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 

总结

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。