根据上面所学的css基础语法知识，现在来实现字段的解析。首先还是解析标题。打开网页开发者工具，找到标题所对应的源代码。本文主要介绍了css选择器实现字段解析的相关资料,需要的朋友可以参考下，希望能帮助到大家
发现是在p class=entry-header下面的h1节点中，于是打开scrapy shell 进行调试
但是我不想要4a249f0d628e2318394fd9b75b4636b1这种标签该咋办，这时候就要使用css选择器中的伪类方法。如下所示。
注意的是两个冒号。使用css选择器真的很方便。同理我用css实现字段解析。代码如下
# -*- coding: utf-8 -*- import scrapy import re class jobbolespider(scrapy.spider): name = 'jobbole' allowed_domains = ['blog.jobbole.com'] start_urls = ['http://blog.jobbole.com/113549/'] def parse(self, response): # title = response.xpath('//p[@class = "entry-header"]/h1/text()').extract()[0] # create_date = response.xpath("//p[@class = 'entry-meta-hide-on-mobile']/text()").extract()[0].strip().replace("·","").strip() # praise_numbers = response.xpath("//span[contains(@class,'vote-post-up')]/h10/text()").extract()[0] # fav_nums = response.xpath("//span[contains(@class,'bookmark-btn')]/text()").extract()[0] # match_re = re.match(".*?(\d+).*",fav_nums) # if match_re: # fav_nums = match_re.group(1) # comment_nums = response.xpath("//a[@href='#article-comment']/span").extract()[0] # match_re = re.match(".*?(\d+).*", comment_nums) # if match_re: # comment_nums = match_re.group(1) # content = response.xpath("//p[@class='entry']").extract()[0] #通过css选择器提取字段 title = response.css(".entry-header h1::text").extract()[0] create_date = response.css(".entry-meta-hide-on-mobile::text").extract()[0].strip().replace("·","").strip() praise_numbers = response.css(".vote-post-up h10::text").extract()[0] fav_nums = response.css("span.bookmark-btn::text").extract()[0] match_re = re.match(".*?(\d+).*", fav_nums) if match_re: fav_nums = match_re.group(1) comment_nums = response.css("a[href='#article-comment'] span::text").extract()[0] match_re = re.match(".*?(\d+).*", comment_nums) if match_re: comment_nums = match_re.group(1) content = response.css("p.entry").extract()[0] tags = response.css("p.entry-meta-hide-on-mobile a::text").extract()[0] pass
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以上就是css选择器字段解析的实现方法的详细内容。