python爬取豆瓣小组讨论

要使用Python爬取豆瓣小组讨论，可以使用scrapy框架和相关的代码。一个实际的Python项目可以通过爬取豆瓣小组的讨论列表并保存相关信息到MongoDB数据库，同时下载图片到本地来学习如何使用scrapy爬取网络上的信息。

下面是一个示例代码，可以爬取豆瓣租房小组的1000条讨论列表，并筛选出包含特定关键词的条目。假设将以下代码保存在spider.py文件中：

import scrapy

class DiscussionSpider(scrapy.Spider):
    name = 'discussion_spider'
    
    def __init__(self, username, password, start, limit, *args, **kwargs):
        super(DiscussionSpider, self).__init__(*args, **kwargs)
        self.username = username
        self.password = password
        self.start = start
        self.limit = limit
    
    def start_requests(self):
        # 登录豆瓣
        login_url = 'https://accounts.douban.com/login'
        yield scrapy.FormRequest(
            login_url,
            formdata={'username': self.username, 'password': self.password},
            callback=self.parse_discussion_list
        )
    
    def parse_discussion_list(self, response):
        # 在这里解析讨论列表页面，并筛选含有关键词的条目
        discussion_list = response.xpath('//div[@class="discussion-item"]')
        for discussion in discussion_list:
            title = discussion.xpath('.//h3/text()').get()
            content = discussion.xpath('.//p/text()').get()
            keyword = '关键词' # 替换成你要筛选的关键词
            if keyword in content:
                yield {
                    'title': title,
                    'content': content
                }
    
    def parse(self, response):
        pass

# 运行爬虫
if __name__ == "__main__":
    import sys
    from scrapy.crawler import CrawlerProcess
    
    username = sys.argv<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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