33豆瓣图书短评

Posted 2021-11-29 www1707

练习介绍

要求：

本练习需要运用scrapy的知识，爬取豆瓣图书TOP250（https://book.douban.com/top250  ）前2页的书籍（50本）的短评数据存储成Excel

    书名

    评论ID

    短评内容

 

1、创建爬虫项目 

 

1 D:\\USERDATA\\python>scrapy startproject duanping
2 New Scrapy project ‘duanping‘, using template directory ‘c:\\users\\www1707\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\scrapy\\templates\\project‘, created in:
3     D:\\USERDATA\\python\\duanping
4 
5 You can start your first spider with:
6     cd duanping
7     scrapy genspider example example.com
8 
9 D:\\USERDATA\\python>

 

2、创建爬虫文件 D:\\USERDATA\\python\\duanping\\duanping\\spiders\\duanping.py

 

 1 import scrapy
 2 import bs4
 3 import re
 4 import requests
 5 import math
 6 from ..items import DuanpingItem
 7 
 8 class DuanpingItemSpider(scrapy.Spider):
 9     name = ‘duanping‘
10     allowed_domains = [‘book.douban.com‘]
11     start_urls = [‘https://book.douban.com/top250?start=0‘,‘https://book.douban.com/top250?start=0‘]
12 
13     def parse(self,response):
14         bs = bs4.BeautifulSoup(response.text,‘html.parser‘)
15         datas = bs.find_all(‘a‘,class_=‘nbg‘)
16         for data in datas:
17             book_url = data[‘href‘]
18             yield scrapy.Request(book_url,callback=self.parse_book)
19 
20     def parse_book(self,response):
21         book_url = str(response).split(‘ ‘)[1].replace(‘>‘,‘‘)
22         print(book_url)
23         bs = bs4.BeautifulSoup(response.text,‘html.parser‘)
24         comments = int(bs.find(‘a‘,href=re.compile(‘^https://book.douban.com/subject/.*/comments/‘)).text.split(‘ ‘)[1])
25         pages = math.ceil(comments / 20) + 1
26         #for i in range(1,pages):
27         for i in range(1,3):
28             comments_url = ‘{}comments/hot?p={}‘.format(book_url,i)
29             print(comments_url)
30             yield scrapy.Request(comments_url,callback=self.parse_comment)
31 
32     def parse_comment(self,response):
33         bs = bs4.BeautifulSoup(response.text,‘html.parser‘)
34         book_name = bs.find(‘a‘,href=re.compile(‘^https://book.douban.com/subject/‘)).text
35         datas = bs.find_all(‘li‘,class_=‘comment-item‘)
36         for data in datas:
37             item = DuanpingItem()
38             item[‘book_name‘] = book_name
39             item[‘user_id‘]= data.find_all(‘a‘,href=re.compile(‘^https://www.douban.com/people/‘))[1].text
40             item[‘comment‘] = data.find(‘span‘,class_=‘short‘).text
41             yield item

 

3、编辑item文件 D:\\USERDATA\\python\\duanping\\duanping\\items.py

 

1 import scrapy
2 
3 class DuanpingItem(scrapy.Item):
4     book_name = scrapy.Field()
5     user_id = scrapy.Field()
6     comment  = scrapy.Field()

 

4、编辑文件 D:\\USERDATA\\python\\duanping\\duanping\\pipelines.py

 

 1 import openpyxl
 2 
 3 class DuanpingPipeline(object):
 4     def __init__(self):
 5         self.wb = openpyxl.Workbook()
 6         self.ws = self.wb.active
 7         self.ws.append([‘书名‘,‘评论ID‘,‘评论内容‘])
 8     
 9     def process_item(self, item, spider):
10         line = [item[‘book_name‘],item[‘user_id‘],item[‘comment‘]]
11         self.ws.append(line)
12         return item
13     def close_spider(self,spider):
14         self.wb.save(‘./save.xlsx‘)
15         self.wb.close()

 

5、编辑D:\\USERDATA\\python\\duanping\\duanping\\settings.py

 

 1 BOT_NAME = ‘duanping‘
 2 
 3 SPIDER_MODULES = [‘duanping.spiders‘]
 4 NEWSPIDER_MODULE = ‘duanping.spiders‘
 5 
 6 USER_AGENT = ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.131 Safari/537.36‘
 7 
 8 ROBOTSTXT_OBEY = False
 9 
10 DOWNLOAD_DELAY = 1
11 
12 ITEM_PIPELINES = {
13     ‘duanping.pipelines.DuanpingPipeline‘: 300,
14 }
15 
16 FEED_URI = ‘./save.csv‘
17 FEED_FORMAT=‘CSV‘
18 FEED_EXPORT_ENCODING=‘utf-8-sig‘

 

6、执行命令  scrapy crawl duanping

 

---

以下是草稿部分

 

1、图书列表页

 

https://book.douban.com/top250?start=0

https://book.douban.com/top250?start=1

 

            <a class="nbg" href="https://book.douban.com/subject/1083428/"

 

 

2、图书详情页

 

https://book.douban.com/subject/1770782/

 

 

评论总数          <a href="https://book.douban.com/subject/1770782/comments/">全部 112943 条</a>

 

 

3、图书短评页

 

https://book.douban.com/subject/1770782/comments/hot?p=1      每页20个

 

 

书名                <a href="https://book.douban.com/subject/1770782/">追风筝的人</a>

 

 

 

find_all    <li class="comment-item" data-cid="693413905">

 

    评论ID[1]       <a title="九尾黑猫" href="https://www.douban.com/people/LadyInSatin/">

                          <a href="https://www.douban.com/people/LadyInSatin/">九尾黑猫</a>

 

    短评内容         <span class="short">“为你，千千万万遍。”我想，小说描写了一种最为诚挚的情感，而且它让你相信有些东西依然存在。在这个没有人相信承诺的年代，让人再次看到承诺背后那些美丽复杂的情感。这是一本好看的书，它让你重新思考。</span>

 

 1     <li class="comment-item" data-cid="693413905">
 2             <div class="avatar">
 3                 <a title="福根儿" href="https://www.douban.com/people/fugen/">
 4                     <img src="https://img3.doubanio.com/icon/u3825598-141.jpg">
 5                 </a>
 6             </div>
 7         <div class="comment">
 8             <h3>
 9                 <span class="comment-vote">
10                     <span id="c-693413905" class="vote-count">4756</span>
11                         <a href="javascript:;" id="btn-693413905" class="j a_show_login" data-cid="693413905">有用</a>
12                 </span>
13                 <span class="comment-info">
14                     <a href="https://www.douban.com/people/fugen/">福根儿</a>
15                         <span class="user-stars allstar50 rating" title="力荐"></span>
16                     <span>2013-09-18</span>
17                 </span>
18             </h3>
19             <p class="comment-content">
20             
21                 <span class="short">为你，千千万万遍。</span>
22             </p>
23         </div>
24     </li>