自动化滑动极验v3示例

import random
import ddddocr
from playwright.sync_api import sync_playwright
import time
import requests

with sync_playwright() as p:
    det = ddddocr.DdddOcr(det=False, ocr=False)

    browser = p.chromium.launch(headless=False, args=[
        '--disable-blink-features=AutomationControlled',
        '--disable-infobars',
        '--disable-web-security',
        '--disable-features=IsolateOrigins,site-per-process'
    ])
    context = browser.new_context(
        user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
        viewport={'width': 1280, 'height': 800}
    )
    page = context.new_page()

    # 打开网页
    page.goto("https://www.zhihu.com/")

    # 找到手机输入位置并输入手机号
    page.fill('//*[@name="username"]', "18888888888")
    time.sleep(1)

    # 找到按钮并点击
    page.click('//*[contains(@class, "CountingDownButton")]')

    # 等待弹窗出现
    time.sleep(3)

    # 获取滑块和背景图片的元素
    bg_img_src = page.get_attribute('//*[@class="yidun_bg-img"]', "src")
    jigsaw_img_src = page.get_attribute('//*[@class="yidun_jigsaw"]', "src")

    # 下载图片
    bg_img_data = requests.get(bg_img_src).content
    jigsaw_img_data = requests.get(jigsaw_img_src).content

    with open("full.jpg", "wb") as f:
        f.write(bg_img_data)

    with open("part.png", "wb") as f:
        f.write(jigsaw_img_data)

    # 重新读取图片并计算滑块需要移动的距离
    with open("part.png", "rb") as f:
        target_bytes = f.read()

    with open("full.jpg", "rb") as f:
        background_bytes = f.read()

    res = det.slide_match(target_bytes, background_bytes)
    distance = res["target"][0] + 8
    print(f"滑块需要移动的距离为 {distance} 像素。")

    # 找到滑块并模拟拖动
    slider = page.locator('//*[@class="yidun_slider__icon"]')
    box = slider.bounding_box()

    # 计算滑动轨迹
    def human_like_track(distance):
        track = []
        current = 0
        mid = distance * 3 / 4
        t = 0.2
        v = 0

        while current < distance:
            if current < mid:
                a = random.uniform(2, 3)
            else:
                a = -random.uniform(2, 4)
            v0 = v
            v = v0 + a * t
            move = v0 * t + 0.5 * a * (t ** 2)
            current += move
            track.append(round(move))

        # 模拟拉扯动作
        over_shoot = random.randint(10, 15)  # 过头的距离稍微大一点
        track.append(over_shoot)
        track.append(-over_shoot + random.randint(1, 3))

        return track

    track = human_like_track(distance)

    # 模拟拖动滑块
    page.mouse.move(box["x"] + box["width"] / 2, box["y"] + box["height"] / 2)
    page.mouse.down()
    current_x = box["x"] + box["width"] / 2
    for move in track:
        current_x += move
        page.mouse.move(current_x, box["y"] + box["height"] / 2)
        if move < 0:  # 拉回来的时候速度稍微慢一点
            time.sleep(random.uniform(0.05, 0.1))
        else:  # 往左的时候速度稍微快一点
            time.sleep(random.uniform(0.01, 0.02))
    page.mouse.up()

    time.sleep(20)
    # 关闭浏览器
    browser.close()