Python realizes express logistics information query

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1. Analyze the webpage

Express 100 website can easily query the logistics information of express

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Two, python code implementation

1. selenium crawler implements query

from selenium import webdriver
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
import cv2 as cv


# 根据快递单号查询物流信息
def get_screenshot_and_info():
    chrome_driver = r'D:\python\pycharm2020\chromedriver.exe'  # chromedriver的路径
    options = webdriver.ChromeOptions()
    # 关闭左上方 Chrome 正受到自动测试软件的控制的提示
    options.add_experimental_option('useAutomationExtension', False)
    options.add_experimental_option("excludeSwitches", ['enable-automation'])
    # 开启浏览器对象
    browser = webdriver.Chrome(options=options, executable_path=chrome_driver)
    # 访问这个url
    browser.get('https://www.kuaidi100.com/')
    # 显示等待
    wait = WebDriverWait(browser, 5)
    wait.until(ec.presence_of_element_located((By.ID, 'menu-track')))
    # 窗口最大化
    browser.maximize_window()
    browser.find_element_by_name('postid').send_keys(nums)
    browser.find_element_by_id('query').click()
    time.sleep(1)
    browser.find_element_by_id('query').click()
    time.sleep(2)
    browser.execute_script("window.scrollBy(0, 488)")
    # 截图
    browser.get_screenshot_as_file(filename='info.png')   
    items = browser.find_elements_by_xpath('//table[@class="result-info"]/tbody/tr')
    print('物流信息查询结果如下：\n')
    for item in items:
        time_ = item.find_element_by_xpath('.//td[1]').text.replace('\n', ' ')
        contex = item.find_element_by_xpath('.//td[3]').text
        print(f'时间：{time_}')
        print(f'状态：{contex}\n')
    browser.quit()
    # 显示截图
    src = cv.imread(filename='info.png')
    src = cv.resize(src, None, fx=0.7, fy=0.7)
    cv.imshow('result', src)
    cv.waitKey(0)


if __name__ == '__main__':
    nums = input('请输入您的单号：')
    print('\n')
    get_screenshot_and_info()

The operation effect is as follows:
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2. The requests crawler implements query

import requests
import json

def query_info(i, j):
    headers = {
    
    
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24',
        "Referer": "https://www.kuaidi100.com/"
    }
    url = f'https://www.kuaidi100.com/query?type={j}&postid={i}&temp=0.53162373256954096&phone='
    resp = requests.get(url, headers=headers)
    # print(resp.text)
    datas = json.loads(resp.text)['data']
    # print(datas)
    print('您的快递物流信息查询结果如下：\n')
    for item in datas:
        time_ = item['time']
        info = item['context']
        print(f'时间：{time_}')
        print(f'物流状态：{info}' + '\n')


if __name__ == '__main__':
    delivery_dic = {
    
    
        '圆通': 'yuantong', '申通': 'shentong', '中通': 'zhongtong', '百世快递': 'huitongkuaidi',
        '韵达': 'yunda', '顺丰': 'shunfeng', '天天快递': 'tiantian', '邮政': 'youzhengguonei',
        'EMS': 'ems', '京东': 'jd', '德邦快递': 'debangwuliu', '极兔快递': 'jtexpress'
    }
    post_id = input('请输入你要查询物流的快递单号：')
    delivery = input('请输入快递公司：')
    query_info(post_id, delivery_dic[delivery])

The results are as follows: