爬取豆瓣电影（requests+lxml）

一、摘要

本文利用requests和lxml两个库实现了对豆瓣电影网址中每一部电影的名称、导演、主演、评分以及简介进行爬取，方法比较老套，但是也会收获一些东西。

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二、运行环境

1.Pycharm
2.python 3.6
3.requests
4.lxml

三、思路

（1）主页链接为https://movie.douban.com/top250，一共有10页，每页25部电影，每部电影都位于

标签下。
（2）我们有两种方法实现翻页，通过分析，我们发现每一页的url都存在密切的关联，第一页为https://movie.douban.com/top250?start=0&filter=，第二页为https://movie.douban.com/top250?start=25&filter=，第三页为https://movie.douban.com/top250?start=50&filter=，我们发现url中start的值在发生变化，因此我们可以利用一个for循环遍历每一页；第二种方法为我们可以自动提取每一个中“后页”这个按钮的链接，从而快速构建下一页的url。

四、实现代码

import requests
import random
from lxml import etree

UA_LIST = [
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
  "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
  "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
  "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]

headers = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
  'Accept-Encoding': 'gzip, deflate, br',
  'Accept-Language': 'zh-CN,zh;q=0.9',
  'Connection': 'keep-alive',
  'Host': 'movie.douban.com',
  'User-Agent': random.choice(UA_LIST)
}

def downloadHtml(url):
   try:
       r = requests.get(url, headers=headers)
       r.raise_for_status()
       r.encoding = r.apparent_encoding
       return r.text
   except:
       return ""

def parse(url):
   response = downloadHtml(url)
   html = etree.HTML(response)
   try:
       names = html.xpath("//*[@id='content']/div/div[1]/ol/li/div/div[2]/div[1]/a/span[1]/text()")
       doctor = html.xpath("//*[@id='content']/div/div[1]/ol/li/div/div[2]/div[2]/p[1]/text()[1]")
       review = html.xpath("//*[@id='content']/div/div[1]/ol/li/div/div[2]/div[2]/div/span[2]/text()")
       introduce = html.xpath("//*[@id='content']/div/div[1]/ol/li/div/div[2]/div[2]/p[2]/span/text()")
       for names_i, doctor_i, review_i, introduce_i in zip(names, doctor, review, introduce):
           content = {
               'names': names_i,
               'doctor': doctor_i.replace('\n', ' ').replace(' ', '').replace('\xa0', ''),
               'review': review_i,
               'introduce': introduce_i
           }
           print(content)
   except:
       print("错误信息")

def URL(url):
   try:
       response = downloadHtml(url)
       html = etree.HTML(response)
       new_url = html.xpath("//*[@id='content']/div/div[1]/div[2]/span[3]/a/@href")[0]
       return new_url
   except:
       print("执行结束")

if __name__ == '__main__':
   start_url = "https://movie.douban.com/top250"
   # 点击后页
   while(True):
       try:
           parse(start_url)
           n_url = "https://movie.douban.com/top250" + URL(start_url)
           start_url = n_url
       except:
           break

五、运行结果

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