您好,登錄后才能下訂單哦!
這篇文章將為大家詳細講解有關(guān)Python抓取天貓商品詳細信息及交易記錄的案例,小編覺得挺實用的,因此分享給大家做個參考,希望大家閱讀完這篇文章后可以有所收獲。
一、搭建Python環(huán)境
本帖使用的是Python 2.7
涉及到的模塊:spynner, scrapy, bs4, pymmssql
二、要獲取的天貓數(shù)據(jù)
三、數(shù)據(jù)抓取流程
四、源代碼
#coding:utf-8 import spynner from scrapy.selector import Selector from bs4 import BeautifulSoup import random import pymssql #------------------------接數(shù)據(jù)庫-----------------------------# server="localhost" user="sa" password = "123456" conn=pymssql.connect(server,user,password,"TmallData") if conn: print "DataBase connecting successfully!" else: print "DataBase connecting error!" cursor=conn.cursor() #----------------------定義網(wǎng)頁操作函數(shù)--------------------------# def py_click_element(browser,pos): #點擊網(wǎng)頁中的元素 #pos example:'a[href="#description" rel="external nofollow" rel="external nofollow" ]' browser.click(pos) browser.wait(random.randint(3,10)) return browser def py_click_xpath(browser,xpath): xpath=xpath+'/@href' inner_href=Selector(text=browser.html).xpath(xpath).extract() pos='a[href="'+str(inner_href[0])+'" rel="external nofollow" ]' browser=py_click_element(browser, pos) return browser def py_webpage_load(browser,url): browser.load(url,load_timeout=60) browser.wait(10) return browser def py_check_element(browser,xpath): #按照xpath查找元素,如果存在則返回True,否則返回False if Selector(text=browser.html).xpath(xpath).extract()!=[]: return True else: return False def py_extract_xpath(browser,xpath): if py_check_element(browser, xpath): return Selector(text=browser.html).xpath(xpath).extract()[0] else: return "none" def py_extract_xpaths(browser,xpaths): #批量提取網(wǎng)頁內(nèi)容 length=len(xpaths) results=[0]*length for i in range(length): results[i]=py_extract_xpath(browser, xpaths[i]) return results #-----------------------------數(shù)據(jù)庫操作函數(shù)---------------------------# #-----------------------------數(shù)據(jù)提取函數(shù)----------------------------# def py_getDealReord(doc): soup=BeautifulSoup(doc,'lxml') tr=soup.find_all('tr') total_dealRecord=[([0]*5)for i in range(len(tr))] i=-1 for this_tr in tr: i=i+1 td_user=this_tr.find_all('td',attrs={'class':"cell-align-l buyer"}) for this_td in td_user: total_dealRecord[i][0]=this_td.getText().strip(' ') #print username td_style=this_tr.find_all('td',attrs={'class':"cell-align-l style"}) for this_td in td_style: total_dealRecord[i][1]=this_td.getText(',').strip(' ') #print style td_quantity=this_tr.find_all('td',attrs={'class':"quantity"}) for this_td in td_quantity: total_dealRecord[i][2]=this_td.getText().strip(' ') #print quantity td_dealtime=this_tr.find_all('td',attrs={'class':"dealtime"}) for this_td in td_dealtime: total_dealRecord[i][3]=this_td.find('p',attrs={'class':"date"}).getText() total_dealRecord[i][4]=this_td.find('p',attrs={'class':"time"}).getText() return total_dealRecord #--------------------獲取要抓取的所有商品鏈接-----------------------# cursor.execute(""" select * from ProductURLs where BrandName='NB' """) file=open("H:\\Eclipse\\TmallCrawling\\HTMLParse\\errLog.txt") InProductInfo=cursor.fetchall() browser=spynner.Browser() for temp_InProductInfo in InProductInfo: url='https:'+temp_InProductInfo[2] BrandName=temp_InProductInfo[0] ProductType=temp_InProductInfo[1] print BrandName,'\t',ProductType,'\t',url #url= 'https://detail.tmall.com/item.htm?id=524425656711&rn=77636d6db8dea5e30060976fdaf9768d&abbucket=19' try: browser=py_webpage_load(browser, url) except: print "Loading webpage failed." file.write(url) file.write('\n') continue xpaths=['//*[@id="J_PromoPrice"]/dd/div/span/text()',\ '//*[@id="J_StrPriceModBox"]/dd/span/text()',\ '//*[@id="J_DetailMeta"]/div[1]/div[1]/div/div[1]/h2/text()',\ '//*[@id="J_PostageToggleCont"]/p/span/text()',\ '//*[@id="J_EmStock"]/text()',\ '//*[@id="J_CollectCount"]/text()',\ '//*[@id="J_ItemRates"]/div/span[2]/text()',\ '//*[@id="J_DetailMeta"]/div[1]/div[1]/div/ul/li[1]/div/span[2]/text()'] out_ProductInfo=py_extract_xpaths(browser,xpaths) browser=py_click_element(browser,'a[href="#description" rel="external nofollow" rel="external nofollow" ]') ProductProperty=py_extract_xpath(browser, '//*[@id="J_AttrUL"]') soup=BeautifulSoup(ProductProperty,'lxml') li=soup.find_all('li') prop='' for this_li in li: prop=prop+this_li.getText()+'\\' prop=prop[0:len(prop)-1] out_ProductProperty=prop print out_ProductProperty cursor.execute(""" Insert into py_ProductInfo values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) """,(BrandName,ProductType,url,\ out_ProductInfo[2],out_ProductInfo[1],\ out_ProductInfo[0],out_ProductInfo[7],\ out_ProductInfo[1],out_ProductInfo[3],\ out_ProductInfo[4],out_ProductInfo[5],\ out_ProductProperty)) conn.commit() Deal_PageCount=0 browser=py_click_element(browser, 'a[href="#J_DealRecord" rel="external nofollow" ]') #browser.browse(True) DealRecord=py_extract_xpath(browser, '//*[@id="J_showBuyerList"]/table/tbody') out_DealRecord=py_getDealReord(DealRecord) for temp_DealRecord in out_DealRecord: if str(temp_DealRecord[4])=='0': continue cursor.execute(""" Insert into DealRecord values(%s,%s,%s,%s,%s,%s) """,(url,temp_DealRecord[0],temp_DealRecord[1],\ temp_DealRecord[2],temp_DealRecord[3],\ temp_DealRecord[4])) conn.commit() Deal_PageCount=Deal_PageCount+1 print "Page ",Deal_PageCount for i in range(6): if (i==0) or (i==2): continue xpath='//*[@id="J_showBuyerList"]/div/div/a['+str(i)+']' if py_check_element(browser,xpath): browser=py_click_xpath(browser, xpath) DealRecord=py_extract_xpath(browser, '//*[@id="J_showBuyerList"]/table/tbody') out_DealRecord=py_getDealReord(DealRecord) for temp_DealRecord in out_DealRecord: if str(temp_DealRecord[4])=='0': continue cursor.execute(""" Insert into DealRecord values(%s,%s,%s,%s,%s,%s) """,(url,temp_DealRecord[0],temp_DealRecord[1],\ temp_DealRecord[2],temp_DealRecord[3],\ temp_DealRecord[4])) conn.commit() Deal_PageCount=Deal_PageCount+1 print "Page ",Deal_PageCount while py_check_element(browser, '//*[@id="J_showBuyerList"]/div/div/a[6]'): browser=py_click_xpath(browser, '//*[@id="J_showBuyerList"]/div/div/a[6]') DealRecord=py_extract_xpath(browser, '//*[@id="J_showBuyerList"]/table/tbody') out_DealRecord=py_getDealReord(DealRecord) for temp_DealRecord in out_DealRecord: if str(temp_DealRecord[4])=='0': continue cursor.execute(""" Insert into DealRecord values(%s,%s,%s,%s,%s,%s) """,(url,temp_DealRecord[0],temp_DealRecord[1],\ temp_DealRecord[2],temp_DealRecord[3],\ temp_DealRecord[4])) conn.commit() Deal_PageCount=Deal_PageCount+1 print "Page ",Deal_PageCount
關(guān)于“Python抓取天貓商品詳細信息及交易記錄的案例”這篇文章就分享到這里了,希望以上內(nèi)容可以對大家有一定的幫助,使各位可以學(xué)到更多知識,如果覺得文章不錯,請把它分享出去讓更多的人看到。
免責(zé)聲明:本站發(fā)布的內(nèi)容(圖片、視頻和文字)以原創(chuàng)、轉(zhuǎn)載和分享為主,文章觀點不代表本網(wǎng)站立場,如果涉及侵權(quán)請聯(lián)系站長郵箱:is@yisu.com進行舉報,并提供相關(guān)證據(jù),一經(jīng)查實,將立刻刪除涉嫌侵權(quán)內(nèi)容。