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這篇文章主要為大家詳細介紹了極驗證碼3破解-selenium的實現過程，文中示例代碼介紹的非常詳細，具有一定的參考價值，感興趣的小伙伴們可以參考一下。
import time
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
EMAIL = ''
PASSWORD = ''
BORDER = 6
INIT_LEFT = 60
class CrackGeetest():
def __init__(self):
self.url = 'https://account.zbj.com/login'
self.option = webdriver.ChromeOptions()
# self.option.add_argument('--headless')
# self.option.add_argument('--disable-gpu')
# self.option.add_argument("--user-agent=Mozilla/5.0 HAHA")
self.browser = webdriver.Chrome(executable_path="./chromedriver", options=self.option)
self.wait = WebDriverWait(self.browser, 20)
self.email = EMAIL
self.password = PASSWORD
def __del__(self):
self.browser.close()
def get_geetest_button(self):
"""
獲取初始驗證按鈕
:return:
"""
button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_radar_tip')))
return button
def get_position(self):
"""
獲取驗證碼位置
:return: 驗證碼位置元組
"""
img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_canvas_img')))
time.sleep(2)
location = img.location
size = img.size
top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[
'width']
return (top, bottom, left, right)
def get_screenshot(self):
"""
獲取網頁截圖
:return: 截圖對象
"""
screenshot = self.browser.get_screenshot_as_png()
screenshot = Image.open(BytesIO(screenshot))
return screenshot
def get_slider(self):
"""
獲取滑塊
:return: 滑塊對象
"""
slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_slider_button')))
return slider
def get_geetest_image(self, name='captcha.png', js=''):
"""
獲取驗證碼圖片
:return: 圖片對象
"""
time.sleep(1)
self.browser.execute_script(js)
time.sleep(1)
top, bottom, left, right = self.get_position()
print('驗證碼位置', top, bottom, left, right)
screenshot = self.get_screenshot()
captcha = screenshot.crop((left, top, right, bottom))
captcha.save(name)
return captcha
def open(self):
"""
打開網頁輸入用戶名密碼
:return: None
"""
self.browser.get(self.url)
email = self.wait.until(EC.presence_of_element_located((By.ID, 'username')))
password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))
email.send_keys(self.email)
time.sleep(1)
password.send_keys(self.password)
def get_gap(self, image1, image2):
"""
獲取缺口偏移量
:param image1: 不帶缺口圖片
:param image2: 帶缺口圖片
:return:
"""
left = 60
for 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 = i
return left
return left
def is_pixel_equal(self, image1, image2, x, y):
"""
判斷兩個像素是否相同
:param image1: 圖片1
:param image2: 圖片2
:param x: 位置x
:param y: 位置y
:return: 像素是否相同
"""
# 取兩個圖片的像素點
pixel1 = image1.load()[x, y]
pixel2 = image2.load()[x, y]
threshold = 60
if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs(
pixel1[2] - pixel2[2]) < threshold:
return True
else:
return False
def get_track(self, distance):
"""
根據偏移量獲取移動軌跡
:param distance: 偏移量
:return: 移動軌跡
"""
# 移動軌跡
track = []
# 當前位移
current = 0
# 減速閾值
mid = distance * 4 / 5
# 計算間隔
t = 0.2
# 初速度
v = 0
while current < distance:
if current < mid:
# 加速度為正2
a = 2
else:
# 加速度為負3
a = -3
# 初速度v0
v0 = v
# 當前速度v = v0 + at
v = v0 + a * t
# 移動距離x = v0t + 1/2 * a * t^2
move = v0 * t + 1 / 2 * a * t * t
# 當前位移
current += move
# 加入軌跡
track.append(round(move))
return track
def move_to_gap(self, slider, track):
"""
拖動滑塊到缺口處
:param slider: 滑塊
:param track: 軌跡
: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 login(self):
"""
登錄
:return: None
"""
submit = self.wait.until(EC.element_to_be_clickable((By.XPATH, '//*[@id="login"]//button')))
function(){ //交易品種 http://www.kaifx.cn/question/kaifx/1741.html
submit.click()
time.sleep(10)
print('登錄成功')
def crack(self):
# 輸入用戶名密碼
self.open()
# 點擊驗證按鈕
button = self.get_geetest_button()
button.click()
# 獲取驗證碼圖片
js_1 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";'''
image1 = self.get_geetest_image(name='captcha1.png', js=js_1)
# 獲取帶缺口的驗證碼圖片
js_2 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";'''
image2 = self.get_geetest_image(name='captcha2.png', js=js_2)
# 獲取缺口位置
gap = self.get_gap(image1, image2)
print('缺口位置', gap)
# 減去缺口位移
gap -= BORDER
# 獲取移動軌跡
track = self.get_track(gap)
print('滑動軌跡', track)
# 拖動滑塊
slider = self.get_slider()
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'), '驗證成功'))
print(success)
# 失敗后重試
if not success:
self.crack()
else:
self.login()
if __name__ == '__main__':
crack = CrackGeetest()
crack.crack()
以上就是代碼實現極驗證碼3破解-selenium的詳細內容，代碼詳細清楚，如果在日常工作遇到此問題，希望你能通過這篇文章解決問題。如果想了解更多相關內容，歡迎關注億速云行業資訊頻道！
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