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这篇文章将为大家详细讲解有关Python抓取天猫商品详细信息及交易记录的案例，小编觉得挺实用的，因此分享给大家做个参考，希望大家阅读完这篇文章后可以有所收获。
一、搭建Python环境
本帖使用的是Python 2.7
涉及到的模块：spynner, scrapy, bs4, pymmssql
二、要获取的天猫数据
三、数据抓取流程
四、源代码
#coding:utf-8
import spynner
from scrapy.selector import Selector
from bs4 import BeautifulSoup
import random
import pymssql
#------------------------接数据库-----------------------------#
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()
#----------------------定义网页操作函数--------------------------#
def py_click_element(browser,pos):
#点击网页中的元素
#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，如果存在则返回True，否则返回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):
#批量提取网页内容
length=len(xpaths)
results=[0]*length
for i in range(length):
results[i]=py_extract_xpath(browser, xpaths[i])
return results
#-----------------------------数据库操作函数---------------------------#
#-----------------------------数据提取函数----------------------------#
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
#--------------------获取要抓取的所有商品链接-----------------------#
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关于“Python抓取天猫商品详细信息及交易记录的案例”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，使各位可以学到更多知识，如果觉得文章不错，请把它分享出去让更多的人看到。
