圆月山庄资源网 Design By www.vgjia.com

涉及到详情页爬取

目录结构:

python scrapy爬虫代码及填坑

kaoshi_bqg.py

import scrapy
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
from ..items import BookBQGItem
class KaoshiBqgSpider(scrapy.Spider):
 name = 'kaoshi_bqg'
 allowed_domains = ['biquge5200.cc']
 start_urls = ['https://www.biquge5200.cc/xuanhuanxiaoshuo/']
 rules = (
  # 编写匹配文章列表的规则
  Rule(LinkExtractor(allow=r'https://www.biquge5200.cc/xuanhuanxiaoshuo/'), follow=True),
  # 匹配文章详情
  Rule(LinkExtractor(allow=r'.+/[0-9]{1-3}_[0-9]{2-6}/'), callback='parse_item', follow=False),
 )
 # 小书书名
 def parse(self, response):
  a_list = response.xpath('//*[@id="newscontent"]/div[1]/ul//li//span[1]/a')
  for li in a_list:
   name = li.xpath(".//text()").get()
   detail_url = li.xpath(".//@href").get()
   yield scrapy.Request(url=detail_url, callback=self.parse_book, meta={'info': name})
 # 单本书所有的章节名
 def parse_book(self, response):
  name = response.meta.get('info')
  list_a = response.xpath('//*[@id="list"]/dl/dd[position()>20]//a')
  for li in list_a:
   chapter = li.xpath(".//text()").get()
   url = li.xpath(".//@href").get()
   yield scrapy.Request(url=url, callback=self.parse_content, meta={'info': (name, chapter)})
 # 每章节内容
 def parse_content(self, response):
  name, chapter = response.meta.get('info')
  content = response.xpath('//*[@id="content"]//p/text()').getall()
  item = BookBQGItem(name=name, chapter=chapter, content=content)
  yield item

xmly.py

# -*- coding: utf-8 -*-
import scrapy
from ..items import BookXMLYItem, BookChapterItem
class XmlySpider(scrapy.Spider):
 name = 'xmly'
 allowed_domains = ['ximalaya.com']
 start_urls = ['https://www.ximalaya.com/youshengshu/wenxue/']

 def parse(self, response):
  div_details = response.xpath('//*[@id="root"]/main/section/div/div/div[3]/div[1]/div/div[2]/ul/li/div')
  # details = div_details[::3]
  for details in div_details:
   book_id = details.xpath('./div/a/@href').get().split('/')[-2]
   book_name = details.xpath('./a[1]/@title').get()
   book_author = details.xpath('./a[2]/text()').get() # 作者
   book_url = details.xpath('./div/a/@href').get()
   url = 'https://www.ximalaya.com' + book_url
   # print(book_id, book_name, book_author, url)
   item = BookXMLYItem(book_id=book_id, book_name=book_name, book_author=book_author, book_url=url)
   yield item
   yield scrapy.Request(url=url, callback=self.parse_details, meta={'info': book_id})

 def parse_details(self, response):
  book_id = response.meta.get('info')
  div_details = response.xpath('//*[@id="anchor_sound_list"]/div[2]/ul/li/div[2]')
  for details in div_details:
   chapter_id = details.xpath('./a/@href').get().split('/')[-1]
   chapter_name = details.xpath('./a/text()').get()
   chapter_url = details.xpath('./a/@href').get()
   url = 'https://www.ximalaya.com' + chapter_url
   item = BookChapterItem(book_id=book_id, chapter_id=chapter_id, chapter_name=chapter_name, chapter_url=url)
   yield item

item.py

import scrapy
# 笔趣阁字段
class BookBQGItem(scrapy.Item):
 name = scrapy.Field()
 chapter = scrapy.Field()
 content = scrapy.Field()
# 喜马拉雅 字段
class BookXMLYItem(scrapy.Item):
 book_name = scrapy.Field()
 book_id = scrapy.Field()
 book_url = scrapy.Field()
 book_author = scrapy.Field()
# 喜马拉雅详情字段
class BookChapterItem(scrapy.Item):
 book_id = scrapy.Field()
 chapter_id = scrapy.Field()
 chapter_name = scrapy.Field()
 chapter_url = scrapy.Field()

pipelines.py

from scrapy.exporters import JsonLinesItemExporter
import os
class BqgPipeline(object):
 def process_item(self, item, spider):
  xs = '小说集'
  name = item['name']
  xs_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), xs)
  fiction_path = os.path.join(xs_path, name)
  # print(os.path.dirname(__file__)) D:/Users/Administrator/PycharmProjects/wh1901/biquge.com
  # print(os.path.dirname(os.path.dirname(__file__))) D:/Users/Administrator/PycharmProjects/wh1901
  if not os.path.exists(xs_path): # 如果目录不存在
   os.mkdir(xs_path)
  if not os.path.exists(fiction_path):
   os.mkdir(fiction_path) # 创建目录
  chapter = item['chapter']
  content = item['content']
  file_path = os.path.join(fiction_path, chapter) + '.txt' # 在 该目录下面创建 xx .txt 文件
  with open(file_path, 'w', encoding='utf-8') as fp:
   fp.write(content + '\n')
   print('保存成功')

# class XmlyPipeline(object):
#  def __init__(self):
#   self.fp = open("xmly.json", 'wb')
#   # JsonLinesItemExporter 调度器
#   self.exporter = JsonLinesItemExporter(self.fp, ensure_ascii=False)
#
#  def process_item(self, item, spider):
#   self.exporter.export_item(item)
#   return item
#
#  def close_item(self):
#   self.fp.close()
#   print("爬虫结束")

starts.py

from scrapy import cmdline
cmdline.execute("scrapy crawl kaoshi_bqg".split())
# cmdline.execute("scrapy crawl xmly".split())

然后是爬取到的数据

小说

python scrapy爬虫代码及填坑

xmly.json

python scrapy爬虫代码及填坑

记录一下爬取过程中遇到的一点点问题:

在爬取详情页的的时候, 刚开始不知道怎么获取详情页的 url 以及 上一个页面拿到的字段

python scrapy爬虫代码及填坑

  • 也就是 yield 返回 请求详情页 里面的参数没有很好地理解
  • meta:从其他请求传过来的meta属性,可以用来保持多个请求之间的数据连接。
  • url:这个request对象发送请求的url。
  • callback:在下载器下载完相应的数据后执行的回调函数。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。

标签:
python,scrapy,爬虫

圆月山庄资源网 Design By www.vgjia.com
广告合作:本站广告合作请联系QQ:858582 申请时备注:广告合作(否则不回)
免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件! 如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
圆月山庄资源网 Design By www.vgjia.com

稳了!魔兽国服回归的3条重磅消息!官宣时间再确认!

昨天有一位朋友在大神群里分享,自己亚服账号被封号之后居然弹出了国服的封号信息对话框。

这里面让他访问的是一个国服的战网网址,com.cn和后面的zh都非常明白地表明这就是国服战网。

而他在复制这个网址并且进行登录之后,确实是网易的网址,也就是我们熟悉的停服之后国服发布的暴雪游戏产品运营到期开放退款的说明。这是一件比较奇怪的事情,因为以前都没有出现这样的情况,现在突然提示跳转到国服战网的网址,是不是说明了简体中文客户端已经开始进行更新了呢?