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Python爬虫(1)——基于BeautifulSoup爬取豆瓣电影信息

2017-03-26 21:56 477 查看
本文主要用BeautifulSoup来爬取豆瓣Top电影信息。软件环境基于Anaconda3+python3.5

具体代码如下所示:

# -*- coding: utf-8 -*-
"""
Created on Sun Mar 26 21:37:18 2017

@author: zch
"""

import urllib.request
import re
from bs4 import BeautifulSoup
import codecs

#爬虫函数
def crawl(url):
page = urllib.request.urlopen(url)
contents = page.read()
soup = BeautifulSoup(contents, "html.parser")
print (u'豆瓣电影250: 序号 \t影片名\t 评分 \t评价人数')
infofile.write(u"豆瓣电影250: 序号 \t影片名\t 评分 \t评价人数\r\n")
print (u'爬取信息如下:\n')
for tag in soup.find_all(attrs={"class":"item"}):
#print tag
#爬取序号
num = tag.find('em').get_text()
print (num)
#爬取电影名称
name = tag.find(attrs={"class":"hd"}).a.get_text()
name = name.replace('\n',' ')
print (name)
infofile.write(num+" "+name+"\r\n")
#电影名称
title = tag.find_all(attrs={"class":"title"})
i = 0
for n in title:
text = n.get_text()
text = text.replace('/','')
text = text.lstrip()
if i==0:
print (u'[中文标题]', text)
infofile.write(u"[中文标题]" + text + "\r\n")
elif i==1:
print (u'[英文标题]', text)
infofile.write(u"[英文标题]" + text + "\r\n")
i = i + 1
#爬取评分和评论数
info = tag.find(attrs={"class":"star"}).get_text()
info = info.replace('\n',' ')
info = info.lstrip()
print (info)
mode = re.compile(r'\d+\.?\d*')
print (mode.findall(info))
i = 0
for n in mode.findall(info):
if i==0:
print (u'[分数]', n)
infofile.write(u"[分数]" + n + "\r\n")
elif i==1:
print (u'[评论]', n)
infofile.write(u"[评论]" + n + "\r\n")
i = i + 1
#获取评语
info = tag.find(attrs={"class":"inq"})
if(info): # 132部电影 [消失的爱人] 没有影评
content = info.get_text()
print (u'[影评]',content)
infofile.write(u"[影评]" + content + "\r\n")
print ('')

#主函数
if __name__ == '__main__':

infofile = codecs.open("Result_Douban.txt", 'a', 'utf-8')
url = 'http://movie.douban.com/top250?format=text'
i = 0
while i<10:
print (u'页码', (i+1))
num = i*25 #每次显示25部 URL序号按25增加
url = 'https://movie.douban.com/top250?start=' + str(num) + '&filter='
crawl(url)
infofile.write("\r\n\r\n\r\n")
i = i + 1
infofile.close()


爬取的豆瓣电影信息都存储在文本文件中,以供后续分析,如下图所示:

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标签:  python 爬虫 豆瓣 bs4