selenium 12306模拟登陆
代码应用场景 :基于第三方打码网站模拟登陆12306
验证码识别
基于第三方平台超级鹰识别
超级鹰官网:http://www.chaojiying.com/user/
超级鹰使用流程:
注册 登陆(用户中心)充值
创建一个软件:软件ID->生成一个软件ID(901977)
下载实例代码->开发文档->python
1. 重新封装在打码平台下载到的python代码
#!/usr/bin/env python # coding:utf-8 import requests from hashlib import md5 class Chaojiying_Client(object): def __init__(self, username, password, soft_id): self.username = username password = password.encode('utf8') self.password = md5(password).hexdigest() self.soft_id = soft_id self.base_params = { 'user': self.username, 'pass2': self.password, 'softid': self.soft_id, } self.headers = { 'Connection': 'Keep-Alive', 'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)', } def PostPic(self, im, codetype): """ im: 图片字节 codetype: 题目类型 参考 http://www.chaojiying.com/price.html """ params = { 'codetype': codetype, } params.update(self.base_params) files = {'userfile': ('ccc.jpg', im)} r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files, headers=self.headers) return r.json() def ReportError(self, im_id): """ im_id:报错题目的图片ID """ params = { 'id': im_id, } params.update(self.base_params) r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers) return r.json()
2.登陆12306代码逻辑
from selenium import webdriver from selenium.webdriver import ActionChains from CJY import Chaojiying_Client from time import sleep from PIL import Image #pip install Pillow def get_code_text(imgPath,imgType): chaojiying = Chaojiying_Client('超级鹰账号', '超级鹰密码', '创建的软件ID') # 用户中心>>软件ID 生成一个替换 96001 im = open(imgPath, 'rb').read() # 本地图片文件路径 来替换 a.jpg 有时WIN系统须要// return chaojiying.PostPic(im, imgType) bro = webdriver.Chrome(executable_path='./chromedriver.exe') bro.get('https://kyfw.12306.cn/otn/login/init') sleep(2) userName = bro.find_element_by_id('username') userName.send_keys('12306账号') sleep(2) passWord = bro.find_element_by_id('password') passWord.send_keys('12306密码') # bro.set_window_size(800,600) bro.set_window_size(1920,1080) #验证码识别,实现点击操作 bro.save_screenshot('./main.png') #当前页面所对应的一整张图片 #验证码图片的标签 code_img_tag = bro.find_element_by_xpath('//*[@id="loginForm"]/div/ul[2]/li[4]/div/div/div[3]/img') #验证码图片左下角坐标 location = code_img_tag.location #location返回的是位置 size = code_img_tag.size # 裁剪区域 rangle = (int(location['x']),int(location['y']),int(location['x'])+size['width'],int(location['y']+size['height'])) i = Image.open('./main.png') frame = i.crop(rangle) frame.save('./code.png') img_text = get_code_text('./code.png',9004) img_text = img_text['pic_str'] print(img_text,type(img_text)) all_list = [] if '|' in img_text: list_1 = img_text.split('|') count_1 = len(list_1) for i in range(count_1): xy_list = [] x = int(list_1[i].split(',')[0]) y = int(list_1[i].split(',')[1]) xy_list.append(x) xy_list.append(y) print(xy_list) all_list.append(xy_list) else: x = int(img_text.split(',')[0]) y = int(img_text.split(',')[1]) xy_list = [] xy_list.append(x) xy_list.append(y) all_list.append(xy_list) print(all_list) for p in all_list: x = p[0] y = p[1] # x ,y 就是即将要点击的坐标 ActionChains(bro).move_to_element_with_offset(code_img_tag,x,y).click().perform() sleep(1) login_btn = bro.find_element_by_xpath('//*[@id="loginSub"]') login_btn.click() sleep(5) bro.quit()
ps: 如果不成功,最好是把自己电脑文字分辨率调整成100%
We are down, but not beaten. tested but not defeated.