前提要配置好webdriver，不会的可以百度一下，我用的是Chrome的。
Python自动登录京东，这里需要填写自己的账号和密码
id = "*********" # 用户账号passwd = "******" # 用户密码loadpage(id, passwd)
需要说明的是，这几个库都要pip install 安装一下哦。
import cv2import timeimport numpy as npfrom selenium import webdriverfrom urllib import requestfrom mon.action_chains import ActionChains
源码如下，
import cv2import timeimport numpy as npfrom selenium import webdriverfrom urllib import requestfrom mon.action_chains import ActionChainsbrower = webdriver.Chrome()def loadpage(userid, password):url = "/new/login.aspx?"brower.get(url)time.sleep(3)s1 = r'//div/div[@class="login-tab login-tab-r"]/a'userlogin = brower.find_element_by_xpath(s1)userlogin.click()# time.sleep(5)username = brower.find_element_by_id("loginname")username.send_keys(userid)userpswd = brower.find_element_by_id("nloginpwd")userpswd.send_keys(password)# time.sleep(5)brower.find_element_by_id("loginsubmit").click()time.sleep(3)while True:try:getPic()except:print("登陆成功----")breaktime.sleep(5)def getPic():# 用于找到登录图片的大图s2 = r'//div/div[@class="JDJRV-bigimg"]/img'# 用来找到登录图片的小滑块s3 = r'//div/div[@class="JDJRV-smallimg"]/img'bigimg = brower.find_element_by_xpath(s2).get_attribute("src")smallimg = brower.find_element_by_xpath(s3).get_attribute("src")# print(smallimg + '\n')# print(bigimg)# 背景大图命名backimg = "backimg.png"# 滑块命名slideimg = "slideimg.png"# 下载背景大图保存到本地request.urlretrieve(bigimg, backimg)# 下载滑块保存到本地request.urlretrieve(smallimg, slideimg)# 获取图片并灰度化block = cv2.imread(slideimg, 0)template = cv2.imread(backimg, 0)# 二值化后的图片名称blockName = "block.jpg"templateName = "template.jpg"# 将二值化后的图片进行保存cv2.imwrite(blockName, block)cv2.imwrite(templateName, template)block = cv2.imread(blockName)block = cv2.cvtColor(block, cv2.COLOR_RGB2GRAY)block = abs(255 - block)cv2.imwrite(blockName, block)block = cv2.imread(blockName)template = cv2.imread(templateName)# 获取偏移量result = cv2.matchTemplate(block, template, cv2.TM_CCOEFF_NORMED) # 查找block在template中的位置，返回result是一个矩阵，是每个点的匹配结果x, y = np.unravel_index(result.argmax(), result.shape)# print("x方向的偏移", int(y * 0.4 + 18), 'x:', x, 'y:', y)# 获取滑块element = brower.find_element_by_xpath(s3)ActionChains(brower).click_and_hold(on_element=element).perform()ActionChains(brower).move_to_element_with_offset(to_element=element, xoffset=y, yoffset=0).perform()ActionChains(brower).release(on_element=element).perform()time.sleep(3)if __name__ == '__main__':id = "*********" # 用户账号passwd = "******" # 用户密码loadpage(id, passwd)
