Python自动化脚本：使用Selenium抓取考生照片并分类保存

import os
import time
import psutil
from selenium.webdriver.chrome.options import Options
from selenium import webdriver
from selenium.webdriver.common.by import By
import openpyxl
import requests

# 检查是否已经存在浏览器实例，如果存在则不再创建
for proc in psutil.process_iter():
    try:
        if 'chrome' in proc.name() and '--remote-debugging-port=9224' in proc.cmdline():
            options = Options()
            options.add_experimental_option('debuggerAddress', '127.0.0.1:9224')
            break
    except:
        pass
else:
    # 创建浏览器实例
    os.system(r'start chrome --remote-debugging-port=9224 --user-data-dir="D:\评阅用"')
    options = Options()
    options.add_experimental_option('debuggerAddress', '127.0.0.1:9224')

# 在已有的浏览器实例中查找标签页
driver = webdriver.Chrome(options=options)
tabs = driver.window_handles
for tab in tabs:
    driver.switch_to.window(tab)
    if driver.title == '考后核验':
        print('登陆成功')
        break

# 打开Excel表格
wb = openpyxl.load_workbook(r'C:\Users\Administrator\Desktop\考后核验.xlsx')
sheet = wb.active

# 创建照片文件夹
photo_folder = r'C:\Users\Administrator\Desktop\照片'
if not os.path.exists(photo_folder):
    os.mkdir(photo_folder)

# 读取K列和H列数据
for row in sheet.iter_rows(min_row=2, values_only=True):
    k_value = row[10]  # K列数据
    h_value = row[7]  # H列数据

# 遍历表格内'A'列数据
for row in sheet.iter_rows(min_row=2, max_row=sheet.max_row, min_col=1, max_col=1):
    for cell in row:
        # 获取学号
        student_id = cell.value
        if student_id:
            # 在网页内查找考生信息
            search_input = driver.find_element(By.XPATH, '//input[@placeholder="姓名/考生号"]')
            search_input.clear()
            search_input.send_keys(student_id)
            time.sleep(1)  # 等待页面加载完成
            search_button = driver.find_element(By.XPATH, '//button[@class="ant-btn ant-btn-primary"]')
            driver.execute_script('arguments[0].click();', search_button)
            time.sleep(1)  # 等待页面加载完成
            
            # 获取时间元素和考场编号元素
            time_elements = driver.find_elements(By.XPATH, '//td[@class="ant-table-column-has-actions ant-table-column-has-sorters ant-table-column-sort" and @style="text-align: center;"]')
            room_elements = driver.find_elements(By.XPATH, '//td[@class="ant-table-column-has-actions ant-table-column-has-sorters" and @style="text-align: center;"]')
            
            # 遍历时间元素和考场编号元素
            for time_element, room_element in zip(time_elements, room_elements):
                # 提取时间和考场编号
                time_value = time_element.text.split('（')[0]
                room_value = room_element.text
                
                # 与K列和H列数据对比
                if time_value == k_value and room_value == h_value:
                    # 创建子文件夹
                    time_folder = os.path.join(photo_folder, time_value)
                    if not os.path.exists(time_folder):
                        os.mkdir(time_folder)
                    room_folder = os.path.join(time_folder, room_value)
                    if not os.path.exists(room_folder):
                        os.mkdir(room_folder)
                    
                    # 找到照片元素并保存
                    photo_element = driver.find_element(By.XPATH, '//div[@class="img-lazy-load"]/img')
                    photo_url = photo_element.get_attribute('src')
                    photo_filename = os.path.join(room_folder, f'{student_id}.jpg')
                    response = requests.get(photo_url)
                    with open(photo_filename, 'wb') as f:
                        f.write(response.content)
                    
                    print(f'学号为{student_id}的照片已保存在{photo_filename}')