sleeper,
            }
        lis.append(dit)
    content = pd.DataFrame(lis)
    print(content)

实现查询一座城市车次数据

实现全国车次查询

f = open('city.json', mode='r', encoding='utf-8')
text = f.read()
city_json = json.loads(text)
while True:
    from_station = input('请输入你出发的城市： ')
    to_station = input('请输入你达到的城市： ')
    train_date = input('请输入乘车时间(2021-09-08/年-月-日)：')

再次查询/退出

again = input('是否继续查询(Y/N): ')
if again == 'Y' or again == 'y':
    continue
else:
    break

完整代码

import requests
import pandas as pd

import json

f = open('city.json', mode='r', encoding='utf-8')
text = f.read()
city_json = json.loads(text)
while True:
    from_station = input('请输入你出发的城市： ')
    to_station = input('请输入你达到的城市： ')
    train_date = input('请输入乘车时间(2021-09-08/年-月-日)：')
    url = 'https://kyfw.12306.cn/otn/leftTicket/query'
    data = {
        'leftTicketDTO.train_date': train_date,
        'leftTicketDTO.from_station': city_json[from_station],
        'leftTicketDTO.to_station': city_json[to_station],
        'purpose_codes': 'ADULT',
    }
    headers = {
        'Cookie': '_uab_collina=163108019860709243490927; JSESSIONID=3A879F34238B594124705B10D7C0B0E6; BIGipServerotn=3956736266.64545.0000; guidesStatus=off; highContrastMode=defaltMode; cursorStatus=off; BIGipServerpassport=870842634.50215.0000; RAIL_EXPIRATION=1631354049020; RAIL_DEVICEID=jY49UGp1PWZZ0cY6CWj2wmKFDH60qsPXbu7L4D2DjNDJSM4sbqZmmlUm62-6L3k9SNtBAUgBPn7Rh1-FAxka97-nHNpT3QIh5YIXtw3mGao0mjLNkIv2ayvwqxWyFhdbos5_ziUA3XVil7awDZ0EjzKBAWdl22Hu; route=495c805987d0f5c8c84b14f60212447d; _jc_save_fromStation=%u957F%u6C99%2CCSQ; _jc_save_fromDate=2021-09-08; _jc_save_toDate=2021-09-08; _jc_save_wfdc_flag=dc; _jc_save_toStation=%u5CB3%u9633%u4E1C%2CYIQ',
        # 'Host': 'kyfw.12306.cn',
        # 'Referer': 'https://kyfw.12306.cn/otn/leftTicket/init?linktypeid=dc&fs=%E9%95%BF%E6%B2%99,CSQ&ts=%E5%B2%B3%E9%98%B3%E4%B8%9C,YIQ&date=2021-09-08&flag=N,N,Y',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
    }
    response = requests.get(url=url, params=data, headers=headers)
    response.encoding = response.apparent_encoding
    result = response.json()['data']['result']
    lis = []
    for index in result:
        # requests.utils.unquote(index)
        index_list = index.replace('有', 'Yes').replace('无', 'No').split('|')
        # print(index_list)
        train_number = index_list[3]  # 车次
        if 'G' in train_number:
            time_1 = index_list[8]  # 出发时间
            time_2 = index_list[9]  # 到达时间
            prince_seat = index_list[32]  # 特等座
            first_class_seat = index_list[31]  # 一等座
            second_class = index_list[30]  # 二等座
            dit = {
                'Num': train_number,
                'Start': time_1,
                'End': time_2,
                'Top': prince_seat,
                'First': prince_seat,
                'Second': second_class,
                'Yz': '-',
                'Wz': '-',
                'Rw': '-',
                'Yw': '-',
            }
        else:
            time_1 = index_list[8]  # 出发时间
            time_2 = index_list[9]  # 到达时间
            hard_seat = index_list[29]  # 硬座
            no_seat = index_list[26]  # 无座
            soft_sleeper = index_list[23]  # 软卧
            hard_sleeper = index_list[28]  # 硬卧
            dit = {
                'Num': train_number,
                'Start': time_1,
                'End': time_2,
                'Top': '-',
                'First': '-',
                'Second': '-',
                'Yz': hard_seat,
                'Wz': no_seat,
                'Rw': soft_sleeper,
                'Yw': hard_sleeper,
            }
        lis.append(dit)
    pd.set_option('display.max_rows', None)
    content = pd.DataFrame(lis)
    print(content)
    again = input('是否继续查询(Y/N): ')
    if again == 'Y' or again == 'y':
        continue
    else:
        break