scrapy基本框架 basic爬取小说一部

最新推荐文章于 2024-06-09 22:15:24 发布

wtftx

最新推荐文章于 2024-06-09 22:15:24 发布

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分类专栏： scrapy 框架文章标签： scrapy basic

本文链接：https://blog.youkuaiyun.com/wtftx/article/details/89970900

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本文档介绍了在Python 3.7和Scrapy 1.6.0环境下，如何在Windows 10上进行基本的网络爬虫开发。通过实例展示了如何爬取一部小说，包括设置items、pipelines、编写爬虫以及配置settings.py文件，最后验证了异步爬取框架Scrapy的返回结果。

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python 3.70
scrapy 1.60
windows 10.01

爬取一部小说小说网址

设置items

import scrapy

class Novel1Item(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    title = scrapy.Field()
    chapter_name = scrapy.Field()
    content = scrapy.Field()

设置pipelines

import codecs
import json


class Novel1Pipeline(object):

    def __init__(self):
        print('starting')
        self.file = codecs.open('text_novel1.json', 'w', encoding='utf-8')

    def process_item(self, item, spider):
        json_text = json.dumps(dict(item), ensure_ascii=False) + "\n"
        self.file.write(json_text)
        return item

    def close_item(self):
        print('end')
        self.file.close()

编写爬虫

# -*- coding: utf-8 -*-
import scrapy
from novel1.items import Novel1Item

class Novel1Spider(scrapy.Spider):
   name = 'novel_1'
   download_delay = 0.5
   allowed_domains = ['biqukan.com']
   start_urls = ['http://www.biqukan.com/0_790/']

   def parse(self, response):
       dd_list = response.xpath('//div[@class="listmain"]/dl/dt[2]/following-sibling::dd/a')
       title = response.css('h2::text').get()

       for dd in dd_list:
           item = Novel1Item(title=title)
           item['chapter_name'] = dd.xpath('./text()').get(default='No name')
           url = response.urljoin(dd.xpath('./@href').get())
           req = scrapy.Request(url=url, callback=self.parse_content)
           # scrapy.Request返回值是它回调函数的返回值

           # Request中有一个参数是meta
           # 作用是将一个信息（任意的类型）传递给callback回调函数
           # 以字典的形式传递，
           # meta={'key':item}  （下面的request.meta['item']也可以这么写）

           # 这里为了将详情页的内容和主页的内容一起存储，用meta方法对主页的内容
           # 进行了一个暂存，在后面进行统一的提交
           req.meta['item'] = item
           yield req

   def parse_content(self, response):
       item = response.meta['item']
       raw_content = response.css('div.showtxt::text').getall()
       item['content'] = [str(c).replace('\xa0', '').strip() for c in raw_content][:-2]
       yield item

设置文件 settings.py

import random

BOT_NAME = 'novel1'
SPIDER_MODULES = ['novel1.spiders']
NEWSPIDER_MODULE = 'novel1.spiders'

USER_AGENT_LIST = [
    'MSIE (MSIE 6.0; X11; Linux; i686) Opera 7.23',
    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:9.0) Gecko/20100101 Firefox/9.0',
    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.8; rv:16.0) Gecko/20120813 Firefox/16.0',
    'Mozilla/4.77 [en] (X11; I; IRIX;64 6.5 IP30)',
    'Mozilla/4.8 [en] (X11; U; SunOS; 5.7 sun4u)'
]
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = random.choice(USER_AGENT_LIST)
ROBOTSTXT_OBEY = False

ITEM_PIPELINES = {
    'novel1.pipelines.Novel1Pipeline': 300,
}

验证返回结果（scrapy是异步爬取框架，所以乱序）

{"title": "元尊", "chapter_name": "第一章 蟒雀吞龙", "content": ["灯火通明的....## 人为省略"]}
{"title": "元尊", "chapter_name": "第二章 20点准时更新，敬请期待！", "content": ["20点准时更新，敬请期待！"]}
{"title": "元尊", "chapter_name": "第一章 15点准时更新，敬请期待！", "content": ["15点准时更新，敬请期待！"]}