我們可以借助插件來(lái)做
打開(kāi)插件，找到自己需要的驗(yàn)證碼
篩選有用的路徑
把對(duì)應(yīng)的視圖函數(shù)也拿過(guò)來(lái)囚巴，注意還需要一個(gè)geetest.py的文件
具體實(shí)
urls
#滑動(dòng)驗(yàn)證碼
url(r'^pc-geetest/register', pcgetcaptcha, name='pcgetcaptcha'),
url(r'^pc-geetest/ajax_validate', pcajax_validate, name='pcajax_validate'),
views
from app01.geetest import GeetestLib
pc_geetest_id = "b46d1900d0a894591916ea94ea91bd2c"
pc_geetest_key = "36fc3fe98530eea08dfc6ce76e3d24c4"
mobile_geetest_id = "7c25da6fe21944cfe507d2f9876775a9"
mobile_geetest_key = "f5883f4ee3bd4fa8caec67941de1b903"
# 滑動(dòng)驗(yàn)證碼
def pcgetcaptcha(request):
user_id = 'test'
gt = GeetestLib(pc_geetest_id, pc_geetest_key)
status = gt.pre_process(user_id)
request.session[gt.GT_STATUS_SESSION_KEY] = status
request.session["user_id"] = user_id
response_str = gt.get_response_str()
return HttpResponse(response_str)
# 滑動(dòng)驗(yàn)證碼
def pcajax_validate(request):
if request.method == "POST":
# 驗(yàn)證的驗(yàn)證碼
ret = {"flag": False, "error_msg": None}
gt = GeetestLib(pc_geetest_id, pc_geetest_key)
challenge = request.POST.get(gt.FN_CHALLENGE, '')
validate = request.POST.get(gt.FN_VALIDATE, '')
seccode = request.POST.get(gt.FN_SECCODE, '')
status = request.session[gt.GT_STATUS_SESSION_KEY]
user_id = request.session["user_id"]
print("status",status)
if status:
result = gt.success_validate(challenge, validate, seccode, user_id)
else:
result = gt.failback_validate(challenge, validate, seccode)
if result: #如果驗(yàn)證驗(yàn)證碼正確，就驗(yàn)證用戶名是否正確
username = request.POST.get("username")
password = request.POST.get("password")
# 驗(yàn)證用戶名和密碼
user = auth.authenticate(username=username, password=password)
if user:
# 如果驗(yàn)證成功就讓登錄
ret["flag"] = True
auth.login(request, user)
else:
ret["error_msg"] = "用戶名和密碼錯(cuò)誤"
else:
ret["error_msg"] = "驗(yàn)證碼錯(cuò)誤"
return HttpResponse(json.dumps(ret))
else:
return render(request, "login.html")
views
login.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width">
<title>Title</title>
<link rel="stylesheet" href="/static/bootstrap-3.3.7-dist/css/bootstrap.min.css">
<link rel="stylesheet" href="/static/css/login.css">
<script src="/static/jquery-3.2.1.min.js"></script>
滑動(dòng)驗(yàn)證碼的時(shí)候?qū)? <script src="http://static.geetest.com/static/tools/gt.js"></script>
<script src="/static/bootstrap-3.3.7-dist/js/bootstrap.min.js"></script>
<script src="https://cdn.bootcss.com/jquery-cookie/1.4.1/jquery.cookie.js"></script>
</head>
<body>
<div class="container">
<div class="row">
<div class="col-md-1=10">
<form class="form-horizontal" id="form_data" action="/login/" method="post">
{% csrf_token %}
<div class="form-group">
<label for="username" class="col-sm-2 control-label">用戶名</label>
<div class="col-sm-5">
<input type="text" class="form-control" id="username" placeholder="username" name="username">
</div>
</div>
<div class="form-group">
<label for="password" class="col-sm-2 control-label">密碼</label>
<div class="col-sm-5">
<input type="password" class="form-control" id="password" placeholder="password" name="password">
</div>
</div>
<div class="form-group">
<div class="row">
<div class="col-md-6 col-md-offset-1">
{# 文字部分#}
<label for="vialdCode" class="col-sm-2 control-label">驗(yàn)證碼</label>
<div class="col-sm-5">
<input type="text" class="form-control vialdCode_text" id="vialdCode" placeholder="驗(yàn)證碼" name="vialdCode">
</div>
{# 圖片部分#}
<div class="col-md-5">
<img class="vialdCode_img" src="/get_vaildCode_img/" alt="" width="200px" height="100px">
{# <a href=""></a> #}
</div>
</div>
</div>
</div>
<div class="form-group">
<div class="col-sm-offset-2 col-sm-10">
<div class="checkbox">
<label>
<input type="checkbox"> 下次自動(dòng)登錄
</label>
</div>
</div>
</div>
<div class="form-group">
<div class="col-sm-offset-2 col-sm-10">
<p>
<button type="button" class="btn btn-success login" id="submit">登錄</button>
<span class="error has-error"></span></p>
<p>
<button type="button" class="btn btn-primary register">注冊(cè)</button>
</p>
</div>
<div id="popup-captcha"></div>
</div>
</form>
</div>
</div>
</div>
{#滑動(dòng)驗(yàn)證碼#}
<script>
var handlerPopup = function (captchaObj) {
$("#submit").click(function () {
captchaObj.show();
});
//定時(shí)函數(shù)
$(".login").click(function () {
function foo() {
$(".error").html("")
}
// 成功的回調(diào)
captchaObj.onSuccess(function () {
var validate = captchaObj.getValidate();
$.ajax({
url: "/pc-geetest/ajax_validate", // 進(jìn)行二次驗(yàn)證
type: "post",
dataType: "json",
headers: {"X-CSRFToken": $.cookie('csrftoken')},
data: {
username: $('#username').val(),
password: $('#password').val(),
geetest_challenge: validate.geetest_challenge,
geetest_validate: validate.geetest_validate,
geetest_seccode: validate.geetest_seccode
},
success: function (data) {
console.log(data);
if (data["flag"]) {
{# alert(location.search);#}
{# alert(location.search.slice(6));#}
{# 方式一#}
{# if (location.search.slice(6)) {#}
{# 如果用戶沒(méi)有登錄點(diǎn)贊的時(shí)候节仿，當(dāng)用戶后來(lái)又登錄了遇绞，就直接讓跳轉(zhuǎn)到當(dāng)前點(diǎn)贊的那個(gè)路徑#}
{# location.href = location.search.slice(6)#}
{# }#}
{# else {#}
{# window.location.href = '/index/'#}
{# }#}
{# 方式二：#}
alert($.cookie("next_path"));
if ($.cookie("next_path")){
location.href = $.cookie("next_path")
}
else{
location.href = "/index/"
}
}
else {
$(".error").html(data["error_msg"]);
setTimeout(foo, 3000)
}
}
});
});
});
// 將驗(yàn)證碼加到id為captcha的元素里
captchaObj.appendTo("#popup-captcha");
// 更多接口參考：http://www.geetest.com/install/sections/idx-client-sdk.html
};
// 驗(yàn)證開(kāi)始需要向網(wǎng)站主后臺(tái)獲取id除呵，challenge，success（是否啟用failback）
$.ajax({
url: "/pc-geetest/register?t=" + (new Date()).getTime(), // 加隨機(jī)數(shù)防止緩存
type: "get",
dataType: "json",
success: function (data) {
// 使用initGeetest接口
// 參數(shù)1：配置參數(shù)
// 參數(shù)2：回調(diào)轧坎，回調(diào)的第一個(gè)參數(shù)驗(yàn)證碼對(duì)象宏邮，之后可以使用它做appendTo之類的事件
initGeetest({
gt: data.gt,
challenge: data.challenge,
product: "popup", // 產(chǎn)品形式，包括：float眶根，embed蜀铲，popup。注意只對(duì)PC版驗(yàn)證碼有效
offline: !data.success // 表示用戶后臺(tái)檢測(cè)極驗(yàn)服務(wù)器是否宕機(jī)属百，一般不需要關(guān)注
// 更多配置參數(shù)請(qǐng)參見(jiàn)：http://www.geetest.com/install/sections/idx-client-sdk.html#config
}, handlerPopup);
}
});
</script>
login.html
爬蟲(chóng)
破解極驗(yàn)滑動(dòng)驗(yàn)證碼
一些網(wǎng)站會(huì)在正常運(yùn)行的正常的賬號(hào)密碼認(rèn)證之外加上一些驗(yàn)證
碼记劝，以此來(lái)明確地區(qū)分人行為，從一定程度上達(dá)到反爬的效果族扰，對(duì)于簡(jiǎn)單的驗(yàn)證碼tesserocr就可以搞定如下
圖片.png
但一些網(wǎng)站加入了滑動(dòng)驗(yàn)證碼厌丑，
圖片.png
對(duì)于這類驗(yàn)證,如果我們直接模擬表單請(qǐng)求定欧，繁瑣的認(rèn)證參數(shù)與認(rèn)證流程會(huì)特別的麻煩我們可以用selenium驅(qū)動(dòng)瀏覽器來(lái)解決這個(gè)問(wèn)題，大致分為
#1怒竿、輸入賬號(hào)砍鸠、密碼，然后點(diǎn)擊登陸
#2耕驰、點(diǎn)擊按鈕爷辱，彈出沒(méi)有缺口的圖
#3、針對(duì)沒(méi)有缺口的圖片進(jìn)行截圖
#4朦肘、點(diǎn)擊滑動(dòng)按鈕饭弓，彈出有缺口的圖
#5、針對(duì)有缺口的圖片進(jìn)行截圖
#6媒抠、對(duì)比兩張圖片弟断，找出缺口，即滑動(dòng)的位移
#7趴生、按照人的行為行為習(xí)慣阀趴，把總位移切成一段段小的位移
#8、按照位移移動(dòng)
#9苍匆、完成登錄
實(shí)現(xiàn)
安裝：selenium+chrome/phantomjs
#安裝：Pillow
Pillow:基于PIL刘急，處理python 3.x的圖形圖像庫(kù).因?yàn)镻IL只能處理到python 2.x，而這個(gè)模塊能處理Python3.x锉桑，目前用它做圖形的很多.
http://www.cnblogs.com/apexchu/p/4231041.html
C:\Users\Administrator>pip3 install pillow
C:\Users\Administrator>python3
Python 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 18:41:36) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from PIL import Image
>>>
view.code
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from PIL import Image
import time
def get_snap():
'''
對(duì)整個(gè)網(wǎng)頁(yè)截圖排霉，保存成圖片，然后用PIL.Image拿到圖片對(duì)象
:return: 圖片對(duì)象
'''
driver.save_screenshot('snap.png')
page_snap_obj=Image.open('snap.png')
return page_snap_obj
def get_image():
'''
從網(wǎng)頁(yè)的網(wǎng)站截圖中民轴，截取驗(yàn)證碼圖片
:return: 驗(yàn)證碼圖片
'''
img=wait.until(EC.presence_of_element_located((By.CLASS_NAME,'geetest_canvas_img')))
time.sleep(2) #保證圖片刷新出來(lái)
localtion=img.location
size=img.size
top=localtion['y']
bottom=localtion['y']+size['height']
left=localtion['x']
right=localtion['x']+size['width']
page_snap_obj=get_snap()
crop_imag_obj=page_snap_obj.crop((left,top,right,bottom))
return crop_imag_obj
def get_distance(image1,image2):
'''
拿到滑動(dòng)驗(yàn)證碼需要移動(dòng)的距離
:param image1:沒(méi)有缺口的圖片對(duì)象
:param image2:帶缺口的圖片對(duì)象
:return:需要移動(dòng)的距離
'''
threshold=60
left=57
for i in range(left,image1.size[0]):
for j in range(image1.size[1]):
rgb1=image1.load()[i,j]
rgb2=image2.load()[i,j]
res1=abs(rgb1[0]-rgb2[0])
res2=abs(rgb1[1]-rgb2[1])
res3=abs(rgb1[2]-rgb2[2])
if not (res1 < threshold and res2 < threshold and res3 < threshold):
return i-7 #經(jīng)過(guò)測(cè)試攻柠，誤差為大概為7
return i-7 #經(jīng)過(guò)測(cè)試，誤差為大概為7
def get_tracks(distance):
'''
拿到移動(dòng)軌跡后裸，模仿人的滑動(dòng)行為瑰钮，先勻加速后勻減速
勻變速運(yùn)動(dòng)基本公式：
①v=v0+at
②s=v0t+?at2
③v2-v02=2as
:param distance: 需要移動(dòng)的距離
:return: 存放每0.3秒移動(dòng)的距離
'''
#初速度
v=0
#單位時(shí)間為0.2s來(lái)統(tǒng)計(jì)軌跡，軌跡即0.2內(nèi)的位移
t=0.3
#位移/軌跡列表微驶，列表內(nèi)的一個(gè)元素代表0.2s的位移
tracks=[]
#當(dāng)前的位移
current=0
#到達(dá)mid值開(kāi)始減速
mid=distance*4/5
while current < distance:
if current < mid:
# 加速度越小浪谴，單位時(shí)間的位移越小,模擬的軌跡就越多越詳細(xì)
a= 2
else:
a=-3
#初速度
v0=v
#0.2秒時(shí)間內(nèi)的位移
s=v0*t+0.5*a*(t**2)
#當(dāng)前的位置
current+=s
#添加到軌跡列表
tracks.append(round(s))
#速度已經(jīng)達(dá)到v,該速度作為下次的初速度
v=v0+a*t
return tracks
try:
driver=webdriver.Chrome()
driver.get('https://account.geetest.com/login')
wait=WebDriverWait(driver,10)
#步驟一：先點(diǎn)擊按鈕，彈出沒(méi)有缺口的圖片
button=wait.until(EC.presence_of_element_located((By.CLASS_NAME,'geetest_radar_tip')))
button.click()
#步驟二：拿到?jīng)]有缺口的圖片
image1=get_image()
#步驟三：點(diǎn)擊拖動(dòng)按鈕因苹，彈出有缺口的圖片
button=wait.until(EC.presence_of_element_located((By.CLASS_NAME,'geetest_slider_button')))
button.click()
#步驟四：拿到有缺口的圖片
image2=get_image()
# print(image1,image1.size)
# print(image2,image2.size)
#步驟五：對(duì)比兩張圖片的所有RBG像素點(diǎn)苟耻，得到不一樣像素點(diǎn)的x值，即要移動(dòng)的距離
distance=get_distance(image1,image2)
#步驟六：模擬人的行為習(xí)慣（先勻加速拖動(dòng)后勻減速拖動(dòng)）扶檐，把需要拖動(dòng)的總距離分成一段一段小的軌跡
tracks=get_tracks(distance)
print(tracks)
print(image1.size)
print(distance,sum(tracks))
#步驟七：按照軌跡拖動(dòng)凶杖，完全驗(yàn)證
button=wait.until(EC.presence_of_element_located((By.CLASS_NAME,'geetest_slider_button')))
ActionChains(driver).click_and_hold(button).perform()
for track in tracks:
ActionChains(driver).move_by_offset(xoffset=track,yoffset=0).perform()
else:
ActionChains(driver).move_by_offset(xoffset=3,yoffset=0).perform() #先移過(guò)一點(diǎn)
ActionChains(driver).move_by_offset(xoffset=-3,yoffset=0).perform() #再退回來(lái)，是不是更像人了
time.sleep(0.5) #0.5秒后釋放鼠標(biāo)
ActionChains(driver).release().perform()
#步驟八：完成登錄
input_email=driver.find_element_by_id('email')
input_password=driver.find_element_by_id('password')
button=wait.until(EC.element_to_be_clickable((By.CLASS_NAME,'login-btn')))
input_email.send_keys('18611453110@163.com')
input_password.send_keys('linhaifeng123')
# button.send_keys(Keys.ENTER)
button.click()
import time
time.sleep(200)
finally:
driver.close()
案列：
破解博客園后臺(tái)登錄
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from PIL import Image
import time
def get_snap():
driver.save_screenshot('full_snap.png')
page_snap_obj=Image.open('full_snap.png')
return page_snap_obj
def get_image():
img=driver.find_element_by_class_name('geetest_canvas_img')
time.sleep(2)
location=img.location
size=img.size
left=location['x']
top=location['y']
right=left+size['width']
bottom=top+size['height']
page_snap_obj=get_snap()
image_obj=page_snap_obj.crop((left,top,right,bottom))
# image_obj.show()
return image_obj
def get_distance(image1,image2):
start=57
threhold=60
for i in range(start,image1.size[0]):
for j in range(image1.size[1]):
rgb1=image1.load()[i,j]
rgb2=image2.load()[i,j]
res1=abs(rgb1[0]-rgb2[0])
res2=abs(rgb1[1]-rgb2[1])
res3=abs(rgb1[2]-rgb2[2])
# print(res1,res2,res3)
if not (res1 < threhold and res2 < threhold and res3 < threhold):
return i-7
return i-7
def get_tracks(distance):
distance+=20 #先滑過(guò)一點(diǎn)款筑，最后再反著滑動(dòng)回來(lái)
v=0
t=0.2
forward_tracks=[]
current=0
mid=distance*3/5
while current < distance:
if current < mid:
a=2
else:
a=-3
s=v*t+0.5*a*(t**2)
v=v+a*t
current+=s
forward_tracks.append(round(s))
#反著滑動(dòng)到準(zhǔn)確位置
back_tracks=[-3,-3,-2,-2,-2,-2,-2,-1,-1,-1] #總共等于-20
return {'forward_tracks':forward_tracks,'back_tracks':back_tracks}
try:
# 1智蝠、輸入賬號(hào)密碼回車
driver = webdriver.Chrome()
driver.implicitly_wait(3)
driver.get('https://passport.cnblogs.com/user/signin')
username = driver.find_element_by_id('input1')
pwd = driver.find_element_by_id('input2')
signin = driver.find_element_by_id('signin')
username.send_keys('linhaifeng')
pwd.send_keys('xxxxx')
signin.click()
# 2腾么、點(diǎn)擊按鈕，得到?jīng)]有缺口的圖片
button = driver.find_element_by_class_name('geetest_radar_tip')
button.click()
# 3杈湾、獲取沒(méi)有缺口的圖片
image1 = get_image()
# 4解虱、點(diǎn)擊滑動(dòng)按鈕，得到有缺口的圖片
button = driver.find_element_by_class_name('geetest_slider_button')
button.click()
# 5漆撞、獲取有缺口的圖片
image2 = get_image()
# 6殴泰、對(duì)比兩種圖片的像素點(diǎn)，找出位移
distance = get_distance(image1, image2)
# 7叫挟、模擬人的行為習(xí)慣艰匙，根據(jù)總位移得到行為軌跡
tracks = get_tracks(distance)
print(tracks)
# 8、按照行動(dòng)軌跡先正向滑動(dòng)抹恳，后反滑動(dòng)
button = driver.find_element_by_class_name('geetest_slider_button')
ActionChains(driver).click_and_hold(button).perform()
# 正常人類總是自信滿滿地開(kāi)始正向滑動(dòng)，自信地表現(xiàn)是瘋狂加速
for track in tracks['forward_tracks']:
ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()
# 結(jié)果傻逼了署驻，正常的人類停頓了一下奋献，回過(guò)神來(lái)發(fā)現(xiàn)，臥槽旺上，滑過(guò)了,然后開(kāi)始反向滑動(dòng)
time.sleep(0.5)
for back_track in tracks['back_tracks']:
ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform()
# 小范圍震蕩一下瓶蚂，進(jìn)一步迷惑極驗(yàn)后臺(tái)，這一步可以極大地提高成功率
ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform()
# 成功后宣吱，騷包人類總喜歡默默地欣賞一下自己拼圖的成果窃这，然后戀戀不舍地松開(kāi)那只臟手
time.sleep(0.5)
ActionChains(driver).release().perform()
time.sleep(10) # 睡時(shí)間長(zhǎng)一點(diǎn)，確定登錄成功
finally:
driver.close()
修訂版本
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from PIL import Image
import time
def get_snap(driver):
driver.save_screenshot('full_snap.png')
page_snap_obj=Image.open('full_snap.png')
return page_snap_obj
def get_image(driver):
img=driver.find_element_by_class_name('geetest_canvas_img')
time.sleep(2)
location=img.location
size=img.size
left=location['x']
top=location['y']
right=left+size['width']
bottom=top+size['height']
page_snap_obj=get_snap(driver)
image_obj=page_snap_obj.crop((left,top,right,bottom))
# image_obj.show()
return image_obj
def get_distance(image1,image2):
start=57
threhold=60
for i in range(start,image1.size[0]):
for j in range(image1.size[1]):
rgb1=image1.load()[i,j]
rgb2=image2.load()[i,j]
res1=abs(rgb1[0]-rgb2[0])
res2=abs(rgb1[1]-rgb2[1])
res3=abs(rgb1[2]-rgb2[2])
# print(res1,res2,res3)
if not (res1 < threhold and res2 < threhold and res3 < threhold):
return i-7
return i-7
def get_tracks(distance):
distance+=20 #先滑過(guò)一點(diǎn)征候，最后再反著滑動(dòng)回來(lái)
v=0
t=0.2
forward_tracks=[]
current=0
mid=distance*3/5
while current < distance:
if current < mid:
a=2
else:
a=-3
s=v*t+0.5*a*(t**2)
v=v+a*t
current+=s
forward_tracks.append(round(s))
#反著滑動(dòng)到準(zhǔn)確位置
back_tracks=[-3,-3,-2,-2,-2,-2,-2,-1,-1,-1] #總共等于-20
return {'forward_tracks':forward_tracks,'back_tracks':back_tracks}
def crack(driver): #破解滑動(dòng)認(rèn)證
# 1杭攻、點(diǎn)擊按鈕，得到?jīng)]有缺口的圖片
button = driver.find_element_by_class_name('geetest_radar_tip')
button.click()
# 2疤坝、獲取沒(méi)有缺口的圖片
image1 = get_image(driver)
# 3兆解、點(diǎn)擊滑動(dòng)按鈕，得到有缺口的圖片
button = driver.find_element_by_class_name('geetest_slider_button')
button.click()
# 4跑揉、獲取有缺口的圖片
image2 = get_image(driver)
# 5锅睛、對(duì)比兩種圖片的像素點(diǎn)，找出位移
distance = get_distance(image1, image2)
# 6历谍、模擬人的行為習(xí)慣现拒，根據(jù)總位移得到行為軌跡
tracks = get_tracks(distance)
print(tracks)
# 7、按照行動(dòng)軌跡先正向滑動(dòng)望侈，后反滑動(dòng)
button = driver.find_element_by_class_name('geetest_slider_button')
ActionChains(driver).click_and_hold(button).perform()
# 正常人類總是自信滿滿地開(kāi)始正向滑動(dòng)印蔬，自信地表現(xiàn)是瘋狂加速
for track in tracks['forward_tracks']:
ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()
# 結(jié)果傻逼了，正常的人類停頓了一下甜无，回過(guò)神來(lái)發(fā)現(xiàn)扛点，臥槽哥遮，滑過(guò)了,然后開(kāi)始反向滑動(dòng)
time.sleep(0.5)
for back_track in tracks['back_tracks']:
ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform()
# 小范圍震蕩一下，進(jìn)一步迷惑極驗(yàn)后臺(tái)陵究，這一步可以極大地提高成功率
ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform()
# 成功后眠饮，騷包人類總喜歡默默地欣賞一下自己拼圖的成果，然后戀戀不舍地松開(kāi)那只臟手
time.sleep(0.5)
ActionChains(driver).release().perform()
def login_cnblogs(username,password):
driver = webdriver.Chrome()
try:
# 1铜邮、輸入賬號(hào)密碼回車
driver.implicitly_wait(3)
driver.get('https://passport.cnblogs.com/user/signin')
input_username = driver.find_element_by_id('input1')
input_pwd = driver.find_element_by_id('input2')
signin = driver.find_element_by_id('signin')
input_username.send_keys(username)
input_pwd.send_keys(password)
signin.click()
# 2仪召、破解滑動(dòng)認(rèn)證
crack(driver)
time.sleep(10) # 睡時(shí)間長(zhǎng)一點(diǎn)，確定登錄成功
finally:
driver.close()
if __name__ == '__main__':
login_cnblogs(username='linhaifeng',password='xxxx')
