135 lines
5.5 KiB
Python
135 lines
5.5 KiB
Python
# -*- coding: utf-8 -*-
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from selenium import webdriver
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from pyquery import PyQuery as pq
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from time import sleep
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import random
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#定义一个taobao类
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class taobao_infos:
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#对象初始化
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def __init__(self):
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url = 'https://login.taobao.com/member/login.jhtml'
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self.url = url
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options = webdriver.ChromeOptions()
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options.add_experimental_option("prefs", {"profile.managed_default_content_settings.images": 2}) # 不加载图片,加快访问速度
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options.add_experimental_option('excludeSwitches', ['enable-automation']) # 此步骤很重要，设置为开发者模式，防止被各大网站识别出来使用了Selenium
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self.browser = webdriver.Chrome(executable_path=chromedriver_path, options=options)
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self.wait = WebDriverWait(self.browser, 10) #超时时长为10s
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#登录淘宝
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def login(self):
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# 打开网页
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self.browser.get(self.url)
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# 自适应等待，点击密码登录选项
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self.browser.implicitly_wait(30) #智能等待，直到网页加载完毕，最长等待时间为30s
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self.browser.find_element_by_xpath('//*[@class="forget-pwd J_Quick2Static"]').click()
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# 自适应等待，点击微博登录宣传
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self.browser.implicitly_wait(30)
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self.browser.find_element_by_xpath('//*[@class="weibo-login"]').click()
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# 自适应等待，输入微博账号
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self.browser.implicitly_wait(30)
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self.browser.find_element_by_name('username').send_keys(weibo_username)
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# 自适应等待，输入微博密码
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self.browser.implicitly_wait(30)
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self.browser.find_element_by_name('password').send_keys(weibo_password)
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# 自适应等待，点击确认登录按钮
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self.browser.implicitly_wait(30)
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self.browser.find_element_by_xpath('//*[@class="btn_tip"]/a/span').click()
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# 直到获取到淘宝会员昵称才能确定是登录成功
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taobao_name = self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '.site-nav-bd > ul.site-nav-bd-l > li#J_SiteNavLogin > div.site-nav-menu-hd > div.site-nav-user > a.site-nav-login-info-nick ')))
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# 输出淘宝昵称
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print(taobao_name.text)
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# 模拟向下滑动浏览
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def swipe_down(self,second):
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for i in range(int(second/0.1)):
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#根据i的值，模拟上下滑动
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if(i%2==0):
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js = "var q=document.documentElement.scrollTop=" + str(300+400*i)
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else:
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js = "var q=document.documentElement.scrollTop=" + str(200 * i)
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self.browser.execute_script(js)
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sleep(0.1)
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js = "var q=document.documentElement.scrollTop=100000"
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self.browser.execute_script(js)
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sleep(0.1)
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# 爬取淘宝 我已买到的宝贝商品数据
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def crawl_good_buy_data(self):
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# 对我已买到的宝贝商品数据进行爬虫
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self.browser.get("https://buyertrade.taobao.com/trade/itemlist/list_bought_items.htm")
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# 遍历所有页数
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for page in range(1,1000):
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# 等待该页面全部已买到的宝贝商品数据加载完毕
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good_total = self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '#tp-bought-root > div.js-order-container')))
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# 获取本页面源代码
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html = self.browser.page_source
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# pq模块解析网页源代码
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doc = pq(html)
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# # 存储该页已经买到的宝贝数据
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good_items = doc('#tp-bought-root .js-order-container').items()
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# 遍历该页的所有宝贝
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for item in good_items:
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good_time_and_id = item.find('.bought-wrapper-mod__head-info-cell___29cDO').text().replace('\n',"").replace('\r',"")
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good_merchant = item.find('.seller-mod__container___1w0Cx').text().replace('\n',"").replace('\r',"")
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good_name = item.find('.sol-mod__no-br___1PwLO').text().replace('\n', "").replace('\r', "")
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# 只列出商品购买时间、订单号、商家名称、商品名称
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# 其余的请自己实践获取
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print(good_time_and_id, good_merchant, good_name)
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print('\n\n')
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# 大部分人被检测为机器人就是因为进一步模拟人工操作
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# 模拟人工向下浏览商品，即进行模拟下滑操作，防止被识别出是机器人
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# 随机滑动延时时间
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swipe_time = random.randint(1, 3)
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self.swipe_down(swipe_time)
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# 等待下一页按钮 出现
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good_total = self.wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '.pagination-next')))
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# 点击下一页按钮
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good_total.click()
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sleep(2)
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if __name__ == "__main__":
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# 使用之前请先查看当前目录下的使用说明文件README.MD
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# 使用之前请先查看当前目录下的使用说明文件README.MD
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# 使用之前请先查看当前目录下的使用说明文件README.MD
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chromedriver_path = "/Users/bird/Desktop/chromedriver.exe" #改成你的chromedriver的完整路径地址
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weibo_username = "改成你的微博账号" #改成你的微博账号
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weibo_password = "改成你的微博密码" #改成你的微博密码
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a = taobao_infos()
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a.login() #登录
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a.crawl_good_buy_data() #爬取淘宝 我已买到的宝贝商品数据 |