forked from lanbing510/DouBanSpider
-
Notifications
You must be signed in to change notification settings - Fork 0
/
doubanSpider.py
118 lines (97 loc) · 4.12 KB
/
doubanSpider.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
#-*- coding: UTF-8 -*-
import sys
import time
import urllib
import urllib2
import requests
import numpy as np
from bs4 import BeautifulSoup
from openpyxl import Workbook
reload(sys)
sys.setdefaultencoding('utf8')
def book_spider(book_tag):
page_num=0;
count=1
book_list=[]
try_times=0
#Some User Agents
hds=[{'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'},\
{'User-Agent':'Mozilla/5.0 (Windows NT 6.2) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.12 Safari/535.11'},\
{'User-Agent': 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Trident/6.0)'}]
while(1):
url="http://www.douban.com/tag/"+urllib.quote(book_tag)+"/book?start="+str(page_num*15)
time.sleep(np.random.rand()*2)
#Last Version
try:
req = urllib2.Request(url, headers=hds[page_num%len(hds)])
source_code = urllib2.urlopen(req).read()
plain_text=str(source_code)
except (urllib2.HTTPError, urllib2.URLError), e:
print e
continue
##Previous Version, IP is easy to be Forbidden
#source_code = requests.get(url)
#plain_text = source_code.text
soup = BeautifulSoup(plain_text)
list_soup = soup.find('div', {'class': 'mod book-list'})
try_times+=1;
if list_soup==None and try_times<200:
continue
elif list_soup==None or len(list_soup)<=1:
break # Break when no informatoin got after 200 times requesting
for book_info in list_soup.findAll('dd'):
title = book_info.find('a', {'class':'title'}).string.strip()
desc = book_info.find('div', {'class':'desc'}).string.strip()
desc_list = desc.split('/')
try:
author_info = '作者/译者: ' + '/'.join(desc_list[0:-3])
except:
author_info='作者/译者: 暂无'
try:
pub_info = '出版信息: ' + '/'.join(desc_list[-3:])
except:
pub_info='出版信息: 暂无'
try:
rating = book_info.find('span', {'class':'rating_nums'}).string.strip()
except:
rating='0.0'
try:
people_num = book_info.findAll('span')[2].string.strip()
people_num=people_num.strip('人评价')
except:
people_num='0'
book_list.append([title,rating,people_num,author_info,pub_info])
try_times=0 #set 0 when got valid information
page_num+=1
print "Downloading Information From Page %d" % page_num
return book_list
def do_spider(book_tag_lists):
book_lists=[]
for book_tag in book_tag_lists:
book_list=book_spider(book_tag)
book_list=sorted(book_list,key=lambda x:x[1],reverse=True)
book_lists.append(book_list)
return book_lists
def print_book_lists_excel(book_lists,book_tag_lists):
wb=Workbook(optimized_write=True)
ws=[]
for i in range(len(book_tag_lists)):
ws.append(wb.create_sheet(title=book_tag_lists[i].decode())) #utf8->unicode
for i in range(len(book_tag_lists)):
ws[i].append(['序号','书名','评分','评价人数','作者','出版社'])
count=1
for bl in book_lists[i]:
ws[i].append([count,bl[0],float(bl[1]),int(bl[2]),bl[3],bl[4]])
count+=1
save_path='book_list'
for i in range(len(book_tag_lists)):
save_path+=('-'+book_tag_lists[i].decode())
save_path+='.xlsx'
wb.save(save_path)
if __name__=='__main__':
#book_tag_lists = ['心理','判断与决策','算法','数据结构','经济','历史']
#book_tag_lists = ['传记','哲学','编程','创业','理财','社会学','佛教']
#book_tag_lists=['思想','科技','科学','web','股票','爱情','两性']
book_tag_lists=['计算机','机器学习','linux','android','数据库','互联网']
book_lists=do_spider(book_tag_lists)
print_book_lists_excel(book_lists,book_tag_lists)