Crawler：基于BeautifulSoup库+requests库实现爬取2018最新电影《后来的我们》热门短评

目录

输出结果

实现代码

输出结果

实现代码

 -*- coding: utf-8 -*-
 
Py之Crawler：利用BeautifulSoup库实现爬取2018最新电影《后来的我们》热门短评
import time
import requests
import csv
from bs4 import BeautifulSoup
head = 'https://movie.douban.com/subject/'
middle = '/comments?start='
zr_tail = '&limit=20&sort=new_score&status=P&percent_type='
names = []
header = {
   'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0'
}
 
zr_urls = ['最热'] 
def createUrls(): 
   for j in range(1, 34, 2): 
       name = names[j]
       print(name)
       for i in range(0, 100, 20):
           zr_urls.append(head + str(name) + middle + str(i) + zr_tail) 
           print(zr_urls)得到某个电影短评地址(默认最热排序)，如https://movie.douban.com/subject/27063335/comments?start=0&limit=20&sort=new_score&status=P&percent_type=
 
def readName(): 
   with open('爬取电影名称.txt', mode='r', encoding='utf-8') as f:
       for i in f.readlines():
           i = i.strip('\n')
           names.append(i)
           print(names)  
readName()
createUrls()
get_comments(zr_urls)  传入zr_urls

完整代码，后续一周内即将公布！

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