day06---selenium剩余操作和自动登录
今日内容:
注意: selenium驱动的浏览器是干净的，没有任何缓存。
1、selenium剩余用法
2、selenium万能登录破解
3、selenium爬取京东商品信息
4、破解极验滑动验证码
from selenium import webdriver
import time
driver = webdriver.Chrome(r'D:\BaiduNetdiskDownload\chromedriver_win32\chromedriver.exe')
# 把窗口转成全屏
driver.maximize_window()
try:
driver.get('https://dig.chouti.com/')
driver.implicitly_wait(10)
time.sleep(5)
# 1、点击登录
login_btn = driver.find_element_by_id('login_btn')
login_btn.click()
time.sleep(2)
# 2、输入用户名
phone = driver.find_element_by_class_name('login-phone')
phone.send_keys('15622792660')
# 3、输入密码
pwd = driver.find_element_by_class_name('pwd-password-input')
pwd.send_keys('kermit46709394')
# 4、确认登录
login_submit = driver.find_element_by_class_name('btn-large')
login_submit.click()
time.sleep(20)
# 捕获异常并打印
except Exception as e:
print(e)
finally:
driver.close()
from selenium import webdriver
driver = webdriver.Chrome(r'D:\BaiduNetdiskDownload\chromedriver_win32\chromedriver.exe')
try:
# 隐式等待: 写在get请求前
driver.implicitly_wait(5)
driver.get('https://doc.scrapy.org/en/latest/_static/selectors-sample1.html')
# 显式等待: 写在get请求后
# wait.until(...)
'''
<html>
<head>
<base href='http://example.com/' />
<title>Example website</title>
</head>
<body>
<div id='images'>
<a href='image1.html'>Name: My image 1 <br /><img src='image1_thumb.jpg' /></a>
<a href='image2.html'>Name: My image 2 <br /><img src='image2_thumb.jpg' /></a>
<a href='image3.html'>Name: My image 3 <br /><img src='image3_thumb.jpg' /></a>
<a href='image4.html'>Name: My image 4 <br /><img src='image4_thumb.jpg' /></a>
<a href='image5.html'>Name: My image 5 <br /><img src='image5_thumb.jpg' /></a>
</div>
</body>
</html>
'''
# 根据xpath语法查找元素
# / 从根节点开始找第一个
html = driver.find_element_by_xpath('/html')
# html = driver.find_element_by_xpath('/head') # 报错
print(html.tag_name)
# // 从根节点开始找任意一个节点
div = driver.find_element_by_xpath('//div')
print(div.tag_name)
# @
# 查找id为images的div节点
div = driver.find_element_by_xpath('//div[@id="images"]')
print(div.tag_name)
print(div.text)
# 找到第一个a节点
a = driver.find_element_by_xpath('//a')
print(a.tag_name)
# 找到所有a节点
a_s = driver.find_elements_by_xpath('//a')
print(a_s)
# 找到第一个a节点的href属性
# get_attribute:获取节点中某个属性
a = driver.find_element_by_xpath('//a').get_attribute('href')
print(a)
finally:
driver.close()
''''''
'''
点击、清除操作
'''
# from selenium import webdriver
# from selenium.webdriver.common.keys import Keys
# import time
#
# driver = webdriver.Chrome(r'D:\BaiduNetdiskDownload\chromedriver_win32\chromedriver.exe')
#
# try:
# driver.implicitly_wait(10)
# # 1、往jd发送请求
# driver.get('https://www.jd.com/')
# # 找到输入框输入围城
# input_tag = driver.find_element_by_id('key')
# input_tag.send_keys('围城')
# # 键盘回车
# input_tag.send_keys(Keys.ENTER)
# time.sleep(2)
# # 找到输入框输入墨菲定律
# input_tag = driver.find_element_by_id('key')
# input_tag.clear()
# input_tag.send_keys('墨菲定律')
# # 找到搜索按钮点击搜索
# button = driver.find_element_by_class_name('button')
# button.click()
# time.sleep(10)
#
# finally:
# driver.close()
'''
获取cookies （了解）
'''
# from selenium import webdriver
# import time
#
# driver = webdriver.Chrome(r'D:\BaiduNetdiskDownload\chromedriver_win32\chromedriver.exe')
#
# try:
# driver.implicitly_wait(10)
# driver.get('https://www.zhihu.com/explore')
# print(driver.get_cookies())
#
# time.sleep(10)
# finally:
# driver.close()
'''
选项卡
'''
#选项卡管理：切换选项卡，有js的方式windows.open,有windows快捷键：
# ctrl+t等，最通用的就是js的方式
# import time
# from selenium import webdriver
#
# browser = webdriver.Chrome()
# try:
# browser.get('https://www.baidu.com')
#
# # execute_script: 执行javascrpit代码
# # 弹窗操作
# # browser.execute_script('alert("tank")')
# # 新建浏览器窗口
# browser.execute_script(
# '''
# window.open();
# '''
# )
# time.sleep(1)
# print(browser.window_handles) # 获取所有的选项卡
# # 切换到第二个窗口
# # 新:
# browser.switch_to.window(browser.window_handles[1])
# # 旧:
# # browser.switch_to_window(browser.window_handles[1])
#
# # 第二个窗口往淘宝发送请求
# browser.get('https://www.taobao.com')
# time.sleep(5)
#
# # 切换到第一个窗口
# browser.switch_to_window(browser.window_handles[0])
# browser.get('https://www.sina.com.cn')
#
# time.sleep(10)
# finally:
# browser.close()
'''
ActionChangs动作链
'''
# from selenium import webdriver
# from selenium.webdriver import ActionChains
# import time
#
# driver = webdriver.Chrome()
# driver.implicitly_wait(10)
# driver.get('http://www.runoob.com/try/try.php?filename=jqueryui-api-droppable')
#
# try:
#
# # driver.switch_to_frame('iframeResult')
# # 切换到id为iframeResult的窗口内
# driver.switch_to.frame('iframeResult')
#
# # 源位置
# draggable = driver.find_element_by_id('draggable')
#
# # 目标位置
# droppable = driver.find_element_by_id('droppable')
#
# # 调用ActionChains，必须把驱动对象传进去
# # 得到一个动作链对象，复制给一个变量
# actions = ActionChains(driver)
#
# # 方式一: 机器人
# # 瞬间把源图片位置秒移到目标图片位置
# # actions.drag_and_drop(draggable, droppable) # 编写一个行为
# # actions.perform() # 执行编写好的行为
#
#
# # 方式二: 模拟人的行为
# source = draggable.location['x']
# target = droppable.location['x']
# print(source, target)
#
# distance = target - source
# print(distance)
#
# # perform：每个动作都要调用perform执行
#
# # 点击并摁住源图片
# ActionChains(driver).click_and_hold(draggable).perform()
#
# s = 0
# while s < distance:
# # 执行位移操作
# ActionChains(driver).move_by_offset(xoffset=2, yoffset=0).perform()
# s += 2
#
# # 释放动作链
# ActionChains(driver).release().perform()
#
# time.sleep(10)
#
#
# finally:
# driver.close()
'''
前进、后退
'''
# from selenium import webdriver
# import time
#
# driver = webdriver.Chrome()
#
# try:
# driver.implicitly_wait(10)
# driver.get('https://www.jd.com/')
# driver.get('https://www.baidu.com/')
# driver.get('https://www.cnblogs.com/')
#
# time.sleep(2)
#
# # 回退操作
# driver.back()
# time.sleep(1)
# # 前进操作
# driver.forward()
# time.sleep(1)
# driver.back()
# time.sleep(10)
#
# finally:
# driver.close()
from selenium import webdriver
from selenium.webdriver import ChromeOptions
import time
r'''
步骤:
1、打开文件的查看，显示隐藏文件
2、找到C:\Users\administortra\AppData\Local\Google\Chrome\User Data
删除Default文件
3、重新打开浏览器，并登陆百度账号
- 此时会创建一个新的Default缓存文件
4、添加cookies
5、关闭谷歌浏览器后执行程序
'''
# 获取options对象，参数对象
options = ChromeOptions()
# 获取cookies保存路径
# 'C:\Users\administortra\AppData\Local\Google\Chrome\User Data'
profile_directory = r'--user-data-dir=C:\Users\administortra\AppData\Local\Google\Chrome\User Data'
# 添加用户信息目录
options.add_argument(profile_directory)
# 把参数加载到当前驱动中 chrome_options默认参数，用来接收options对象
driver = webdriver.Chrome(chrome_options=options)
try:
driver.implicitly_wait(10)
driver.get('https://www.baidu.com/')
'''
BDUSS:*****
'''
# 添加用户cookies信息
# name、value必须小写
driver.add_cookie({"name": "BDUSS", "value": "用户session字符串"})
# 刷新操作
driver.refresh()
time.sleep(10)
finally:
driver.close()
# ''''''
# '''
# 爬取京东商品信息:
# 请求url:
# https://www.jd.com/
# 提取商品信息:
# 1.商品详情页
# 2.商品名称
# 3.商品价格
# 4.评价人数
# 5.商品商家
# '''
# from selenium import webdriver
# from selenium.webdriver.common.keys import Keys
# import time
#
# driver = webdriver.Chrome()
#
# try:
# driver.implicitly_wait(10)
# # 1、往京东主页发送请求
# driver.get('https://www.jd.com/')
#
# # 2、输入商品名称，并回车搜索
# input_tag = driver.find_element_by_id('key')
# input_tag.send_keys('macbook')
# input_tag.send_keys(Keys.ENTER)
# time.sleep(2)
#
# # 通过JS控制滚轮滑动获取所有商品信息
# js_code = '''
# window.scrollTo(0,5000);
# '''
# driver.execute_script(js_code) # 执行js代码
#
# # 等待数据加载
# time.sleep(2)
#
# # 3、查找所有商品div
# # good_div = driver.find_element_by_id('J_goodsList')
# good_list = driver.find_elements_by_class_name('gl-item')
# n = 1
# for good in good_list:
# # 根据属性选择器查找
# # 商品链接
# good_url = good.find_element_by_css_selector(
# '.p-img a').get_attribute('href')
#
# # 商品名称
# good_name = good.find_element_by_css_selector(
# '.p-name em').text.replace("\n", "--")
#
# # 商品价格
# good_price = good.find_element_by_class_name(
# 'p-price').text.replace("\n", ":")
#
# # 评价人数
# good_commit = good.find_element_by_class_name(
# 'p-commit').text.replace("\n", " ")
#
# # 商品商家
# good_from = good.find_element_by_class_name(
# 'J_im_icon').text.replace("\n", " ")
#
# good_content = f'''
# 商品链接: {good_url}
# 商品名称: {good_name}
# 商品价格: {good_price}
# 评价人数: {good_commit}
# 商品商家: {good_from}
# \n
# '''
# print(good_content)
# with open('jd.txt', 'a', encoding='utf-8') as f:
# f.write(good_content)
#
# next_tag = driver.find_element_by_link_text('下一页')
#
# next_tag.click()
#
# time.sleep(10)
#
#
# finally:
# driver.close()
''''''
'''
爬取京东商品信息:
请求url:
https://www.jd.com/
提取商品信息:
1.商品详情页
2.商品名称
3.商品价格
4.评价人数
5.商品商家
'''
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
def get_good(driver):
try:
# 通过JS控制滚轮滑动获取所有商品信息
js_code = '''
window.scrollTo(0,5000);
'''
driver.execute_script(js_code) # 执行js代码
# 等待数据加载
time.sleep(2)
# 3、查找所有商品div
# good_div = driver.find_element_by_id('J_goodsList')
good_list = driver.find_elements_by_class_name('gl-item')
n = 1
for good in good_list:
# 根据属性选择器查找
# 商品链接
good_url = good.find_element_by_css_selector(
'.p-img a').get_attribute('href')
# 商品名称
good_name = good.find_element_by_css_selector(
'.p-name em').text.replace("\n", "--")
# 商品价格
good_price = good.find_element_by_class_name(
'p-price').text.replace("\n", ":")
# 评价人数
good_commit = good.find_element_by_class_name(
'p-commit').text.replace("\n", " ")
good_content = f'''
商品链接: {good_url}
商品名称: {good_name}
商品价格: {good_price}
评价人数: {good_commit}
\n
'''
print(good_content)
with open('jd.txt', 'a', encoding='utf-8') as f:
f.write(good_content)
next_tag = driver.find_element_by_class_name('pn-next')
next_tag.click()
time.sleep(2)
# 递归调用函数
get_good(driver)
time.sleep(10)
finally:
driver.close()
if __name__ == '__main__':
good_name = input('请输入爬取商品信息:').strip()
driver = webdriver.Chrome()
driver.implicitly_wait(10)
# 1、往京东主页发送请求
driver.get('https://www.jd.com/')
# 2、输入商品名称，并回车搜索
input_tag = driver.find_element_by_id('key')
input_tag.send_keys(good_name)
input_tag.send_keys(Keys.ENTER)
time.sleep(2)
get_good(driver)
''''''
'''
破解极验滑动验证
博客园登录url:
https://account.cnblogs.com/signin?returnUrl=https%3A%2F%2Fwww.cnblogs.com%2F
1、输入用户名与密码，并点击登录
2、弹出滑动验证，获取有缺口与完整的图片
3、通过像素点进行比对，获取滑动位移距离
4、模拟人的行为轨迹
5、开始滑动
'''
from selenium import webdriver # 用来驱动浏览器的
from selenium.webdriver import ActionChains # 破解滑动验证码的时候用的 可以拖动图片
import time
from PIL import Image # pip3 install pillow
import random
option = webdriver.ChromeOptions()
option.add_argument('disable-infobars')
driver = webdriver.Chrome(chrome_options=option)
def get_snap(driver):
# selenium自带的截图网页全屏图片
driver.save_screenshot('snap.png')
img = driver.find_element_by_class_name('geetest_canvas_img')
left = img.location['x']
upper = img.location['y']
right = left + img.size['width']
lower = upper + img.size['height']
# print(left, upper, right, lower)
img_obj = Image.open('snap.png')
# 对屏幕进行截取,获取滑动验证图片
image = img_obj.crop((left, upper, right, lower))
return image
def get_image1(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";
console.log(x)
'''
time.sleep(1)
driver.execute_script(js_code)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_image2(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";
console.log(x)
'''
driver.execute_script(js_code)
time.sleep(1)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_distance(image1, image2):
# 初始值
start = 60
# 滑块色差
color_num = 60
for x in range(start, image1.size[0]):
for y in range(image1.size[1]):
rgb1 = image1.load()[x, y]
rgb2 = image2.load()[x, y]
r = abs(rgb1[0] - rgb2[0])
g = abs(rgb1[1] - rgb2[1])
b = abs(rgb1[2] - rgb2[2])
if not (r < color_num and g < color_num and b < color_num):
return x - 7
def get_stacks(distance):
distance += 20
'''
匀加速\减速运行
v = v0 + a * t
位移:
s = v * t + 0.5 * a * (t**2)
'''
# 初速度
v0 = 0
# 加减速度列表
a_list = [3, 4, 5]
# 时间
t = 0.2
# 初始位置
s = 0
# 向前滑动轨迹
forward_stacks = []
mid = distance * 3 / 5
while s < distance:
if s < mid:
a = a_list[random.randint(0, 2)]
else:
a = -a_list[random.randint(0, 2)]
v = v0
stack = v * t + 0.5 * a * (t ** 2)
# 每次拿到的位移
stack = round(stack)
s += stack
v0 = v + a * t
forward_stacks.append(stack)
back_stacks = [-1, -1, -2, -3, -2, -3, -2, -2, -3, -1]
return {'forward_stacks': forward_stacks, 'back_stacks': back_stacks}
def main():
try:
driver.get('https://passport.cnblogs.com/user/signin')
driver.implicitly_wait(5)
# 1.输入用户名与密码,点击登录
username = driver.find_element_by_id('LoginName')
password = driver.find_element_by_id('Password')
login_button = driver.find_element_by_class_name('ladda-label')
time.sleep(1)
username.send_keys('_tank_')
time.sleep(1)
password.send_keys('k46709394.')
# 这里需要等待账号密码输入完毕后再点击登录按钮，否则的不弹框
time.sleep(1)
login_button.click()
# time.sleep(3)
# 2.点击滑动验证按钮,获取图片
geetest_button = driver.find_element_by_class_name('geetest_slider_button')
geetest_button.click()
time.sleep(0.2)
# 3.针对完整的图片进行截取
image1 = get_image1(driver)
# 4.针对有缺口的图片进行截取
image2 = get_image2(driver)
# 5.对比两张图片,获取滑动距离
distance = get_distance(image1, image2)
# 6.模拟人为滑动轨迹
stacks = get_stacks(distance)
# 7.根据滑动轨迹进行滑动
forward_stacks = stacks['forward_stacks']
back_stacks = stacks['back_stacks']
slider_button = driver.find_element_by_class_name('geetest_slider_button')
time.sleep(0.2)
ActionChains(driver).click_and_hold(slider_button).perform()
time.sleep(0.2)
for forward_stack in forward_stacks:
ActionChains(driver).move_by_offset(xoffset=forward_stack, yoffset=0).perform()
time.sleep(0.1)
for back_stack in back_stacks:
ActionChains(driver).move_by_offset(xoffset=back_stack, yoffset=0).perform()
time.sleep(0.1)
time.sleep(0.2)
ActionChains(driver).move_by_offset(xoffset=5, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=-5, yoffset=0).perform()
ActionChains(driver).release().perform()
time.sleep(50)
finally:
driver.close()
if __name__ == '__main__':
main()
