批量抓取豆瓣电影TOP250数据

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#!/usr/bin/env python
import urllib.request
from bs4 import BeautifulSoup
mylist = []
print(u'豆瓣电影TOP250:n 序号 t 影片名t 评分t 评价人数t 评价')
def crawl(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 = urllib.request.Request(url,headers=headers)
    page = urllib.request.urlopen(req,timeout=60)
    contents = page.read()
    soup = BeautifulSoup(contents)
    for tag in soup.find_all('div',class_='item'):
        try:
            m_order = int(tag.find('em',class_='').get_text())
            m_name = tag.span.get_text()
            m_rating_score = float(tag.find('div',class_='star').em.get_text())
            m_rating_num = tag.find('div',class_='star').span.next_sibling.next_sibling.get_text()
            m_comments = tag.find("span",class_="inq").get_text()
        except AttributeError:
            print("%s %s %s %s %s" % (m_order,m_name,m_rating_score,m_rating_num,"NO COMMENTS"))
            mylist.append((m_order,"NO COMMENTS"))
        else:
            print("%s %s %s %s %s" % (m_order,m_comments))
            mylist.append((m_order,m_comments))

pagenumber = []
for i in range(10):
    page_number = 25*i
    pagenumber.append(page_number)
pagelist = list(map(str,pagenumber))

BASE_URL = 'http://movie.douban.com/top250?start='
LAST_URL = '&filter=&type='
for url in [ BASE_URL + MID_URL + LAST_URL for MID_URL in pagelist ]:
    crawl(url)

import tablib
headers = ('m_order','m_name','m_rating_score','m_rating_num','m_comments')
mylist = tablib.Dataset(*mylist,headers=headers)
print(mylist.csv)
with open('D:doubanmovielist.xlsx','wb') as f:
    f.write(mylist.xlsx)

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