scrapy利用selenium实现爬取豆瓣阅读的方法教程？针对这个问题，这篇文章详细介绍了相对应的分析和解答，希望可以帮助更多想解决这个问题的小伙伴找到更简单易行的方法。

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首先创建scrapy项目

命令：scrapy startproject douban_read

创建spider

命令：scrapy genspider douban_spider url

网址：https://read.douban.com/charts

关键注释代码中有，若有不足，请多指教

scrapy项目目录结构如下

douban_spider.py文件代码

爬虫文件

import scrapy
import re, json

from ..items import DoubanReadItem


class DoubanSpiderSpider(scrapy.Spider):
 name = 'douban_spider'
 # allowed_domains = ['www']
 start_urls = ['https://read.douban.com/charts']

 def parse(self, response):
 # print(response.text)
 # 获取图书分类的url
 type_urls = response.xpath('//div[@class="rankings-nav"]/a[position()>1]/@href').extract()
 # print(type_urls)
 for type_url in type_urls:
  # /charts?type=unfinished_column&index=featured&dcs=charts&dcm=charts-nav
  part_param = re.search(r'charts\?(.*?)&dcs', type_url).group(1)
  # https://read.douban.com/j/index//charts?type=intermediate_finalized&index=science_fiction&verbose=1
  ajax_url = 'https://read.douban.com/j/index//charts?{}&verbose=1'.format(part_param)
  yield scrapy.Request(ajax_url, callback=self.parse_ajax, encoding='utf-8', meta={'request_type': 'ajax'})

 def parse_ajax(self, response):

 # print(response.text)
 # 获取分类中图书的json数据
 json_data = json.loads(response.text)
 for data in json_data['list']:
  item = DoubanReadItem()
  item['book_id'] = data['works']['id']
  item['book_url'] = data['works']['url']
  item['book_title'] = data['works']['title']
  item['book_author'] = data['works']['author']
  item['book_cover_image'] = data['works']['cover']
  item['book_abstract'] = data['works']['abstract']
  item['book_wordCount'] = data['works']['wordCount']
  item['book_kinds'] = data['works']['kinds']
  # 把item yield给Itempipeline
  yield item

文章名称：scrapy利用selenium实现爬取豆瓣阅读的方法教程-创新互联
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