#当当网商品种类链接，获取不同种类的所有图书from bs4 import BeautifulSoupclass _FirstPageLinkToGetUrl():def __init__(self,opener):self.opener=openerself.url="http://category.dangdang.com/?ref=www-0-C"def getDifferentSeriesBookUrl(self):html=self.opener.open(self.url).read().decode("gbk")soup=BeautifulSoup(html,"html.parser")#类别LB = []# 字典存储小类别对应的URL#dictUrl = {}#
        temp=0listUrl=[]count=[]#outside  ---外层的div#_li      ---li层for outsideDiv in soup.find("div", class_="classify_books", id="floor_1").find_all("div", class_="classify_kind"):LB.append(outsideDiv.div.a.string)temp=0dictUrl={}for _li in outsideDiv.find("ul").find_all("li"):if _li.a.string == "更多":continueelse:# print(s.a.get("href"), s.a.string)temp+=1dictUrl[_li.a.string] = _li.a.get("href")count.append(temp)listUrl.append(dictUrl)return listUrl,LB

#获取网页中包含的图书的信息from bs4 import BeautifulSoup
import re
class _GetBookInfo():def __init__(self,opener):self.opener=openerdef getPage(self,url):html = self.opener.open(url)html = html.read().decode("gbk")  # 网页数据with open("test.txt","w") as f:f.write(html)regex=re.compile("<span>/\d+</span>")valueNum=re.findall("\d+",regex.findall(html)[0])return int(valueNum[0])def getInfo(self,url):html = self.opener.open(url).read().decode("gbk")soup = BeautifulSoup(html,"html.parser")ulTag=soup.find("ul",class_="list_aa listimg",id=True)liTag=ulTag.find_all("li",id=True)data1=[]#遍历liTagtemp=0for li in liTag:data = []try:data.append(li.find("p",class_="name").string)data.append(li.find("p",class_="star").a.string)data.append(li.find("p",class_="author").a.string)data.append(li.find("p",class_="publishing").a.string)data.append(li.find("p",class_="price").span.string)data.append(re.findall(r"/ .+ ",str(li.find("p", class_="publishing_time")))[0].replace(" ","").replace("/",""))data1.append(data)except:continue#print(data)return data1#
'''def getDifferentSeriesBookUrl(self):html=self.opener.open(self.url).read().decode("gbk")soup=BeautifulSoup(html)#类别LB = []# 字典存储小类别对应的URLdictUrl = {}#outside  ---外层的div#_li      ---li层for outsideDiv in soup.find("div", class_="classify_books", id="floor_1").find_all("div", class_="classify_kind"):LB.append(outsideDiv.div.a.string)for _li in outsideDiv.find("ul").find_all("li"):if _li.a.string == "更多":continueelse:# print(s.a.get("href"), s.a.string)dictUrl[_li.a.string] = _li.a.get("href")return dictUrl,LB
'''

#-encoding:utf-8
from 当当网图书爬取 import 获取数据信息 as bookInfo
from 当当网图书爬取 import KindLinks as kls
from bs4 import BeautifulSoup
import urllib.request
import urllib.parse
import http.cookiejar
import re
import xlwt
import xlrddef getCorrectUrl(url,page):if page==0:  return urlurl=url.replace("m/","m/pg"+str(page)+"-")return url#url,当当网所有商品网页
url="http://category.dangdang.com/?ref=www-0-C"
#创建实例化对象
Cookie=http.cookiejar.CookieJar()
#创建处理器
CookieHandle=urllib.request.HTTPCookieProcessor(Cookie)
#创建opener
opener=urllib.request.build_opener(CookieHandle)
#模拟浏览器登录
header=\{"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36"}
head=[]
for key,value in header.items():elem=(key,value)head.append(elem)
opener.addheaders=head
#打开一次网页让opener具备Cookie
opener.open(url)#首先获取相关链接从KindLinks
_kls=kls._FirstPageLinkToGetUrl(opener)
#书籍的链接数据
bdata=_kls.getDifferentSeriesBookUrl()bdata_url=bdata[0]          #包含所有需要用的url
bdata_gd=bdata[1]           #大体描述
#bdata_count=bdata[2]        #每取出多少个url,创建一个表格
#把字典转换为list存储
bdata_url_name=[]
bdata_url_url=[]
print((list(bdata_url[0].values())))
for key in range(len(bdata_url)):bdata_url_url.append(list(bdata_url[key].values()))bdata_url_name.append(list(bdata_url[key].keys()))
print(bdata_url_name)
print(bdata_url_url[0])
#实例化对象
bio=bookInfo._GetBookInfo(opener)
#在excel中存储的格式
StyleinfoInExcel=["书名","评论数","作者","出版社","价格","出版日期"]
book=xlwt.Workbook(encoding="utf-8")
#用于统计总计书的数量
count=0for _gd in range(len(bdata_url)):for _bdata in range(len(bdata_url_name[_gd])):page = bio.getPage(bdata_url_url[_gd][_bdata])           #获取页码数sheetname=bdata_url_name[_gd][_bdata].replace("/", "-")try:sheet=book.add_sheet(sheetname=sheetname)except:continueprint(sheetname+"正在写入...")for i in range(len(StyleinfoInExcel)):sheet.write(0,i,StyleinfoInExcel[i])#进行数据的读取和写入temp=0for CurrentPage in range(1,page,1):                                             #CurrentPage为实际爬取到的网页页码try:data=bio.getInfo(getCorrectUrl(bdata_url_url[_gd][_bdata],CurrentPage))          #数据保存到data中#将数据写入到Excelfor i in range(len(data)):temp+=1for j in range (len(data[i])):#print(data[i][j],end=" ")sheet.write(temp,j,data[i][j])count+=1except:continueprint("已写入"+str(count)+"本书")print(sheetname+"写入完成...\r\n")if _bdata==len(bdata_url_name[_gd])-1:book.save(bdata_gd[_gd].replace("/","-")+".xls")book = xlwt.Workbook(encoding="utf-8")print("--------已完成"+bdata_gd[_gd])#
print("写入完成，共计"+str(count)+"本书")

#没有进行并发处理，所以在爬去过程中耗时很长，这里的图书写入的数量一共是1280000万册，还有部分未爬取完，此程序尚需进一步的完善。#此程序只是本人作为练手而写的小程序，数据并没有清洗的很干净