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。
发现是在div 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<h1>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(//div[@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("//div[@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("div.entry").extract()[0] tags = response.css("p.entry-meta-hide-on-mobile a::text").extract()[0] pass
以上所述是小编给大家介绍的CSS选择器实现字段解析,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对脚本之家网站的支持!