爬取知名社区技术文章_article_3
Posted 北门吹雪
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爬虫主逻辑处理,获取字段,获取主url和子url
#!/usr/bin/python3 # -*- coding: utf-8 -*- import scrapy from scrapy.http import Request from urllib import parse from JobBole.items import JobboleItem, ArticleItemLoader class ExampleSpider(scrapy.Spider): name = ‘jobbole‘ # allowed_domains = [‘example.com‘] # 起始url start_urls = [‘http://blog.jobbole.com/all-posts/‘] def parse(self, response): # 获取主页面所以有效详情页面url,图片url,下一页url home_all_node = response.css(‘.post.floated-thumb .post-thumb a‘) # 获取节点,循环出每个单张图片和单个url交个下载器和子url处理 for home_node in home_all_node: img_url = home_node.css(‘img::attr(src)‘).extract_first(‘‘) cont_url = home_node.css(‘::attr(href)‘).extract_first(‘‘) # yield 提供异步方法,parser 进行域名拼接,meta进行传值 yield Request(url=parse.urljoin(response.url, cont_url), meta={‘img_url‘: img_url}, callback=self.analysie_go) # 提取下一页并下载 next_page_url = response.css(‘.next.page-numbers::attr(href)‘).extract_first(‘‘) if next_page_url: yield Request(url=parse.urljoin(response.url, next_page_url), callback=self.parse) def analysie_go(self, response): # 解析详情页面获取所需其他字段的值 img_url = response.meta.get(‘img_url‘, ‘0‘) load_item = ArticleItemLoader(item=JobboleItem(), response=response) load_item.add_value(‘img_url‘, img_url) load_item.add_value(‘cont_url‘, response.url) load_item.add_value(‘cont_id‘, response.url) load_item.add_css(‘title‘, ‘.entry-header h1::text‘) load_item.add_css(‘publish_time‘, ‘.entry-meta-hide-on-mobile::text‘) load_item.add_xpath(‘cont‘, ‘//div[@class="entry"]//text()‘) load_item.add_css(‘link_num‘, ‘.vote-post-up h10::text‘) load_item.add_css(‘collection_num‘, ‘.bookmark-btn::text‘) load_item.add_css(‘comment_num‘, ‘.post-adds a span::text‘) article_items = load_item.load_item() # 把获取的字段交给items yield article_items
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