python scrapy爬取全部豆瓣电影（可能是54万数据）

待我称王封你为后i 2021-09-15 21:14 377阅读 0赞

###### （一）爬取环境 ######

*  win10
 *  python3
 *  scrapy

###### （二）豆瓣电影参考标准 ######

主要参考来自神箭手的云市场

[https://www.shenjianshou.cn/index.php?r=market/product&product\_id=500090][https_www.shenjianshou.cn_index.php_r_market_product_product_id_500090]

![image.png][]

###### （三）爬取步骤 ######

全部电影地址：[https://movie.douban.com/tag/\#/][https_movie.douban.com_tag]  
![image.png][image.png 1]

![image.png][image.png 2]  
![image.png][image.png 3]  
![image.png][image.png 4]

主要爬取的字段有：标题，得分，封面url，简介，全部评论

采用scrapy、ip代理池、ua次进行内容爬取

# -*- coding: utf-8 -*-
    # @Time : 2018/7/22 14:45
    # @Author : 蛇崽
    # @Email : 643435675@QQ.com
    # @File : doubanmoviespider.py(豆瓣电影)
    import json
    
    import scrapy
    from bs4 import BeautifulSoup
    
    
    class DouBanSpider(scrapy.Spider):
        name = 'adouban_spider'
        start_urls = ['https://movie.douban.com/tag/#/']
        allowed_domains = ['movie.douban.com']
    
        def parse(self,response):
            for count in range(0,27002,20):
                fir_url = 'https://movie.douban.com/j/new_search_subjects?sort=T&range=0,10&tags=&start={}'.format(count)
                yield scrapy.Request(
                    fir_url,
                    callback=self.parse_main
                )
    
        def parse_main(self,response):
            infos = json.loads(response.body.decode('utf-8'))
            '名称 封面图片 简介 评分 短评top100'
            print(infos)
            datas = infos['data']
            for data in datas:
                title = data['title'] # 名称
                cover = data['cover'] # 封面图片
                rate = data['rate']   # 评分
                url = data['url'] # 详情url
                id = str(data['id'])
                if url:
                    print(title,cover,rate,url)
                    yield scrapy.Request(url,callback=self.parse_detail,meta={
       'id':id})
    
        def parse_detail(self,response):
            strid = response.meta['id']
            base_url = 'https://movie.douban.com/subject/{}/comments?'.format(strid)
            # 全部评论的链接
            b_url = 'https://movie.douban.com/subject/{}/comments?status=P'.format(strid)
            # 前一百条评论
            n_url = 'https://movie.douban.com/subject/4920528/comments?start=0&limit=20&sort=new_score&status=P'
            for page in range(0,100,20):
                n_url = base_url+'start={}&limit=20&sort=new_score&status=P'.format(page)
                print('n_url################# ',n_url)
                if n_url:
                    yield scrapy.Request(b_url,callback=self.parse_comment)
    
    
    
            soup = BeautifulSoup(response.body, 'lxml')
            # 简介(先隐藏后不隐藏的)
            try:
                abstract = soup.find('span', class_='all hidden').get_text()
            except:
                abstract = soup.find('span',attrs={
       'property':'v:summary'}).get_text()
                pass
            # print('abstract -------- ',abstract)
    
        def parse_comment(self,response):
            soup = BeautifulSoup(response.body,'lxml')
            shorts = soup.find_all('span',class_='short')
            for short in shorts:
                print('short ============= ',short.get_text())

个人微信：hll643435675（备注：博客）

更多资源请访问：  
[https://blog.csdn.net/xudailong\_blog/article/details/78762262][https_blog.csdn.net_xudailong_blog_article_details_78762262]

欢迎光临我的小网站：[http://www.00reso.com][http_www.00reso.com]

陆续优化中，后续会开发更多更好玩的有趣的小工具

[https_www.shenjianshou.cn_index.php_r_market_product_product_id_500090]: https://www.shenjianshou.cn/index.php?r=market/product&product_id=500090
[image.png]: /images/20210529/59be393c9c52426a858c1ba76f0576e1.png
[https_movie.douban.com_tag]: https://movie.douban.com/tag/#/
[image.png 1]: /images/20210529/2b88e07dcbf44c208817ccaf75ff8af7.png
[image.png 2]: /images/20210529/fc4cde3128a04f8984f0910841350b8f.png
[image.png 3]: /images/20210529/6b54142cb393458db48dc607cfc84987.png
[image.png 4]: /images/20210529/9f4191c4b2bf41f6ad845f1aae8c9cdc.png
[https_blog.csdn.net_xudailong_blog_article_details_78762262]: https://blog.csdn.net/xudailong_blog/article/details/78762262
[http_www.00reso.com]: http://www.00reso.com