[scrapy]实例:爬取jobbole页面

工程概览:

创建工程

scrapy startproject  ArticleSpider　　

创建spider

cd /ArticleSpider/spiders/
新建jobbole.py


# -*- coding: utf-8 -*-
import scrapy
from scrapy.http import Request
from urllib import parse
import re

from ArticleSpider.items import ArticlespiderItem


class JpbboleSpider(scrapy.Spider):
    name = 'jobbole'
    allowed_domains = ['blog.jobbole.com']
    start_urls = ['http://blog.jobbole.com/all-posts/']  #先下载http://blog.jobbole.com/all-posts/这个页面,然后传给parse解析

    def parse(self, response):

        #1.start_urls下载页面http://blog.jobbole.com/all-posts/,然后交给parse解析,parse里的post_urls获取这个页面的每个文章的url,Request下载每个文章的页面,然后callback=parse_detail,交给parse_detao解析
        #2.等post_urls这个循环执行完,说明这一个的每个文章都已经解析完了, 就执行next_url,next_url获取下一页的url,然后Request下载,callback=self.parse解析,parse从头开始,先post_urls获取第二页的每个文章的url,然后循环每个文章的url,交给parse_detail解析

        #获取http://blog.jobbole.com/all-posts/中所有的文章url,并交给Request去下载,然后callback=parse_detail,交给parse_detail解析
        post_urls = response.css("#archive  .floated-thumb .post-thumb a::attr(href)").extract()
        for post_url in post_urls:
            yield Request(url=parse.urljoin(response.url,post_url),callback=self.parse_detail)

        #获取下一页的url地址,交给Request下载,然后交给parse解析
        next_url = response.css(".next.page-numbers::attr(href)").extract_first("")
        if next_url:
            yield Request(url=next_url,callback=self.parse)

    def parse_detail(self,response):
        title=response.css('.entry-header h1::text').extract()[0]
        create_date= response.css("p.entry-meta-hide-on-mobile::text").extract()[0]
        praise_unms = response.css(".vote-post-up h10::text").extract()[0]
        fav_nums = response.css(".bookmark-btn::text").extract()[0]
        match_re = re.match(".*?(d+).*",fav_nums)
        if match_re:
            fav_nums = int(match_re.group(1))
        else:
            fav_nums = 0
        comment_nums = response.css("a[href='#article-comment'] span::text").extract()[0]
        match_re = re.match(".*?(d+).*",comment_nums)
        if match_re:
            comment_nums = int(match_re.group(1))
        else:
            comment_nums = 0
        item = ArticlespiderItem()  #实例化item
        item['name'] = title        #item里的name字段的内容就是这里的title
        yield item                  #执行item

        print(title,create_date,praise_unms,fav_nums,comment_nums)　　

items.py

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class ArticlespiderItem(scrapy.Item):
    # define the fields for your item here like:
    name = scrapy.Field()

    

piplines.py

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html


# class ArticlespiderPipeline(object):
#     def process_item(self, item, spider):
#         return item


class ArticlespiderPipeline(object):
    def process_item(self, item, spider):
        with open("my_meiju.txt", 'a') as fp:
            fp.write(item['name'] + '
')