爬虫（滑块验证的破解）

news2024/10/3 6:36:23

基于滑块的验证破解 —— Selenium

在这里插入图片描述

1.可分为三个核心步骤

获取验证码图片
识别图片，计算轨迹距离
寻找滑块，控制滑动

打开网址：https://www.geetest.com/adaptive-captcha-demo

2.获取验证图片

import re
import time
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait

service = Service('driver/chromedriver.exe')
driver = webdriver.Chrome(service=service)

# 1.打开首页
driver.get('https://www.geetest.com/adaptive-captcha-demo')

# 2.点击【滑动图片验证】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[3]',
))
tag.click()

# 3.点击开始验证
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click',
))
tag.click()

# 4.获取背景图片 - 使用了闭包
def fetch_image_func(class_name):
    def inner(dv):
        tag_object = dv.find_element(
            By.CLASS_NAME,
            class_name,
        )

        style_string = tag_object.get_attribute('style')
        match_list = re.findall('url\(\"(.*)\"\);', style_string)
        if match_list:
            return match_list[0]
        return
    return inner

bg_img_url = WebDriverWait(driver, 30, 0.5).until(fetch_image_func('geetest_bg'))
print(f'背景图：{bg_img_url}')


slice_image_url = WebDriverWait(driver, 30, 0.5).until(fetch_image_func('geetest_slice_bg'))
print(f'背景图：{slice_image_url}')

time.sleep(2)
driver.close()