1 #!/usr/bin/env python
 2 # encoding=utf-8
 3 import requests
 4 import re
 5 import codecs
 6 from bs4 import BeautifulSoup
 7 from openpyxl import Workbook
 8 wb = Workbook()
 9 dest_filename = '電影.xlsx'
10 ws1 = wb.active
11 ws1.title = "電影top250"
12 
13 DOWNLOAD_URL = 'http://movie.douban.com/top250/'
14
 
 
15 
16 def download_page(url):
17     """獲取url地址頁面內容"""
18     headers = {
19         'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36'
20     }
21     data = requests.get(url, headers=headers).content
22     return data
 
23 
24 
25 def get_li(doc):
26     soup = BeautifulSoup(doc, 'html.parser')
27     ol = soup.find('ol', class_='grid_view')
28     name = []  # 名字
29     star_con = []  # 評價人數
30     score = []  # 評分
31     info_list = []  # 短評
32     desc_list = [] # 簡介
33     for i in ol.find_all('li'):
34         detail = i.find('
 
div', attrs={'class': 'hd'})
35         movie_name = detail.find(
36             'span', attrs={'class': 'title'}).get_text()  # 電影名字
37         level_star = i.find(
38             'span', attrs={'class': 'rating_num'}).get_text()  # 評分
39         star = i.find('div', attrs={'class': 'star'})
40         star_num = star.find(text=re.compile('評價'))  # 評價
41         info = i.find('span', attrs={'class': 'inq'})  # 短評
42         desc = i.find('p', attrs={'class': ''})  # 介紹
43         desc_list.append(desc.get_text())
44         
45         if info:  # 判斷是否有短評
46             info_list.append(info.get_text())
47         else:
48             info_list.append('無')
49         score.append(level_star)
50 
51         name.append(movie_name)
52         star_con.append(star_num)
53     page = soup.find('span', attrs={'class': 'next'}).find('a')  # 獲取下一頁
54     if page:
55         return name, star_con, score, info_list, desc_list, DOWNLOAD_URL + page['href']
56     return name, star_con, score, info_list, desc_list,None
57 
58 
59 def main():
60     url = DOWNLOAD_URL
61     name = []
62     star_con = []
63     score = []
64     info = []
65     desc = []
66     while url:
67         doc = download_page(url)
68         movie, star, level_num, info_list, desc_list, url = get_li(doc)
69         name = name + movie
70         star_con = star_con + star
71         score = score + level_num
72         info = info + info_list
73         desc = desc + desc_list
74     for (i, m, o, p , d) in zip(name, star_con, score, info , desc):
75         col_A = 'A%s' % (name.index(i) + 1)
76         col_B = 'B%s' % (name.index(i) + 1)
77         col_C = 'C%s' % (name.index(i) + 1)
78         col_D = 'D%s' % (name.index(i) + 1)
79         col_E = 'E%s' % (name.index(i) + 1)
80         ws1[col_A] = i
81         ws1[col_B] = m
82         ws1[col_C] = o
83         ws1[col_D] = p
84         ws1[col_E] = d
85     wb.save(filename=dest_filename)
86 
87 
88 if __name__ == '__main__':
89     main()

用完python寫爬蟲，再也不想用php寫了，方便太多了。php只有無數的正則匹配，效率低，還寫的累。。。