做风险控制和个人征信,需要做数据挖掘,第一步就是要爬到消费记录,当然还有很多其他项包括收货地址 宝贝收藏 快速退款额度 芝麻信用 绑定的手机等等,先要爬到数据才能分析。
淘宝直接请求登录接口不可行,不知道post参数加密规则,(大公司安全就是做得好),用selenium操作浏览器来登录得到driver的cookie,然后requests携带cookie去爬订单。如果全部都由selenium爬取无疑很慢,所以selenium负责登录就行。
上代码。
#coding=utf-8 import time,random,requests,json from selenium import webdriver from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.common.desired_capabilities import DesiredCapabilities class Taobao(object): def __init__(self,name,password): self.name=name self.password=password self.login_url=\'https://login.taobao.com/member/login.jhtml?redirectURL=https%3A%2F%2Fwww.taobao.com%2F\' self.order_url=\'https://buyertrade.taobao.com/trade/itemlist/asyncBought.htm?action=itemlist/BoughtQueryAction&event_submit_do_query=1&_input_charset=utf8\' self.num=0 self.cost=0 def login(self):
###如果用phantomjs浏览器就用这个 # dcap = dict(DesiredCapabilities.PHANTOMJS) # dcap["phantomjs.page.settings.userAgent"] = (\'Mozilla/5.0(WindowsNT6.1;WOW64) AppleWebKit/537.36(KHTML, likeGecko) Chrome/59.0.3071.115Safari/537.36x-requested-with:XMLHttpRequest\')#(random.choice(agents)) # dcap["phantomjs.page.settings.loadImages"] = True # driver = webdriver.PhantomJS(executable_path=\'C:\\Python27\\phantomjs.exe\',desired_capabilities=dcap) driver=webdriver.Chrome() driver.get(self.login_url) driver.find_element_by_id(\'J_Quick2Static\').click() WebDriverWait(driver, 30, 0.5).until(EC.presence_of_element_located((By.ID, \'TPL_username_1\'))) driver.find_element_by_id(\'TPL_username_1\').send_keys(self.name) driver.save_screenshot(\'1.jpg\') ##用phantomjs无界面浏览器最好需要截图 driver.find_element_by_id(\'TPL_password_1\').send_keys(self.password) driver.save_screenshot(\'2.jpg\') driver.find_element_by_id(\'J_SubmitStatic\').click() time.sleep(10) driver.save_screenshot(\'3.jpg\') self.cookies={} for dictx in driver.get_cookies(): self.cookies[dictx[\'name\']]=dictx[\'value\'] driver.quit() def get_orders(self,p,flag): if flag==0: self.login() print self.cookies datax={\'pageNum\':p+1, \'pageSize\':15, \'prePageNo\':p, } header = {\'origin\': \'https://buyertrade.taobao.com\', ###origin和refere一定需要,否则会请求不到订单数据 \'referer\':\'https://buyertrade.taobao.com/trade/itemlist/list_bought_items.htm\', \'user-agent\':\'Mozilla/5.0(WindowsNT6.1;WOW64) AppleWebKit/537.36(KHTML, likeGecko) Chrome/59.0.3071.115Safari/537.36x-requested-with:XMLHttpRequest\', #\'cookie\':\'miid=387872062667523128; thw=cn;xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.....\', ##如果不用浏览器登录,可以在headrs中携带字符串形式的cookie } resp=requests.post(self.order_url,data=datax,cookies=self.cookies,headers=header) #resp=requests.post(self.order_url,data=datax,headers=header) #print resp.content.decode(\'gbk\') orders_dictx = json.loads(resp.content.decode(\'gbk\')) pages=orders_dictx[\'page\'][\'totalPage\'] for order in orders_dictx[\'mainOrders\']: self.num+=1 self.cost+=float(order[\'payInfo\'][\'actualFee\']) print self.num,\' \',order[\'subOrders\'][0][\'itemInfo\'][\'title\'],\' 价格是: \',order[\'payInfo\'][\'actualFee\'],\'元 交易状态是:\',order[\'statusInfo\'][\'text\'],self.cost if flag==0: for p in range(1,pages+1): self.get_orders(p,1) if __name__=="__main__": pass tb=Taobao(\'369xxxx@qq.com\',\'123xxxxxxxx\') tb.get_orders(0,0)
运行后爬到的订单。
要爬很多项,已购买宝贝只是其中之一,账号 密码要做成做接口传过来触发爬虫。然后保存各项数据,做数据挖掘用。
根据统计,我在淘宝购物了205次,花费了28613.53元。