Python爬蟲模擬登陸嗶哩嗶哩(bilibili)並突破點選驗證碼功能

#快識別網址 http://www.kuaishibie.cn/
#interface
import base64
import json
import requests

def base64_api(uname,pwd,img):
 '''
 驗證碼識別接口
 :param uname: 快識別用戶名
 :param pwd: 快識別密碼
 :param img: 圖片路徑
 :return: 返回識別結果
 '''
 with open(img, 'rb') as f:
 base64_data = base64.b64encode(f.read())
 b64 = base64_data.decode()
 data = {"username": uname, "password": pwd, "image": b64,"typeid":21}
 #result = json.loads(requests.post("http://api.ttshitu.com/base64", json=data).text)
 result = json.loads(requests.post("http://api.ttshitu.com/imageXYPlus", json=data).text)
 if result['success']:
 return result["data"]["result"]
 else:
 return result["message"]

#login_bilibili
from selenium import webdriver
import time
from PIL import Image
from selenium.webdriver import ActionChains #導入動作鏈模塊


KUAI_USERNAME = '快識別賬號'
KUAI_PASSWORD = '快識別密碼'

USERNAME = 'B站賬號'
PASSWORD = 'B站密碼'

#創建瀏覽器對象
driver = webdriver.Chrome(executable_path='chromedriver.exe')
#打開請求網頁頁面
driver.get('https://passport.bilibili.com/login')
driver.implicitly_wait(10) #隱式等待瀏覽器渲染完成，sleep是強制等待
#driver.execute_script("document.body.style.zoom='0.67'") #瀏覽器內容縮放67%
driver.maximize_window()#最大化瀏覽器

'''
用selenium自動化工具操作瀏覽器，操作的順序和平常用瀏覽器操作的順序是一樣的
'''

'''
找到用戶名和密碼框輸入密碼
'''
user_input = driver.find_element_by_xpath('//*[@id="login-username"]') #使用xpath定位用戶名標簽元素
user_input.send_keys(USERNAME)
time.sleep(1)

user_input = driver.find_element_by_xpath('//*[@id="login-passwd"]') #用戶密碼標簽
user_input.send_keys(PASSWORD)
time.sleep(1)

#點擊登錄
Login_input = driver.find_element_by_css_selector('#geetest-wrap > div > div.btn-box > a.btn.btn-login')
Login_input.click()
time.sleep(5)

#對圖片驗證碼進行提取
img_label = driver.find_element_by_css_selector('body > div.geetest_panel.geetest_wind > div.geetest_panel_box.geetest_no_logo.geetest_panelshowclick > div.geetest_panel_next > div > div') #提取圖片標簽

#保存圖片
driver.save_screenshot('big.png') #截取當前整個頁面
time.sleep(5)
#location可以獲取這個元素左上角坐標
print(img_label.location)
#size可以獲取這個元素的寬(width)和高(height)
print(img_label.size)

#計算驗證碼的左右上下橫切面
left = img_label.location['x']
top = img_label.location['y']
right = img_label.location['x'] + img_label.size['width']
down = img_label.location['y'] + img_label.size['height']

im = Image.open('big.png')
im = im.crop((left,top,right,down))
im.save('yzm.png')

#對接打碼平臺
from interface import base64_api #顯示報錯也無妨，可以運行的不要被唬住

img_path = 'yzm.png'
result = base64_api(uname=KUAI_USERNAME, pwd=KUAI_PASSWORD, img=img_path)
print(result)
print('驗證碼識別結果：', result)
result_list = result.split('|')
for result in result_list:
 x = result.split(',')[0]
 y = result.split(',')[1]
 ActionChains(driver).move_to_element_with_offset(img_label, int(x), int(y)).click().perform() # perform()執行整個動作鏈

#點擊確認按鈕
driver.find_element_by_css_selector('body > div.geetest_panel.geetest_wind > div.geetest_panel_box.geetest_no_logo.geetest_panelshowclick > div.geetest_panel_next > div > div > div.geetest_panel > a > div').click()
input() # 用戶輸入 阻塞瀏覽器關閉
# 關閉瀏覽器
driver.quit()