scrapy 爬取小说

QiushuSpider

# -*- coding: utf-8 -*-
import scrapy
import time
from qiushu.items import QiushuItem

class QiushuspiderSpider(scrapy.Spider):
    name = 'QiushuSpider'
    allowed_domains = ['www.qiushu.cc']
    start_urls = ['http://www.qiushu.cc/']

    def parse(self, response):
        '''解析分类列表'''
        # TODO 解析分类
        # 分类URLs
        links = response.xpath('//p[@class="hot_tips"]/a/@href').extract()
        # 所有类型链接
        for i in links:
            url = 'http://www.qiushu.cc' + i
            yield scrapy.Request(url, callback=self.parse_books, dont_filter=True)

    def parse_books(self, response):
        '''解析书籍列表'''
        # TODO： 解析书籍列表
        # time.sleep(2)
        book_url = []
        for i in response.xpath('//*[@id="main"]/div[1]/div/div/ul/li'):
            book_dan_url = ''.join(i.xpath('.//span[@class="t1"]/a/@href').extract_first())
            book_url.append(book_dan_url)
            print('*' * 30, book_dan_url)
        # import ipdb as pdb; pdb.set_trace()
        print('*' * 30, book_url)
        for i in book_url:
            yield scrapy.Request(i, callback=self.parse_section, dont_filter=True)
        # TODO: 处理下一页
        xia_url = ''.join(response.xpath('//*[@class="next"]/@href').extract())
        if bool(xia_url):
            yield scrapy.Request(xia_url, callback=self.parse_books, dont_filter=True)

    def parse_section(self, response):
        '''解析具体的某一章'''
        # TODO: 解析具体的章
        item = QiushuItem()
        # 书名
        item['name'] = ''.join(response.xpath('//div[@class="title"]/h1/text()').extract())
        # 作者
        item['author'] = ''.join(response.xpath('//div[@class="title"]/span/text()').extract())
        # 书籍分类标签
        item['booktype'] = ''.join(response.xpath('//*[@id="main"]/div[2]/text()[2]').extract()).split('>')[1]
        # 书籍状态
        item['state'] = ''.join(response.xpath('//*[@id="main"]/div[2]/span/text()').extract())
        # 书籍的有效地址
        item['showUrl'] = response.url
        # 书籍描述
        item['describe'] = ''.join(response.xpath('//div[@class="intro"]/p/text()').extract())
        yield item

items

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

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

import scrapy


class QiushuItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    # 书名
    name = scrapy.Field()
    # 作者
    author = scrapy.Field()
    # 书籍分类标签
    booktype = scrapy.Field()
    # 书籍状态
    state = scrapy.Field()
    # 书籍的有效地址
    showUrl = scrapy.Field()
    # 书籍描述
    describe = scrapy.Field()

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