Python之极验滑动验证码的识别（教程+案例）+识别豆瓣登录滑动验证码（附源码）

Python之极验滑动验证码的识别（教程+案例）

def get_tracks(distance, rate=0.6, t=0.2, v=0):"""将distance分割成小段的距离:param distance: 总距离:param rate: 加速减速的临界比例:param a1: 加速度:param a2: 减速度:param t: 单位时间:param t: 初始速度:return: 小段的距离集合"""tracks = []# 加速减速的临界值mid = rate * distance# 当前位移s = 0# 循环while s < distance:# 初始速度v0 = vif s < mid:a = 20else:a = -3# 计算当前t时间段走的距离s0 = v0 * t + 0.5 * a * t * t# 计算当前速度v = v0 + a * t# 四舍五入距离，因为像素没有小数tracks.append(round(s0))# 计算当前距离s += s0return tracksif __name__ == '__main__':tracks = get_tracks(100)print(tracks)print(sum(tracks))

运行结果
在这里插入图片描述


url = "https://accounts.douban.com/passport/login"
driver = webdriver.Chrome("./chromedriver/chromedriver.exe")
driver.get(url)
print("当前的title：",driver.title)driver.find_element_by_xpath('//*[@id="account"]/div[2]/div[2]/div/div[1]/ul[1]/li[2]').click()
driver.find_element_by_xpath('//*[@id="username"]').send_keys("账号")
driver.find_element_by_xpath('//*[@id="password"]').send_keys("密码")
driver.find_element_by_xpath('//*[@id="account"]/div[2]/div[2]/div/div[2]/div[1]/div[4]/a').click()
# 停一下，等待出现
time.sleep(2)# 切换iframe
driver.switch_to.frame(1)
block = driver.find_element_by_xpath('//*[@id="tcaptcha_drag_button"]')
reload = driver.find_element_by_xpath('//*[@id="reload"]')# 滑动操作时需要动作链
# 摁下滑块
ActionChains(driver).click_and_hold(block).perform()
# 移动
ActionChains(driver).move_by_offset(180, 0).perform()
# 获取位移
tracks = get_tracks(30)
# 循环
for track in tracks:# 移动ActionChains(driver).move_by_offset(track, 0).perform()
# 释放
ActionChains(driver).release().perform()
# 判断
if driver.title == "登录豆瓣":print("失败...再来一次...")# 单击刷新按钮刷新reload.click()# 停一下time.sleep(2)
else:print("成功！")time.sleep(5)
driver.quit()

完整代码


# encoding: utf-8
import requests
import time
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChainsdef get_tracks(distance, rate=0.6, t=0.2, v=0):"""将distance分割成小段的距离:param distance: 总距离:param rate: 加速减速的临界比例:param a1: 加速度:param a2: 减速度:param t: 单位时间:param t: 初始速度:return: 小段的距离集合"""tracks = []# 加速减速的临界值mid = rate * distance# 当前位移s = 0# 循环while s < distance:# 初始速度v0 = vif s < mid:a = 20else:a = -3# 计算当前t时间段走的距离s0 = v0 * t + 0.5 * a * t * t# 计算当前速度v = v0 + a * t# 四舍五入距离，因为像素没有小数tracks.append(round(s0))# 计算当前距离s += s0return tracksdef slide(driver):"""滑动验证码"""# 切换iframedriver.switch_to.frame(1)#找到滑块block = driver.find_element_by_xpath('//*[@id="tcaptcha_drag_button"]')#找到刷新reload = driver.find_element_by_xpath('//*[@id="reload"]')while True:# 摁下滑块ActionChains(driver).click_and_hold(block).perform()# 移动ActionChains(driver).move_by_offset(180, 0).perform()#获取位移tracks = get_tracks(30)#循环for track in tracks:#移动ActionChains(driver).move_by_offset(track, 0).perform()# 释放ActionChains(driver).release().perform()#停一下time.sleep(2)#判断if driver.title == "登录豆瓣":print("失败...再来一次...")#单击刷新按钮刷新reload.click()# 停一下time.sleep(2)else:breakdef main():"""主程序"""url = "https://accounts.douban.com/passport/login"driver = webdriver.Chrome("./chromedriver/chromedriver.exe")driver.get(url)driver.find_element_by_xpath('//*[@id="account"]/div[2]/div[2]/div/div[1]/ul[1]/li[2]').click()driver.find_element_by_xpath('//*[@id="username"]').send_keys("账号")driver.find_element_by_xpath('//*[@id="password"]').send_keys("密码")driver.find_element_by_xpath('//*[@id="account"]/div[2]/div[2]/div/div[2]/div[1]/div[4]/a').click()# 停一下，等待出现time.sleep(2)#滑动验证码slide(driver)print("成功")driver.quit()if __name__ == '__main__':main()

识别豆瓣登录滑动验证码（附源码）

完整代码：

#2 实现步骤：
#① 初始化
#初始化链接地址、创建模拟浏览器对象、设置登录账户和密码等信息。EMAIL = '登录账户'
PASSWORD = '登录密码'class CrackGeetest():def __init__(self):self.url = 'https://account.geetest.com/login'self.browser = webdriver.Chrome()#设置显示等待时间self.wait = WebDriverWait(self.browser, 20)self.email = EMAILself.password = PASSWORDdef crack():pass# 程序主入口
if __name__ == '__main__':crack = CrackGeetest()crack.crack()
#② 模拟登录填写，点开滑块验证
#在实例化CrackGeetest对象后调用crack()方法开始模拟登录验证...#调用open()方法，打开登录界面，获取账户和密码输入框节点，完成账户和密码的输入。#调用get_geetest_button()方法获取滑动验证按钮，并点击。class CrackGeetest():#...def get_geetest_button(self):''' 获取初始验证按钮,return：按钮对象 '''button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_radar_tip')))return buttondef open(self):''' 打开网页输入用户名密码, return: None '''self.browser.get(self.url)email = self.wait.until(EC.presence_of_element_located((By.ID, 'email')))password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))email.send_keys(self.email)password.send_keys(self.password)def crack(self):# 输入用户名密码self.open()# 点击验证按钮button = self.get_geetest_button()button.click()#...#...
#③ 获取并储存有无缺口的两张图片
#首先获取无缺口的验证图片，并保存到本地#获取滑块对象，并执行点击，让浏览器中显示有缺口图片#获取有缺口的验证图片，并保存到本地def get_position(self):''' 获取验证码位置, return: 验证码位置(元组) '''img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_canvas_img')))time.sleep(2)location = img.locationsize = img.sizetop,bottom,left,right = location['y'],location['y']+size['height'],location['x'],location['x']+size['width']return (top, bottom, left, right)def get_screenshot(self):''' 获取网页截图, return: 截图对象 '''#浏览器截屏screenshot = self.browser.get_screenshot_as_png()screenshot = Image.open(BytesIO(screenshot))return screenshotdef get_geetest_image(self, name='captcha.png'):''' 获取验证码图片, return: 图片对象 '''top, bottom, left, right = self.get_position()print('验证码位置', top, bottom, left, right)screenshot = self.get_screenshot()#从网页截屏图片中裁剪处理验证图片captcha = screenshot.crop((left, top, right, bottom))captcha.save(name)return captchadef get_slider(self):''' 获取滑块, return: 滑块对象 '''slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_slider_button')))return sliderdef crack(self):#...# 获取验证码图片image1 = self.get_geetest_image('captcha1.png')# 点按呼出缺口slider = self.get_slider()slider.click()# 获取带缺口的验证码图片image2 = self.get_geetest_image('captcha2.png')#...
#④ 获取缺口位置
对比两张图片的所有RBG像素点，得到不一样像素点的x值，即要移动的距离BORDER = 6
INIT_LEFT = 60class CrackGeetest():  def get_gap(self, image1, image2):''' 获取缺口偏移量, 参数：image1不带缺口图片、image2带缺口图片。返回偏移量 '''left = 65for i in range(left, image1.size[0]):for j in range(image1.size[1]):if not self.is_pixel_equal(image1, image2, i, j):left = ireturn leftreturn leftdef is_pixel_equal(self, image1, image2, x, y):'''判断两个像素是否相同:param image1: 图片1:param image2: 图片2:param x: 位置x:param y: 位置y:return: 像素是否相同'''# 取两个图片的像素点（R、G、B）pixel1 = image1.load()[x, y]pixel2 = image2.load()[x, y]threshold = 60if abs(pixel1[0]-pixel2[0])<threshold and abs(pixel1[1]-pixel2[1])<threshold and abs(pixel1[2]-pixel2[2])<threshold:return Trueelse:return Falsedef crack(self):#...# 获取缺口位置gap = self.get_gap(image1, image2)print('缺口位置', gap)# 减去缺口位移gap -= BORDER
#⑤ 获取移动轨迹
模拟人的行为习惯（先匀加速拖动后匀减速拖动），把需要拖动的总距离分成一段一段小的轨迹def get_track(self, distance):'''根据偏移量获取移动轨迹:param distance: 偏移量:return: 移动轨迹'''# 移动轨迹track = []# 当前位移current = 0# 减速阈值mid = distance * 4 / 5# 计算间隔t = 0.2# 初速度v = 0while current < distance:if current < mid:# 加速度为正2a = 2else:# 加速度为负3a = -3# 初速度v0v0 = v# 当前速度v = v0 + atv = v0 + a * t# 移动距离x = v0t + 1/2 * a * t^2move = v0 * t + 1 / 2 * a * t * t# 当前位移current += move# 加入轨迹track.append(round(move))return trackdef crack(self):#...# 获取移动轨迹track = self.get_track(gap)print('滑动轨迹', track)
#⑥ 按照轨迹拖动，完全验证def move_to_gap(self, slider, track):'''拖动滑块到缺口处:param slider: 滑块:param track: 轨迹:return:'''ActionChains(self.browser).click_and_hold(slider).perform()for x in track:ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform()time.sleep(0.5)ActionChains(self.browser).release().perform()def crack(self):#...# 拖动滑块self.move_to_gap(slider, track)success = self.wait.until(EC.text_to_be_present_in_element((By.CLASS_NAME, 'geetest_success_radar_tip_content'), '验证成功'))print(success)
#⑦ 完成登录def login(self):''' 执行登录 return: None '''submit = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'login-btn')))submit.click()time.sleep(10)print('登录成功')def crack(self):#...# 失败后重试if not success:self.crack()else:self.login()