统计个人CSDN的博客文章数量

第一版

原始版本比较简单

只能统计第一页，而且没有进行排序

# coding:utf-8
import urllib2
from bs4 import BeautifulSoup
import sys
reload(sys)
sys.setdefaultencoding('utf-8')def getPage(): #伪装成浏览器登陆,获取网页源代码url = 'http://blog.csdn.net/qiqiyingse?viewmode=contents'totalList=[]contentList=[]headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}  req = urllib2.Request(url=url,headers=headers)try:html = urllib2.urlopen(req).read()except urllib2.HTTPError,e:print e.codeprint e.reasonfd=open('counter.txt','w')page = BeautifulSoup(html,'lxml')mytimes=page.find(id='blog_rank')i =1for aa in mytimes.find_all('li'):if i<3:print aa.textfd.write(aa.text)fd.write('\n')totalList.append(aa.text)i +=1items = page.find_all('div',class_ ='list_item list_view')print '总共有文章%d 篇' % len(items)for item in items:content=item.find('a')read_time=item.find('span',class_ ='link_view')comments_time=item.find('span',class_ ='link_comments')totalcontent=content.text.strip()+read_time.text.strip()+comments_time.text.strip()print totalcontentcontentList.append(totalcontent)fd.write(totalcontent)fd.write('\n')fd.close()return totalList,contentList
urls=getPage()

第二版

再增加一个版本

这个版本，直接能按照访问次数进行排序

2017.4.11日重新更新代码，本次更新内容：

将统计的内容，重新在程序文件下再建立一个文件夹，同时将统计内容放入到以当前时间为名字的文本中

避免了每次统计直接覆盖了上一次统计的数据

第二版

# coding:utf-8
import urllib2,re,datetime,os
from bs4 import BeautifulSoup
import sys
reload(sys)
sys.setdefaultencoding('utf-8')def getPage(): #伪装成浏览器登陆,获取网页源代码url = 'http://blog.csdn.net/qiqiyingse?viewmode=contents'baseurl='http://blog.csdn.net'totalList=[]contentList=[]sortlist=[]sortlist1=[]headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}  req = urllib2.Request(url=url,headers=headers)try:html = urllib2.urlopen(req).read()except urllib2.HTTPError,e:print e.codeprint e.reasonpath='count'if not os.path.exists(path):  os.makedirs(path) fname=path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'fd=open(fname,'w')page = BeautifulSoup(html,'lxml')mytimes=page.find(id='blog_rank')i =1for aa in mytimes.find_all('li'):if i<3:print aa.textfd.write(aa.text)fd.write('\n')totalList.append(aa.text)i +=1items = page.find_all('div',class_ ='list_item list_view')print '总共有文章%d 篇' % len(items)fd.write('总共有文章%d 篇' % len(items))fd.write('\n')for item in items:aa={}content=item.find('a')contemtUrl=baseurl+content.get('href')read_time=item.find('span',class_ ='link_view')tmp=str(read_time.text.strip())number = int(filter(str.isdigit, tmp))sortlist1.append(number)comments_time=item.find('span',class_ ='link_comments')aa['indexs']=numberaa['content']=content.text.strip()aa['read_time']=tmpaa['comments_time']=comments_time.text.strip()aa['contemtUrl']=contemtUrlsortlist.append(aa)sortlist1.sort()print sortlist1for i in sortlist1:for a in sortlist:if int(i) == int(a['indexs']):totalcontent=a['content']+'\t'+a['read_time']+'\t'+a['comments_time']+'\t'+a['contemtUrl']print totalcontentfd.write(totalcontent)fd.write('\n')contentList.append(totalcontent)fd.close()return contentList
urls=getPage()

第三版

这一个版本比较有意思

#coding:utf-8
import urllib2,re,time,random,os,datetime
from bs4 import BeautifulSoup
import webbrowser as web
import sys
reload(sys)
sys.setdefaultencoding('utf-8')  def getPage(): #伪装成浏览器登陆,获取网页源代码  url = 'http://blog.csdn.net/qiqiyingse?viewmode=contents'  baseurl='http://blog.csdn.net' contentList=[]  sortlist=[]sortlist1=[]urlList=[]headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}    req = urllib2.Request(url=url,headers=headers)  try:  html = urllib2.urlopen(req).read()  except urllib2.HTTPError,e:  print e.code  print e.reason  path=u'count'if not os.path.exists(path):  os.makedirs(path)     fname=path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'   print fname fd=open(fname,'w')page = BeautifulSoup(html,'lxml')items = page.find_all('div',class_ ='list_item list_view')  print u'总共有文章%d 篇' % len(items)  fd.write('总共有文章%d 篇' % len(items))fd.write('\n')for item in items:  aa={}  content=item.find('a')contemtUrl=baseurl+content.get('href')#print contemtUrlread_time=item.find('span',class_ ='link_view')  readtime=str(read_time.text.strip())#print readtimereadtimeNumber = int(filter(str.isdigit, readtime))#print readtimeNumbersortlist1.append(readtimeNumber)  #time.sleep(2)aa['indexs']=readtimeNumber  aa['content']=content.text.strip()  aa['read_time']=readtime   aa['contemtUrl']=contemtUrl  sortlist.append(aa)  sortlist1.sort()  print sortlist1  for i in sortlist1:  for a in sortlist:  if int(i) == int(a['indexs']):  totalcontent=a['content']+'\t'+a['read_time']+'\t'+a['contemtUrl']  print totalcontent  fd.write(totalcontent)  fd.write('\n')urlList.append(a['contemtUrl'])contentList.append(totalcontent)  fd.close()  return urlList  urls=getPage()count=random.randint(10,50)
print u'将要打开关闭浏览器次数为：',count
for i in range(5):print urls[i]j=0
while j< count:if j == 15:j=0for i in range(5):web.open_new_tab(urls[i+38])time.sleep(1)web.open_new_tab(urls[random.randint(1,44)])time.sleep(1)web.open_new_tab('http://blog.csdn.net/qiqiyingse/article/details/51801918')time.sleep(3)os.system('taskkill /f /IM Chrome.exe')j = j+1

第四版

本次更新是博客文章大于50篇以后，可能需要2页显示，但是只能统计两页内容

因此重新更新

#coding:utf-8
import urllib2,re,time,random,os,datetime
from bs4 import BeautifulSoup
import webbrowser as web
import sys
reload(sys)
sys.setdefaultencoding('utf-8')  def getPage(): #伪装成浏览器登陆,获取网页源代码  url1 = 'http://blog.csdn.net/qiqiyingse/article/list/1?viewmode=contents'  url2 = 'http://blog.csdn.net/qiqiyingse/article/list/2?viewmode=contents'  baseurl='http://blog.csdn.net' contentList=[]  sortlist=[]sortlist1=[]urlList=[]headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}    req1 = urllib2.Request(url=url1,headers=headers)  req2 = urllib2.Request(url=url2,headers=headers)  try:  html1 = urllib2.urlopen(req1).read()  html2 = urllib2.urlopen(req2).read()  except urllib2.HTTPError,e:  print e.code  print e.reason  path=u'count'if not os.path.exists(path):  os.makedirs(path)  fname=path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'   print fname fd=open(fname,'w')page1 = BeautifulSoup(html1,'lxml')page2 = BeautifulSoup(html2,'lxml')items1 = page1.find_all('div',class_ ='list_item list_view')  items2 = page2.find_all('div',class_ ='list_item list_view')  cont_print= u'总共有文章%d 篇' % (len(items1)+len(items2))print cont_printfd.write(cont_print)  fd.write('\n')for item in items1:  aa={}  content=item.find('a')contemtUrl=baseurl+content.get('href')#print contemtUrlread_time=item.find('span',class_ ='link_view')  readtime=str(read_time.text.strip())#print readtimereadtimeNumber = int(filter(str.isdigit, readtime))#print readtimeNumbersortlist1.append(readtimeNumber)  #time.sleep(2)aa['indexs']=readtimeNumber  aa['content']=content.text.strip()  aa['read_time']=readtime   aa['contemtUrl']=contemtUrl  sortlist.append(aa)for item in items2:  aa={}  content=item.find('a')contemtUrl=baseurl+content.get('href')#print contemtUrlread_time=item.find('span',class_ ='link_view')  readtime=str(read_time.text.strip())#print readtimereadtimeNumber = int(filter(str.isdigit, readtime))#print readtimeNumbersortlist1.append(readtimeNumber)  #time.sleep(2)aa['indexs']=readtimeNumber  aa['content']=content.text.strip()  aa['read_time']=readtime   aa['contemtUrl']=contemtUrl  sortlist.append(aa)       sortlist1.sort()  print sortlist1  for i in sortlist1:  for a in sortlist:  if int(i) == int(a['indexs']):  totalcontent=a['content']+'\t'+a['read_time']+'\t'+a['contemtUrl']  print totalcontent  fd.write(totalcontent)  fd.write('\n')urlList.append(a['contemtUrl'])contentList.append(totalcontent)  fd.close()  return urlList  urls=getPage()

第五版

这次版本对整个函数进行了调整

1.让每一部分看起来更易读

2.可以统计个人名下所有的博客内容了，不管你有多少篇多少页博客，都能给统计到

3.更新了排序算法，这样就修复了之前的一个bug

代码如下：

#coding:utf-8
import urllib2,re,time,random,os,datetime
from bs4 import BeautifulSoup
import webbrowser as web
import sys
reload(sys)
sys.setdefaultencoding('utf-8')#自定义打印函数
def self_log(msg):print u'%s: %s' % (time.strftime('%Y-%m-%d %H:%M:%S'), msg)#获取页面内容
def  get_html(url):headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}req = urllib2.Request(url=url,headers=headers)try:html = urllib2.urlopen(req).read()except urllib2.HTTPError,e:print e.codereturn html#得到博客页面总数
def get_last_page(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')if page.find('div',class_ ='pagelist').find_all('a'):last_page=page.find('div',class_ ='pagelist').find_all('a')last_page= last_page[len(last_page)-1].get('href')[-1:]self_log('总共有%s 页博客' % last_page)fd.write('总共有%s 页博客\n' % last_page)return last_pageelse:return 1#获取积分内容
def get_rank(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')rank_list=[]if page.find(id='blog_rank'):rank_content=page.find(id='blog_rank')i =1for rank in rank_content.find_all('li'):if i<3:self_log(rank.text)fd.write(rank.text)fd.write('\n')rank_list.append(rank.text)i +=1return rank_list#获取页面列表
def get_items(url):content_html=get_html(url)page = BeautifulSoup(content_html,'lxml')items = page.find_all('div',class_ ='list_item list_view')return items#根据每一个items list 提取需要的元素
def handle_items(items,content_list,read_num_for_sort):for item in items:temp={}#临时变量title=item.find('a')#标题content_url='http://blog.csdn.net'+title.get('href')#标题对应文章的地址read_times=item.find('span',class_ ='link_view').text.strip()#阅读次数comments_time=item.find('span',class_ ='link_comments')#评论次数read_number = int(filter(str.isdigit, str(read_times)))  #提取出来具体阅读次数的数字，为之后的排序做准备read_num_for_sort.append(read_number)#将数据打包temp['indexs']=read_numbertemp['title']=title.text.strip()temp['read_times']=read_timestemp['comments_time']=comments_time.text.strip()temp['content_url']=content_urlcontent_list.append(temp)#创建文件夹
def mkdir_folder(path):if not os.path.exists(path):  os.makedirs(path) #程序运行主函数
def run(url):read_num_for_sort=[]content_list=[]content_totle_list=[]#定义文件夹名字并创建文件夹dir_path='count'mkdir_folder(dir_path)#定义文件名字count_file_name=dir_path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'fd=open(count_file_name,'w')#1.从主页进入获取页面总数main_html=get_html(url)last_page=get_last_page(main_html,fd)#2.获取积分内容rank_list=get_rank(main_html,fd)#3.组装url，分别加载每页的页面,同时在每一个页面提取我们需要的内容for i in range(1,int(last_page)+1):main_url=url.split('?')[0]+'/article/list/%d?viewmode=contents' % iself_log('即将获取第%d页的内容，地址是：%s' % (i,main_url))items=get_items(main_url)#获取每一页的页面内容，根据页面内容得到文章item listhandle_items(items,content_list,read_num_for_sort)#处理item list#4.根据阅读次数 进行排序read_num_for_sort.sort()print read_num_for_sort'''这也是一种排序思想，其中有一些缺陷for i in read_num_for_sort:for a in content_list:if int(i) == int(a['indexs']):totalcontent=a['content']+'\t|'+a['read_time']+'\t|'+a['comments_time']+'\t|'+a['contemtUrl']'''self_log('总共有%d 篇文章' % len(content_list))#根据得到的数据，统计文章总数content_list = sorted(content_list,cmp=lambda x,y:cmp(x['indexs'],y['indexs']),reverse=0)#根据 indexs（阅读次数）这个索引值进行排序article_index = 1for a in content_list:#组装打印语句totalcontent= '第'+str(article_index)+'篇  |'+a['title']+'\t|'+a['read_times']+'\t|'+a['comments_time']+'\t|'+a['content_url']self_log(totalcontent)#将其存贮到本地fd.write(totalcontent)fd.write('\n')article_index +=1content_totle_list.append(totalcontent)fd.close()     return content_totle_listif __name__ == '__main__': print '''' ***************************************** **    Welcome to Spider of Count CSDN  ** **      Created on 2017-04-12          ** **      @author: Jimy_Fengqi           ** *****************************************'''  url='http://blog.csdn.net/qiqiyingse?viewmode=contents'run(url)

第六版

此次更新，优化一点点内容

主要是可以将文章内容存贮到本地

同时，将统计信息重新放到一个excel 里面

代码如下：

#coding:utf-8
import urllib2,re,time,random,os,datetime
from bs4 import BeautifulSoup
from pyExcelerator import * #导入excel相关包
import sys
reload(sys)
sys.setdefaultencoding('utf-8')#自定义打印函数
def self_log(msg):print u'%s: %s' % (time.strftime('%Y-%m-%d %H:%M:%S'), msg)#获取页面内容
def  get_html(url):headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}req = urllib2.Request(url=url,headers=headers)try:html = urllib2.urlopen(req).read()except urllib2.HTTPError,e:print e.codereturn html#得到博客页面总数
def get_last_page(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')if page.find('div',class_ ='pagelist').find_all('a'):last_page=page.find('div',class_ ='pagelist').find_all('a')last_page= last_page[len(last_page)-1].get('href')[-1:]self_log('总共有%s 页博客' % last_page)fd.write('总共有%s 页博客\n' % last_page)return last_pageelse:return 1#获取积分内容
def get_rank(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')rank_list=[]if page.find(id='blog_rank'):rank_content=page.find(id='blog_rank')i =1for rank in rank_content.find_all('li'):if i<3:self_log(rank.text)fd.write(rank.text)fd.write('\n')rank_list.append(rank.text)i +=1return rank_list#获取页面列表
def get_items(url):content_html=get_html(url)page = BeautifulSoup(content_html,'lxml')items = page.find_all('div',class_ ='list_item list_view')return items#根据每一个items list 提取需要的元素
def handle_items(items,content_list,read_num_for_sort):for item in items:temp={}#临时变量title=item.find('a')#标题content_url='http://blog.csdn.net'+title.get('href')#标题对应文章的地址read_times=item.find('span',class_ ='link_view').text.strip()#阅读次数comments_time=item.find('span',class_ ='link_comments')#评论次数read_number = int(filter(str.isdigit, str(read_times)))  #提取出来具体阅读次数的数字，为之后的排序做准备read_num_for_sort.append(read_number)#将数据打包temp['indexs']=read_numbertemp['title']=title.text.strip()temp['read_times']=read_timestemp['comments_time']=comments_time.text.strip()temp['content_url']=content_urlcontent_list.append(temp)#创建文件夹
def mkdir_folder(path):if not os.path.exists(path):  os.makedirs(path) #获取页面信息
def getContent(html):page = BeautifulSoup(html,'lxml')try:title=page.find('div',class_='article_title').find('a').texttitle=title.strip()except Exception,e:print etry:content=page.find('div',class_='article_content')dir_path='count'artitle_name_path=dir_path+'/'+title+'.txt'with open(artitle_name_path+'.txt','w') as f:f.write(content.text)self_log(u'存贮文章：%s 完毕' % title)except Exception,e:print e#存贮每一篇文章到本地
def run_to_get_article(content_total_list):self_log('start save every article  ')for article_content in content_total_list:article_url=article_content.split('|')[4]self_log( '将要存贮的地址是： %s ...' % article_url)artitle_html=get_html(article_url)getContent(artitle_html)#将内容存贮到excel中
def run_to_save_info_in_excel(content_total_list):self_log('start save info into excel')excel_w=Workbook()excel_sheet_name=time.strftime('%Y-%m-%d_%H-%M-%S')excel_content_handler=excel_w.add_sheet(excel_sheet_name) first_line=[u'编号',u'标题',u'阅读次数',u'评论次数',u'文章地址']cols=0for content in first_line:excel_content_handler.write(0,cols,content)cols +=1index=1for article_content in content_total_list:cols =0for a in article_content.split('|'):excel_content_handler.write(index,cols,a)cols +=1index +=1excel_w.save('count/'+'count'+time.strftime('%Y-%m-%d')+'.xls')#程序运行主函数
def run(url):read_num_for_sort=[]content_list=[]content_total_list=[]#定义文件夹名字并创建文件夹dir_path='count'mkdir_folder(dir_path)#定义文件名字count_file_name=dir_path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'fd=open(count_file_name,'w')#1.从主页进入获取页面总数main_html=get_html(url)last_page=get_last_page(main_html,fd)#2.获取积分内容rank_list=get_rank(main_html,fd)#3.组装url，分别加载每页的页面,同时在每一个页面提取我们需要的内容for i in range(1,int(last_page)+1):main_url=url.split('?')[0]+'/article/list/%d?viewmode=contents' % iself_log('即将获取第%d页的内容，地址是：%s' % (i,main_url))items=get_items(main_url)#获取每一页的页面内容，根据页面内容得到文章item listhandle_items(items,content_list,read_num_for_sort)#处理item list#4.根据阅读次数 进行排序read_num_for_sort.sort()print read_num_for_sort'''这也是一种排序思想，其中有一些缺陷for i in read_num_for_sort:for a in content_list:if int(i) == int(a['indexs']):totalcontent=a['content']+'\t|'+a['read_time']+'\t|'+a['comments_time']+'\t|'+a['contemtUrl']'''self_log('总共有%d 篇文章' % len(content_list))#根据得到的数据，统计文章总数#根据 indexs（阅读次数）这个索引值进行排序#非常好的一个根据列表中字典数据进行排序的方法content_list = sorted(content_list,cmp=lambda x,y:cmp(x['indexs'],y['indexs']),reverse=0)article_index = 1for a in content_list:#组装打印语句totalcontent= '第'+str(article_index)+'篇  |'+a['title']+'\t|'+a['read_times']+'\t|'+a['comments_time']+'\t|'+a['content_url']#self_log(totalcontent)#将其存贮到本地fd.write(totalcontent)fd.write('\n')article_index +=1content_total_list.append(totalcontent)fd.close()     return content_total_listif __name__ == '__main__': print '''' ***************************************** **    Welcome to Spider of Count CSDN  ** **      Created on 2017-04-12          ** **      @author: Jimy_Fengqi           ** *****************************************''' url=raw_input(u'请输入将要统计的个人csdn主页地址，类似如下：\n http://blog.csdn.net/qiqiyingse?viewmode=contents')if not url:url='http://blog.csdn.net/qiqiyingse?viewmode=contents'content_total_list=run(url)run_to_save_info_in_excel(content_total_list)run_to_get_article(content_total_list)

第七版

更新一下excel 的使用方法

#coding:utf-8
import urllib2,re,time,random,os,datetime
from bs4 import BeautifulSoup
from pyExcelerator import * #导入excel相关包
import xlrd
import xlwt
from xlutils.copy import copy
import sys
reload(sys)
sys.setdefaultencoding('utf-8')def create_excel(data):excle_file_name=str(time.strftime('%Y-%m-%d')+'.xls')#以当天日期创建excel表#判断一个文件是否存在    def file_is_exist(file_name):path = os.path.join(os.getcwd()+'/count/'+file_name)print 'current file [%s] path is [%s]' % (file_name,path)is_exists = os.path.exists(path)return is_exists#读取复制一份，并且增加一张新表   def read_and_copy_excle(excle_file_name):read_excel_flag=xlrd.open_workbook(excle_file_name,formatting_info=True)#保存原有格式count = len(read_excel_flag.sheets()) #sheet数量for r in read_excel_flag.sheets():print r.name #sheet名称worksheet_copy=copy(read_excel_flag)#复制一份excelwrite_excel(worksheet_copy,excle_file_name)#之后再次插入一份#写exceldef write_excel(excel_flag,excle_file_name):sheet_name=str(time.strftime('%Y-%m-%d_%H-%M-%S'))sheet_flag = excel_flag.add_sheet(sheet_name,cell_overwrite_ok=True) #创建sheetfirst_line=[u'编号',u'标题',u'阅读次数',u'评论次数',u'文章地址']#生成第一行for i in range(0,len(first_line)):sheet_flag.write(0,i,first_line[i],set_style('Times New Roman',220,True,40))if i== 1:#设置行宽sheet_flag.col(i).width=256*150elif i == 4:sheet_flag.col(i).width=256*80else:sheet_flag.col(i).width=256*15row_index=1    for article_content in data:cols_index =0for data_detail in article_content.split('|'):sheet_flag.write(row_index,cols_index,data_detail,set_style('Arial',300,False,cols_index))#sheet_flag.col(cols_index).width=sheet_flag.col(cols_index+1).widthcols_index +=1row_index +=1style = xlwt.easyxf('font:height 240, color-index red, bold on;align: wrap on, vert centre, horiz center');  sheet_flag.write(row_index+1,cols_index+1, 'hello world', style) sheet_flag.write(row_index+2,cols_index+2,'start',set_style(u'宋体',300,False,20))excel_flag.save('count/'+excle_file_name) #保存文件#设置单元格格式def set_style(name,height,bold,color_index):style = xlwt.XFStyle() # 初始化样式font = xlwt.Font() # 为样式创建字体font.name = name # 字体名称font.bold = bold #字体加粗font.color_index = color_index #字体颜色， 但是貌似无效font.height = heightborders= xlwt.Borders()#字体边框borders.left= 6borders.right= 6borders.top= 6borders.bottom= 6style.font = fontif bold:style.borders = bordersreturn style#文件存在就复制一份，并在其表的后面插入一个，不存在就新创建一个if file_is_exist(excle_file_name):print 'file 【%s】 exist ' % excle_file_nameread_and_copy_excle(excle_file_name)#复制一个excle并追加一个sheet页else:print 'file 【%s】is not  exist, will create it ' % excle_file_nameexcel_flag=xlwt.Workbook()#新建excel工作薄write_excel(excel_flag,excle_file_name)#自定义打印函数
def self_log(msg):print u'%s: %s' % (time.strftime('%Y-%m-%d %H:%M:%S'), msg)#获取页面内容
def  get_html(url):headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'}req = urllib2.Request(url=url,headers=headers)try:html = urllib2.urlopen(req).read()except urllib2.HTTPError,e:print e.codereturn html#得到博客页面总数
def get_last_page(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')if page.find('div',class_ ='pagelist').find_all('a'):last_page=page.find('div',class_ ='pagelist').find_all('a')last_page= last_page[len(last_page)-1].get('href')[-1:]self_log('总共有%s 页博客' % last_page)fd.write('总共有%s 页博客\n' % last_page)return last_pageelse:return 1#获取积分内容
def get_rank(html,fd):if not html:self_log(u'页面错误，停止运行') returnpage = BeautifulSoup(html,'lxml')rank_list=[]if page.find(id='blog_rank'):rank_content=page.find(id='blog_rank')i =1for rank in rank_content.find_all('li'):if i<3:self_log(rank.text)fd.write(rank.text)fd.write('\n')rank_list.append(rank.text)i +=1return rank_list#获取页面列表
def get_items(url):content_html=get_html(url)page = BeautifulSoup(content_html,'lxml')items = page.find_all('div',class_ ='list_item list_view')return items#根据每一个items list 提取需要的元素
def handle_items(items,content_list,read_num_for_sort):for item in items:temp={}#临时变量title=item.find('a')#标题content_url='http://blog.csdn.net'+title.get('href')#标题对应文章的地址read_times=item.find('span',class_ ='link_view').text.strip()#阅读次数comments_time=item.find('span',class_ ='link_comments')#评论次数read_number = int(filter(str.isdigit, str(read_times)))  #提取出来具体阅读次数的数字，为之后的排序做准备read_num_for_sort.append(read_number)#将数据打包temp['indexs']=read_numbertemp['title']=title.text.strip()temp['read_times']=read_timestemp['comments_time']=comments_time.text.strip()temp['content_url']=content_urlcontent_list.append(temp)#创建文件夹
def mkdir_folder(path):if not os.path.exists(path):  os.makedirs(path) #获取页面信息
def getContent(html):page = BeautifulSoup(html,'lxml')try:title=page.find('div',class_='article_title').find('a').texttitle=title.strip()except Exception,e:print etry:content=page.find('div',class_='article_content')dir_path='count'artitle_name_path=dir_path+'/'+title+'.txt'with open(artitle_name_path+'.txt','w') as f:f.write(content.text)self_log(u'存贮文章：%s 完毕' % title)except Exception,e:print e#存贮每一篇文章到本地
def run_to_get_article(content_total_list):self_log('start save every article  ')for article_content in content_total_list:article_url=article_content.split('|')[4]self_log( '将要存贮的地址是： %s ...' % article_url)artitle_html=get_html(article_url)getContent(artitle_html)#将内容存贮到excel中
def run_to_save_info_in_excel(content_total_list):self_log('start save info into excel')excel_w=Workbook()excel_sheet_name=time.strftime('%Y-%m-%d_%H-%M-%S')excel_content_handler=excel_w.add_sheet(excel_sheet_name) first_line=[u'编号',u'标题',u'阅读次数',u'评论次数',u'文章地址']cols=0for content in first_line:excel_content_handler.write(0,cols,content)cols +=1index=1for article_content in content_total_list:cols =0for a in article_content.split('|'):excel_content_handler.write(index,cols,a)cols +=1index +=1excel_w.save('count/'+'count_'+time.strftime('%Y-%m-%d_%H-%M')+'.xls')#程序运行主函数
def run(url):read_num_for_sort=[]content_list=[]content_total_list=[]#定义文件夹名字并创建文件夹dir_path='count'mkdir_folder(dir_path)#定义文件名字count_file_name=dir_path+'/'+datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')+'.txt'fd=open(count_file_name,'w')#1.从主页进入获取页面总数main_html=get_html(url)last_page=get_last_page(main_html,fd)#2.获取积分内容rank_list=get_rank(main_html,fd)#3.组装url，分别加载每页的页面,同时在每一个页面提取我们需要的内容for i in range(1,int(last_page)+1):main_url=url.split('?')[0]+'/article/list/%d?viewmode=contents' % iself_log('即将获取第%d页的内容，地址是：%s' % (i,main_url))items=get_items(main_url)#获取每一页的页面内容，根据页面内容得到文章item listhandle_items(items,content_list,read_num_for_sort)#处理item list#4.根据阅读次数 进行排序read_num_for_sort.sort()print read_num_for_sort'''这也是一种排序思想，其中有一些缺陷for i in read_num_for_sort:for a in content_list:if int(i) == int(a['indexs']):totalcontent=a['content']+'\t|'+a['read_time']+'\t|'+a['comments_time']+'\t|'+a['contemtUrl']'''self_log('总共有%d 篇文章' % len(content_list))#根据得到的数据，统计文章总数#根据 indexs（阅读次数）这个索引值进行排序#非常好的一个根据列表中字典数据进行排序的方法content_list = sorted(content_list,cmp=lambda x,y:cmp(x['indexs'],y['indexs']),reverse=0)article_index = 1for a in content_list:#组装打印语句totalcontent= '第'+str(article_index)+'篇|'+a['title']+'|'+a['read_times']+'|'+a['comments_time']+'|'+a['content_url']#self_log(totalcontent)print totalcontent#将其存贮到本地fd.write(totalcontent)fd.write('\n')article_index +=1content_total_list.append(totalcontent)fd.close()       return content_total_listif __name__ == '__main__': print '''' ***************************************** **    Welcome to Spider of Count CSDN  ** **      Created on 2017-04-12          ** **      @author: Jimy_Fengqi           ** *****************************************''' url=raw_input(u'请输入将要统计的个人csdn主页地址，类似如下：\n http://blog.csdn.net/qiqiyingse?viewmode=contents')if not url:url='http://blog.csdn.net/qiqiyingse?viewmode=contents'content_total_list=run(url)#run_to_save_info_in_excel(content_total_list)create_excel(content_total_list)#run_to_get_article(content_total_list)

第八版

这个版本是在python3上面跑的，同时更新了一些细节

将爬取数据模块，处理模块都分开了

# -*- coding: utf-8 -*-
# @Date    : 2018-08-20 13:48:04
# @Author  : Jimy_Fengqi (jmps515@163.com)
# @Link    : https://blog.csdn.net/qiqiyingse/
# @Version : v1.0import sys
import os
import time
import re
import json
from xlwt import Workbookfrom pyquery import PyQuery as pqfrom functools import cmp_to_key
import requests
from selenium import webdriver
from selenium.webdriver.chrome.options import Options#自定义log函数，主要是加上时间
def logger(msg):print ('%s: %s' % (time.strftime('%Y-%m-%d_%H-%M-%S'), msg))class CSDNSpider():def __init__(self):#自己博客主页self.csdn_url = 'http://blog.csdn.net/qiqiyingse?viewmode=contents'self.page_base_url="http://blog.csdn.net/qiqiyingse/article/list/"self.contentList=[]self.contentLists=[]# 爬虫伪装头部设置self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:51.0) Gecko/20100101 Firefox/51.0'}# 设置操作超时时长self.timeout = 5# 爬虫模拟在一个request.session中完成self.mySession = requests.Session()self.phantomjs_path=r'C:\Users\Administrator\AppData\Local\Programs\Python\Python36\selenium\phantomjs-2.1.1-windows\bin\phantomjs.exe'self.chromedriver_path=  r'C:\Users\Administrator\AppData\Local\Programs\Python\Python36\selenium\chromedriver.exe'self.mylisttest=[{'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81980458', 'acticle_title': '转 python 获取操作系统信息或者用户名', 'read_num': 20, 'index': 1}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81776735', 'acticle_title': '原 NodeJS学习（2）构建第一个爬虫', 'read_num': 49, 'index': 2}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81668517', 'acticle_title': '转 Python Webdriver 重新使用已经打开的浏览器实例', 'read_num': 55, 'index': 3}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81281658', 'acticle_title': '原 python 小工具--像打字机一样输出内容', 'read_num': 55, 'index': 4}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81567080', 'acticle_title': '原 python实现屏幕录制', 'read_num': 64, 'index': 5}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/81565263', 'acticle_title': '转 解决Python读取文件时出现编码异常', 'read_num': 67, 'index': 6}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/79442645', 'acticle_title': '转 安装scrapy报错 Python.h: 没有那个文件或目录', 'read_num': 97, 'index': 7}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/80269610', 'acticle_title': '原 Android 编译,烧机的一些方法', 'read_num': 108, 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'https://blog.csdn.net/qiqiyingse/article/details/71172347', 'acticle_title': '原 使用python装饰器计算函数运行时间', 'read_num': 1519, 'index': 52}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/72553279', 'acticle_title': '原 python技巧——自己做验证码', 'read_num': 1525, 'index': 53}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71123322', 'acticle_title': '转 Python下调用Linux的Shell命令', 'read_num': 2118, 'index': 54}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/78501034', 'acticle_title': '原 python爬虫（19）爬取论坛网站——网络上常见的gif动态图', 'read_num': 2199, 'index': 55}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/72633711', 'acticle_title': '原 Mongodb学习（8）pymongdb的使用——数据去重', 'read_num': 2584, 'index': 56}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71640203', 'acticle_title': '原 python爬虫（10）身边的翻译专家——获取有道翻译结果', 'read_num': 2600, 'index': 57}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59483706', 'acticle_title': '原 08_python_练习题——乘法表', 'read_num': 2912, 'index': 58}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59488018', 'acticle_title': '原 python——利用python通过浏览器打开博客页面', 'read_num': 2987, 'index': 59}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71227451', 'acticle_title': '转 （一）单例模式详解', 'read_num': 2994, 'index': 60}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70048820', 'acticle_title': '转 Python中PyQuery库的使用总结', 'read_num': 3007, 'index': 61}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71122905', 'acticle_title': '原 python小工具——下载更新代码工具', 'read_num': 3035, 'index': 62}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59112217', 'acticle_title': '原 01_python_练习题_使用python直接打开网页', 'read_num': 3053, 'index': 63}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59483629', 'acticle_title': '原 07_python_练习题——数值排序', 'read_num': 3063, 'index': 64}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70143777', 'acticle_title': '原 17_python_练习题——打印指定目录下的文件和文件夹（相当于tree命令）', 'read_num': 3078, 'index': 65}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60132246', 'acticle_title': '转 [Python] xrange和range的使用区别', 'read_num': 3090, 'index': 66}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60144027', 'acticle_title': '原 13_python_练习题——文件重定向', 'read_num': 3098, 'index': 67}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/67641261', 'acticle_title': '原 12_python爬虫——下载个人CSDN博客内容', 'read_num': 3102, 'index': 68}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59112479', 'acticle_title': '原 02_python_练习题——图形界面', 'read_num': 3142, 'index': 69}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60582816', 'acticle_title': '原 python爬虫（5）黑板客第三关', 'read_num': 3168, 'index': 70}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59481693', 'acticle_title': '原 05_python_练习题——平方数', 'read_num': 3169, 'index': 71}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60129630', 'acticle_title': '原 12_python_练习题——统计输入字符里面有多少', 'read_num': 3209, 'index': 72}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/55260352', 'acticle_title': '原 Python的安装', 'read_num': 3213, 'index': 73}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/55517278', 'acticle_title': '转 python version 2.7 required,which was not found in the registry', 'read_num': 3274, 'index': 74}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/62427733', 'acticle_title': '原 15_python_练习题——使用webdriver查询IP地址', 'read_num': 3290, 'index': 75}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60582751', 'acticle_title': '原 15_python_练习题——打印日历', 'read_num': 3329, 'index': 76}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/61197123', 'acticle_title': '原 统计个人CSDN的博客文章数量', 'read_num': 3340, 'index': 77}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60572338', 'acticle_title': '原 python爬虫（4）四种方法通过黑板客第二关', 'read_num': 3350, 'index': 78}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70208940', 'acticle_title': '原 19_python_练习题——CSV文件读写练习', 'read_num': 3375, 'index': 79}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70172218', 'acticle_title': '原 18_python_练习题——写入文件到word文档中', 'read_num': 3378, 'index': 80}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/64522690', 'acticle_title': '原 python爬虫（7）爬取糗事百科段子（UI版）', 'read_num': 3378, 'index': 81}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70125444', 'acticle_title': '转 linux后台运行和关闭、查看后台任务', 'read_num': 3406, 'index': 82}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70145804', 'acticle_title': '转 SSH 的详细使用方法', 'read_num': 3434, 'index': 83}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70855457', 'acticle_title': '转 python的一个好玩模块wordcloud', 'read_num': 3438, 'index': 84}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70843626', 'acticle_title': '转 shell脚本：Syntax error: Bad for loop variable错误解决方法', 'read_num': 3439, 'index': 85}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/55259304', 'acticle_title': '原 py2exe的使用', 'read_num': 3487, 'index': 86}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70161637', 'acticle_title': '转 卸载win10 自带应用', 'read_num': 3514, 'index': 87}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/68926007', 'acticle_title': '原 python——一个投票器', 'read_num': 3514, 'index': 88}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59113090', 'acticle_title': '原 04_python_练习题——企业利润', 'read_num': 3533, 'index': 89}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70138912', 'acticle_title': '转 Python爬虫防封杀方法集合', 'read_num': 3639, 'index': 90}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60144578', 'acticle_title': '原 python爬虫（3）五种方法通过黑板客第一关', 'read_num': 3826, 'index': 91}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71131120', 'acticle_title': '原 将python代码和注释分离', 'read_num': 3998, 'index': 92}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71308389', 'acticle_title': '转 （二）代理模式详解（包含原理详解）', 'read_num': 4186, 'index': 93}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71344110', 'acticle_title': 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106}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70049591', 'acticle_title': '原 json.dumps和 json.loads 区别，如此简单', 'read_num': 5649, 'index': 107}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59502402', 'acticle_title': '原 10_python_练习题——兔子问题与斐波那契數列', 'read_num': 5831, 'index': 108}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59483966', 'acticle_title': '原 09_python_练习题——暂停一秒', 'read_num': 5879, 'index': 109}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59483536', 'acticle_title': '原 06_python_练习题——查找一年之中第几天', 'read_num': 5930, 'index': 110}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/59112715', 'acticle_title': '原 03_python_练习题——排列组合', 'read_num': 5949, 'index': 111}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/62231679', 'acticle_title': '原 python爬虫（8）爬取tuchong网站美图', 'read_num': 6060, 'index': 112}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/68944885', 'acticle_title': '原 python爬虫——爬取链家房价信息（未完待续）', 'read_num': 6185, 'index': 113}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70209450', 'acticle_title': '原 python使用代理访问网站', 'read_num': 6193, 'index': 114}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71168993', 'acticle_title': '转 webdriver+selenium面试总结', 'read_num': 6374, 'index': 115}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/68061256', 'acticle_title': '原 02_python安装错误——2502、2503错误', 'read_num': 6483, 'index': 116}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71123066', 'acticle_title': '原 python——接收处理外带的参数', 'read_num': 7459, 'index': 117}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/68496603', 'acticle_title': '转 Python面试必须要看的15个问题', 'read_num': 7477, 'index': 118}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70175619', 'acticle_title': '原 python爬虫(13)爬取百度贴吧帖子', 'read_num': 7619, 'index': 119}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70766993', 'acticle_title': '原 python_获取当前代码行号_获取当前运行的类名和函数名的方法', 'read_num': 7645, 'index': 120}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71173514', 'acticle_title': '原 python爬虫（11）身边的搜索专家——获取百度搜索结果', 'read_num': 7770, 'index': 121}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70674353', 'acticle_title': '原 python_制作自己的函数库', 'read_num': 7908, 'index': 122}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/62985485', 'acticle_title': '原 python爬虫(14)获取淘宝MM个人信息及照片（下）（windows版本）', 'read_num': 7990, 'index': 123}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71326756', 'acticle_title': '原 使用notepad++开发python的配置——代码缩进、自动补齐、运行', 'read_num': 8389, 'index': 124}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60583129', 'acticle_title': '原 python爬虫（6）爬取糗事百科', 'read_num': 8788, 'index': 125}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71081165', 'acticle_title': '转 python安装scipy 遇到的问题', 'read_num': 9595, 'index': 126}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70766654', 'acticle_title': '转 python_python中try except处理程序异常的三种常用方法', 'read_num': 9897, 'index': 127}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70843655', 'acticle_title': '转 shell for循环1到100', 'read_num': 10421, 'index': 128}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/60146843', 'acticle_title': "原 python编译错误(1)字符编码问题UnicodeDecodeError: 'ascii' codec", 'read_num': 10838, 'index': 129}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/62894826', 'acticle_title': '原 python爬虫(14)获取淘宝MM个人信息及照片（中）', 'read_num': 11136, 'index': 130}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/62418857', 'acticle_title': '原 python爬虫（9）获取动态搞笑图片', 'read_num': 11543, 'index': 131}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/51801918', 'acticle_title': '原 python爬虫（2）爬取游民星空网的图片', 'read_num': 13661, 'index': 132}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71082263', 'acticle_title': '原 python爬虫(20)使用真实浏览器打开网页的两种方法', 'read_num': 16160, 'index': 133}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/51879501', 'acticle_title': '原 python爬虫（1）下载任意网页图片', 'read_num': 16323, 'index': 134}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/51798833', 'acticle_title': '原 python爬虫(15)爬取百度百科字条_精品', 'read_num': 17306, 'index': 135}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/65631698', 'acticle_title': '原 python爬虫(16)使用scrapy框架爬取顶点小说网', 'read_num': 17652, 'index': 136}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/46800537', 'acticle_title': '原 C语言常见面试题（经典中的经典）', 'read_num': 19962, 'index': 137}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/71126591', 'acticle_title': '原 python爬虫（18）爬取微信公众号内容——绘制词云', 'read_num': 20565, 'index': 138}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70160059', 'acticle_title': '原 python爬虫（17）爬出新高度_抓取微信公众号文章（selenium+phantomjs）（下）（windows版本）', 'read_num': 22474, 'index': 139}, {'new_acrticle_url': 'https://blog.csdn.net/qiqiyingse/article/details/70050113', 'acticle_title': '原 python爬虫(17)爬出新高度_抓取微信公众号文章（selenium+phantomjs）（上）', 'read_num': 32994, 'index': 140}]def get_html_by_request(self,url):logger(u'开始使用 request 获取的网页为：%s' %  url)try:html = self.mySession.get(url, headers=self.headers, timeout=self.timeout)return html.contentexcept Exception as e:logger(e)  def get_selenium_js_html(self, url):driver = webdriver.PhantomJS(executable_path=self.phantomjs_path)'''chrome_options = Options()#chrome_options.add_argument('--headless')chrome_options.add_argument('--user-agent=iphone')chrome_options.add_argument('--disable-gpu')driver = webdriver.Chrome(executable_path=self.chromedriver_path,chrome_options=chrome_options)'''logger(u'开始使用 phantomjs 加载网页：%s' %  url)try:driver.get(url) time.sleep(2) # 执行js得到整个页面内容html = driver.execute_script("return document.documentElement.outerHTML")driver.close()return htmlexcept Exception as e:logger(e)def parse_html_by_pyquery(self, html):if not html:logger("获得的网页有问题， 请检查。。。")else:logger('转换网页成功')return pq(html)def get_pageNumber(self,doc):#print (doc)#numcontent=doc('div[class=ui-paging-container]')numcontent=doc('li[class=ui-pager]')page_number=numcontent[len(numcontent)-1].text.strip()page_number =int(int(page_number) * 2.5)+1logger('current blogger has page num is  %s' % page_number)return page_numberdef get_artilcle_list(self,doc):logger('start to get article list...')acrticle_list=doc('div[class="article-item-box csdn-tracking-statistics"]')logger(len(acrticle_list))for acrticle in acrticle_list.items():tmp={}tmp['acticle_title']=acrticle('h4')('a').text().strip()read_num_content=acrticle('span[class=read-num]')[0].texttmp['read_num']=int(re.sub("\D","",read_num_content))#logger("read_num is %d" % tmp['read_num'])#acrticle_url=acrticle('p[class=content]')('a').attr('href')tmp['new_acrticle_url']=acrticle('h4')('a').attr('href')logger(tmp['new_acrticle_url'])self.contentList.append(tmp)#自定义排序功能，按照关键字对列表进行排序,然后将索引添加到字典中def mysort(self,listname,keywords,reverse=1):'''Parater:listname:需要处理的listkeywords:按照keywords进行排序reverse：正序还是逆序,1为正序，0为逆序'''from functools import cmp_to_keyif reverse:newlist=sorted(listname,key=cmp_to_key(lambda x,y:x[keywords]-y[keywords]) )else:newlist=sorted(listname,key=cmp_to_key(lambda x,y:y[keywords]-x[keywords]))for item in newlist:item['index'] = newlist.index(item)+1return newlistdef run(self):#第一步，获取页码数目main_html=self.get_selenium_js_html(self.csdn_url)main_doc=self.parse_html_by_pyquery(main_html)page_number=self.get_pageNumber(main_doc)#第二步，查找文章listfor i in range(1,int(page_number)):new_url=self.page_base_url+str(i)acrticle_html=self.get_html_by_request(new_url)acrticle_doc=self.parse_html_by_pyquery(acrticle_html)self.get_artilcle_list(acrticle_doc)logger(len(self.contentList))self.contentLists = self.mysort(self.contentList,"read_num",1 )logger(self.contentLists)return self.contentListsdef testA(self):     logger(len(self.mylisttest))contentList = self.mysort(self.mylisttest,"read_num",1)aa=[]for i in contentList:logger("index is  %d ...read num is: %d .... url is %s" % (i['index'],i['read_num'],i['new_acrticle_url']))tmp="index is  %d ...read num is: %d .... url is %s" % (i['index'],i['read_num'],i['new_acrticle_url'])aa.append(tmp)return aadef testForSortFunc(self):Tilist = self.mysort(self.mylisttest,'read_num',1)for i in Tilist:print (i['read_num'])Tilist = self.mysort(self.mylisttest,'read_num',0)for i in Tilist:print (i['read_num'])class HandleMyData():def __init__(self,data):self.myfoldername='qiqiyingse'self.needhandledata=datadef dealData(self):self.create_dir(self.myfoldername)filename=self.myfoldername+'/'+self.myfoldername+'.txt'self.save_content_to_file(filename,self.needhandledata)logger("data write in [text]  finished.....")self.run_to_save_info_in_excel(self.needhandledata)logger("data write in [excel]  finished.....")def test(self):logger('just a test')logger('not just a test ')#将内容存贮到excel中def run_to_save_info_in_excel(self,data):logger('start save info into excel')excel_w=Workbook()excel_sheet_name=time.strftime('%Y-%m-%d_%H-%M-%S')excel_table_name=time.strftime('%Y-%m-%d_%H-%M')excel_content_handler=excel_w.add_sheet(excel_sheet_name) first_line=[u'标题',u'阅读次数',u'文章地址',u'排名']cols=0for content in first_line:excel_content_handler.write(0,cols,content)cols +=1index=1for data_dict in data:cols=0for data_details in data_dict:#logger((data_details,data_dict[data_details],"内容写入excel"))excel_content_handler.write(index,cols,data_dict[data_details])cols +=1index +=1excel_w.save(self.myfoldername+'/'+self.myfoldername+excel_table_name+'.xls')#存储文章到本地  def save_content_to_file(self,title,content):logger('start to write info in [text]...')with open(title, 'w',encoding='utf-8') as f:for info_dict in content:f.write(str(info_dict)+'\n')for info in info_dict:#logger((info,info_dict[info]))#f.write(str(info)+str(info_dict[info])+'\n')f.write(str(info_dict[info])+'\t\t\t\t')f.write('\n')def create_dir(self,dirname):if not os.path.exists(dirname):os.makedirs(dirname)logger(" %s  not exists, create it" % dirname)else:logger("dirname already exist, didn't need to creat")class RunUrlInBrowser():def __init__(self,data):self.listData=datadef getUrlFromData(self):'''#用这种方式提取列表比较常规，但是代码也多urllist=[]for url in self.listData:urllist.append(url['new_acrticle_url'])return urllist    '''  return  [data_info['new_acrticle_url']  for data_info in self.listData]def LoadUrlAccordingtoLocalBrowser(self):import webbrowser as weburllist=self.getUrlFromData()t=5000while t:for i in range(1,9):logger(urllist[i])web.open_new_tab(urllist[i])time.sleep(5)os.system('taskkill /f /IM firefox.exe')t=t-1def welcom():print(''.center(50,'*'))print('Welcome to Spider of CSDN'.center(50,'*'))print('Created on 2018-08-20'.center(50,'*'))print('@author: Jimy _Fengqi'.center(50,'*'))print(''.center(50,'*'))if __name__ == '__main__':print ('''************************************************** **        Welcome to Spider of CSDN             ** **         Created on 2018-08-20                ** **         @author: Jimy _Fengqi                ** **************************************************''')welcom()mycsdn=CSDNSpider()data = 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