模拟登录古诗文网(模拟登录,验证码识别)

本文主要是介绍模拟登录古诗文网(模拟登录,验证码识别)，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

代码第一次编写

url = 'https://so.gushiwen.cn/user/login.aspx?from=http://so.gushiwen.cn/user/collect.aspx'
page_text = requests.get(url=url, headers=headers).content# 实例化及获取验证码图片
tree = etree.HTML(page_text)
src = 'https://so.gushiwen.cn/' + tree.xpath('//*[@id="imgCode"]/@src')[0]
img_date = requests.get(url=src, headers=headers).content
# 将验证码图片保存到本地
with open('./card.jpg', 'wb')as fp:fp.write(img_date)
time.sleep(1)
text = pytesseract.image_to_string(Image.open('card.jpg'))
print(text)# 模拟登录
load_url = 'https://so.gushiwen.cn/user/login.aspx?from=http%3a%2f%2fso.gushiwen.cn%2fuser%2fcollect.aspx'
load_data = {'from': 'http://so.gushiwen.cn/user/ collect.aspx','email': '','pwd': '','code': text,'denglu': '登录'
}
login_text=requests.post(url=load_url, data=load_data,headers=headers).text
with open('login.html','w',encoding='utf-8') as fp:fp.write(login_text)

古诗文网有两个问题：1.__VIEWSTATE参数是动态的；2.登录时状态码是302，发生了重定位。

暂时先学到这里,之后有其他的办法再作以修改

代码编写于2023.8.4 代码正常运行提示验证码错误

代码第二次编写

import requests
from lxml import etree
import pytesseract
import ddddocrif __name__ == '__main__':session = requests.Session()# 古诗文网登录页面urlget_url = 'https://so.gushiwen.cn/user/login.aspx?from=http://so.gushiwen.cn/user/collect.aspx'# 模拟登录请求头get_header = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:107.0) Gecko/20100101 Firefox/107.0'}# 请求url获取textpage_text = requests.get(url=get_url, headers=get_header).text#  解析HTMLtree = etree.HTML(page_text)#  定位src属性并拼接获得最终验证码urlsrc_url = 'https://so.gushiwen.cn' + tree.xpath('//*[@id="imgCode"]/@src')[0]# 请求验证码url获取二进制src_data = session.get(url=src_url, headers=get_header).content# 将获取的的二进制数据写入到当前目录下获得code.jpgwith open('./code.jpg', 'wb') as fp:fp.write(src_data)#pytesseract识别验证码    # code = pytesseract.image_to_string('code.jpg')# print(code)#ddddocr识别验证码ocr = ddddocr.DdddOcr()text2 = ocr.classification(src_data)print('ddddorc识别出的验证码为:', text2)# 模拟登录__VIEWSTATE = tree.xpath('//*[@id="__VIEWSTATE"]/@value')[0]__VIEWSTATEGENERATOR = tree.xpath('//*[@id="__VIEWSTATEGENERATOR"]/@value')[0]login_url = 'https://so.gushiwen.cn/user/login.aspx?from=http%3a%2f%2fso.gushiwen.cn%2fuser%2fcollect.aspx'data = {'__VIEWSTATE': __VIEWSTATE,'__VIEWSTATEGENERATOR': __VIEWSTATEGENERATOR,'from': 'http://so.gushiwen.cn/user/collect.aspx','email': '','pwd': '','code': text2,'denglu': '登录',}gushiwen = session.post(url=login_url, headers=get_header, data=data).textwith open('./gushiwen.html', 'w', encoding='utf-8') as fp_h:fp_h.write(gushiwen)

pytesseract识别的准确率以及训练的成熟度不是很高更换ddddocr之后就好多了

就是跳转到的HTML页面不好看

代码修改于2023.8.15 代码正常运行运行结果大致正常

代码第三次编写

以下代码承接模拟登录

# 收藏页面的标头
cookie = '收藏页面的cookie'
headers = {'Cookie': cookie,'Referer': 'https://so.gushiwen.cn/user/collect.aspx','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36 Edg/116.0.1938.62'}
# 主页的url
main_url = 'https://www.gushiwen.cn/'
# 收藏页的url
collect_url = 'https://so.gushiwen.cn/user/collect.aspx?type=m&id=4752846&sort=t'
# 主页的响应数据
gushiwen = session.post(url=main_url, headers=get_header, data=data).text
# #查看session内携带的cookie
# cookies_dict = requests.utils.dict_from_cookiejar(session.cookies)
# # 把cookies转化成字典。
# print("cookie:" + str(cookies_dict))
# 收藏页的相应数据
response = session.post(url=collect_url, headers=headers).text
with open('./gushiwen.html', 'w', encoding='utf-8') as fp_h:# 写入fp_h.write(response)

打印session,发现携带的cookie内容与网页内的cookie不一致,于是手动使用cookie,此处在请求中额外携带cookie