验证码识别

 

反爬机制：验证码，识别验证码图片中的数据，用于模拟登录操作

 

验证码识别的操作：推荐第三方自动识别——超级鹰等

 

实战一：古诗文网登录页面中的验证码。

　　使用打码平台识别验证码的编码流程：

　　　　-将验证码图片进行本地下载

　　　　-调用平台提供的示例代码进行图片数据识别

 

 1 import requests
 2 from hashlib import md5
 3 from lxml import etree
 4 class Chaojiying_Client(object):
 5 
 6     def __init__(self, username, password, soft_id):
 7         self.username = username
 8         password =  password.encode('utf8')
 9         self.password = md5(password).hexdigest()
10         self.soft_id = soft_id
11         self.base_params = {
12             'user': self.username,
13             'pass2': self.password,
14             'softid': self.soft_id,
15         }
16         self.headers = {
17             'Connection': 'Keep-Alive',
18             'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
19         }
20 
21     def PostPic(self, im, codetype):
22         """
23         im: 图片字节
24         codetype: 题目类型 参考 http://www.chaojiying.com/price.html
25         """
26         params = {
27             'codetype': codetype,
28         }
29         params.update(self.base_params)
30         files = {'userfile': ('ccc.jpg', im)}
31         r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files, headers=self.headers)
32         return r.json()
33 
34     def ReportError(self, im_id):
35         """
36         im_id:报错题目的图片ID
37         """
38         params = {
39             'id': im_id,
40         }
41         params.update(self.base_params)
42         r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers)
43         return r.json()
44 
45 def PicText(picname,chaojiying):
46     im = open(picname, 'rb').read()
47     print(chaojiying.PostPic(im, 1004)['pic_str'])
48 
49 if __name__=="__main__":
50     headers = {
51         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.104 Safari/537.36',
52         'Cookie': 'Hm_lvt_649f268280b553df1f778477ee743752=1613016932; key_kw=; key_cate=zuozhe; Hm_lpvt_649f268280b553df1f778477ee743752=1613016981'
53     }
54     url='https://so.gushiwen.cn/user/login.aspx?from=http://so.gushiwen.cn/user/collect.aspx'
55     #获取网页代码
56     page_text=requests.get(url=url,headers=headers).text
57     #将网页上传到xpath对象
58     tree=etree.HTML(page_text)
59     #获取登录图片并保存在本地
60     src=tree.xpath('//*[@id="imgCode"]/@src')[0]
61     code_img_src='https://so.gushiwen.cn'+src
62     #获取图片
63     img_data=requests.get(url=code_img_src,headers=headers).content
64     #本地保存验证码码图片
65     with open('古诗文验证码.jpg',"wb") as fp:
66         fp.write(img_data)
67     '''
68     开始图片识别验证
69     '''
70     chaojiying = Chaojiying_Client(超级鹰用户名,密码, 软件ID)
71     PicText('古诗文验证码.jpg',chaojiying)