python pyppeteer 破解京东滑块
分享一个后端学习网站:
import asyncio
import random
import cv2
from pyppeteer import launch
from urllib import request
# 滑块的缺口距离识别
async def get_distance():
img = cv2.imread(image.png, 0)
template = cv2.imread(template.png, 0)
res = cv2.matchTemplate(img, template, cv2.TM_CCORR_NORMED)
value = cv2.minMaxLoc(res)[2][0]
distance = value * 278/360
return distance
async def main():
browser = await launch({
headless: False,# 需要设置一个路径
userDataDir: rE:mj,
args: [--no-sandbox, --window-size=1366,768],
})
page = await browser.newPage()
await page.setViewport({width: 1366, height: 768})
await page.goto(https://passport.jd.com/login.aspx)
await page.waitFor(1000)
await page.click(div.login-tab-r)
await page.waitFor(1000)
# TODO 模拟人工输入用户名、密码 输入自己的账号密码
await page.type(#loginname, yazhishaw,
{delay: random.randint(60, 121)})
await page.type(#nloginpwd, 123456,
{delay: random.randint(100, 151)})
await page.waitFor(2000)
await page.click(div.login-btn)
await page.waitFor(3000)
# 模拟人工拖动滑块、失败则重试
while True:
if await page.J(#ttbar-login):
print(登录成功!)
await page.waitFor(6000)
break
else:
image_src = await page.Jeval(.JDJRV-bigimg >img, el => el.src)
request.urlretrieve(image_src, image.png)
template_src = await page.Jeval(.JDJRV-smallimg >img, el => el.src)
request.urlretrieve(template_src, template.png)
await page.waitFor(3000)
el = await page.J(div.JDJRV-slide-btn)
box = await el.boundingBox()
await page.hover(div.JDJRV-slide-btn)
distance = await get_distance()
await page.mouse.down()
await page.mouse.move(box[x] + distance + random.uniform(30, 33), box[y], {steps: 20})
await page.waitFor(random.randint(300, 700))
await page.mouse.move(box[x] + distance + 29, box[y], {steps: 20})
await page.mouse.up()
await page.waitFor(3000)
asyncio.get_event_loop().run_until_complete(main())
