使用Scrapy爬取CSDN博客首页文章

妖狐艹你老母 2022-06-03 06:21 231阅读 0赞

> Scrapy, a fast high-level web crawling & scraping framework for Python

CSDN博客首页如下，包括：**推荐**、**资讯**、**人工智能**等栏目

![这里写图片描述][SouthEast]

每一个栏目下有不同的推荐文章列表，我们使用Scrapy来读取这些栏目的推荐文章列表

![这里写图片描述][SouthEast 1]

定义爬虫如下

class QuotesSpider(scrapy.Spider):
        name = "csdn"
    
        def start_requests(self):
            urls = [
                'http://blog.csdn.net'
            ]
            tag = getattr(self, 'tag', None)
            print("tag is %s" % tag)
    
            for url in urls:
                print("do request on %s" % url)
                yield scrapy.Request(url=url, callback=self.parse)
    
        def parse(self, response):
            # page = response.url.split("/")[-2]
            # filename = 'data/quotes-%s.html' % page
            # with open(filename, 'wb') as f:
            # f.write(response.body)
            # self.log('Saved file %s' % filename)
    
            for ul in response.css(".nav_com ul li"):
                yield {
                    'nav_text': ul.css("a::text").extract_first(),
                    'nav_href': ul.css("a::attr(href)").extract_first(),
                }
                yield response.follow(ul.css("a::attr(href)").extract_first(), callback=self.get_article_list)
    
                # for a in response.css(".list_con"):
                # yield { 
                # 'article_title': a.css("a::text").extract_first(),
                # 'article_href': a.css("a::attr(href)").extract_first()
                # }
    
                # next_page = response.css('.nav_com ul li a::attr(href)')[2].extract()
                # if next_page is not None:
                # print("next_page %s" % next_page)
                # yield response.follow(next_page, callback=self.parse)
    
        @staticmethod
        def get_article_list(response):
            for a in response.css(".list_con"):
                yield {
                    'article_title': a.css("a::text").extract_first(),
                    'article_href': a.css("a::attr(href)").extract_first()
                }

爬取结果如下  
![这里写图片描述][SouthEast 2]

[SouthEast]: /images/20220603/f1638c6f33654476a4bf303cd24cf7c9.png
[SouthEast 1]: /images/20220603/58f8eb5130bc49699c8e631ffb12b4c5.png
[SouthEast 2]: /images/20220603/1a3a400dcea04d4ca7ddea3a16864bce.png