Python realiza una consulta de información logística expresa

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Directorio de artículos

1. Analizar la página web

El sitio web Express 100 puede consultar fácilmente la información logística de Express

Inserte la descripción de la imagen aquí

Dos, implementación de código python

1. El rastreador de selenio implementa la consulta

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()

El efecto de la operación es el siguiente:
Inserte la descripción de la imagen aquí

2. El rastreador de solicitudes implementa la consulta.

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])

Los resultados son los siguientes: