pythonSSL证书 cookie session

SSL证书

Cookie

import requests
# url ='https://inv-veri.chinatax.gov.cn'
headers=headers = {
     
        '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'}
# res =requests.get(url,headers=headers,verify=False)
# print(res.text)
url ='http://www.renren.com/974676254/profile'# 个人主界面
res =requests.get(url,headers=headers) #获取响应对象
# html = res.text
with open('rr.html','w',encoding='utf-8')as f:
        f.write(res.text)

##　添加cookie就可以

import requests
# url ='https://inv-veri.chinatax.gov.cn'
headers=headers = {
     
        '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','Cookie':'anonymid=knuah4rlg19q8v; depovince=GUZ; jebecookies=9fa66178-66e2-4a23-b530-4e9c627e6273|||||; _r01_=1; JSESSIONID=abcLTfJ0P4Oov_4lYS_Jx; ick_login=7ca72789-831c-4f66-a502-c49190fe2c46; taihe_bi_sdk_uid=68327472d5a51ad2df417dfe0cdc315f; taihe_bi_sdk_session=4fc61b70afef852aca6587d8a70ef277'}
# res =requests.get(url,headers=headers,verify=False)
# print(res.text)
url ='http://www.renren.com/974676254/profile'# 个人主界面
res =requests.get(url,headers=headers) #获取响应对象
# html = res.text
with open('rr.html','w',encoding='utf-8')as f:
        f.write(res.text)

cookie–反反爬

网页看到数据，源代码没有——ajax

解决

数据找到了：

被反爬了

def query():
        headers = {
     
                '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'}
        res =requests.get('https://kyfw.12306.cn/otn/leftTicket/query?leftTicketDTO.train_date=2021-04-26&leftTicketDTO.from_station=CSQ&leftTicketDTO.to_station=BJP&purpose_codes=ADULT',headers=headers)
        print(res.content.decode('utf-8'))
query()

解决——加cookie

找到了车次[3]和有无票[23]

def query():
        headers = {
     
                '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','Cookie':'_uab_collina=161899568940757828140545; JSESSIONID=304E161D3484678E0FD418195D3D4D92; BIGipServerotn=1943601418.64545.0000; RAIL_EXPIRATION=1619324274046; RAIL_DEVICEID=dfEXRswQNiceFcJmIpFiDoVj-Yvb60zC7oQccY3uj_r7IKN3lRpeAt0t_CJ0aaJiQix2pF0TShxl-V7b8jFcrO2L_bYcWYYei8i4KHtZVrNNE3gCqjc0bZs-HVxVNmiiZftsOgbu5QpEMfaguTM2lxIfX3shQY_N; BIGipServerpassport=770179338.50215.0000; route=9036359bb8a8a461c164a04f8f50b252; _jc_save_wfdc_flag=dc; _jc_save_toDate=2021-04-23; _jc_save_fromStation=%u957F%u6C99%2CCSQ; _jc_save_toStation=%u5317%u4EAC%2CBJP; _jc_save_fromDate=2021-04-26'}
        res =requests.get('https://kyfw.12306.cn/otn/leftTicket/query?leftTicketDTO.train_date=2021-04-26&leftTicketDTO.from_station=CSQ&leftTicketDTO.to_station=BJP&purpose_codes=ADULT',headers=headers)
        # print(res.content.decode('utf-8'))
        return res.json()['data']['result'] #requests里面有json
for i in query():
        # print(i)
        list1 =i.split('|') #split后会分成不同的list列表
        # 定义一个标记，给每个数据做标记
        j =0
        for n in list1:
                print(j,n)
                j +=1
       通过以上测试我们知道了，列出下表索引为3，软卧索引为23数据
         if list1[23] !='无' and list1[23]!='':
                 print(list1[3],'有票',list1[23])
         else:
                 print(list1[3],'无票')

要注意：没有注释j=0到j+=1这里，没注释会这样：

注释了就ok了：

session

import requests


def login():
    data = {
     
        'answer': '181, 29',
        'rand': 'sjrand',
        'login_site': 'E'
    }
    headers = {
     
            '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'}
    res = requests.post('https://kyfw.12306.cn/passport/captcha/captcha-check',data=data,headers=headers)
    print(res.text)
login()

新标签打开验证码图片

要去掉data这一行

可以了

import base64
url='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'
img =base64.b64decode(url)
with open('code1.png','wb') as f:
    f.write(img)

直接在url找图片——删掉64

需要保持session通话

import requests
req =requests.session()# 保持会话

def login():
    # 找到图片
    pic_res =req.get('https://kyfw.12306.cn/passport/captcha/captcha-image?login_site=E&module=login&rand')
    codeImage=pic_res.content
    with open('code.png','wb')as f:
        f.write(codeImage)
    # 从验证码左上角找
    codeStr =input('请输入坐标')
    data = {
     
        'answer': '181, 29',
        'rand': 'sjrand',
        'login_site': 'E'
    }
    headers = {
     
            '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'}
    res = req.post('https://kyfw.12306.cn/passport/captcha/captcha-check',data=data,headers=headers)
    print(res.text)
login()

截图看坐标的时候从第一张图片左上角开始