scrapy利用selenium爬取豆瓣阅读的全步骤


Posted in Python onSeptember 20, 2020

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

scrapy利用selenium爬取豆瓣阅读的全步骤

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

item.py文件代码

项目的目标文件

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

import scrapy


class DoubanReadItem(scrapy.Item):
 # define the fields for your item here like:
 book_id = scrapy.Field()
 book_url = scrapy.Field()
 book_title = scrapy.Field()
 book_author = scrapy.Field()
 book_cover_image = scrapy.Field()
 book_abstract = scrapy.Field()
 book_wordCount = scrapy.Field()
 book_kinds = scrapy.Field()

my_download_middle.py文件代码

所有request都会经过下载中间件,可以通过定制中间件,来完成设置代理,动态设置请求头,自定义下载等操作

import random
import time
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from scrapy.http.response.html import HtmlResponse


class MymiddleWares(object):
 def __init__(self):
 # 请求头列表
 self.USER_AGENT_LIST = [
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
  "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
  "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
  "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
  "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
  "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
  "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)",
  "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
  "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
  "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
  "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
 ]

 def process_request(self, request, spider):
 '''
 下载中间件处理requests的方法
 :param request:马上要被下载器下载request
 :param spider:
 :return:
 '''
 # 在spider中设置了meta的request_type的值为ajax meta参数会贯穿整个scrapy
 request_type = request.meta.get('request_type')
 # 如果不是ajax请求就需要通过selenium来自定义下载request
 if not request_type:
  print('in middler')
  # 1、创建driver
  driver = webdriver.Chrome()
  # 2、请求url
  driver.get(request.url)
  # 3、等待
  # driver.implicitly_wait(20)
  time.sleep(3)
  # 4、获取页面内容
  html_str = driver.page_source
  # 直接返回HtmlResponse给spider解析 下载器就不会下载这个request 达到自定义下载的目的
  return HtmlResponse(url=request.url, body=html_str, request=request, encoding='utf-8')

 else:
  # 如果是ajax请求就需要通过scrapy下载器来下载request
  # ajax请求直接返回json数据不适合上面的selenium下载
  ua = random.choice(self.USER_AGENT_LIST)
  # 设置请求头
  if ua:
  request.headers.setdefault('User-Agent', ua)
  request.headers.setdefault('X-Requested-With', 'XMLHttpRequest')

pipeline.py文件代码

项目的管道文件

import pymongo
from itemadapter import ItemAdapter


class MongoPipeline:
 # 存储集合名字
 collection_name = 'book'

 def __init__(self, mongo_uri, mongo_db):
 self.mongo_uri = mongo_uri
 self.mongo_db = mongo_db

 @classmethod
 def from_crawler(cls, crawler):
 return cls(
  mongo_uri=crawler.settings.get('MONGO_URI'),
  mongo_db=crawler.settings.get('MONGO_DATABASE', 'items')
 )

 def open_spider(self, spider):
 '''
 当spider启动的时候调用
 :param spider:
 :return:
 '''
 self.client = pymongo.MongoClient(self.mongo_uri)
 self.db = self.client[self.mongo_db]

 def close_spider(self, spider):
 self.client.close()

 # 保存到mongo的douban_read数据库下的book集合中
 def process_item(self, item, spider):
 self.db[self.collection_name].update({'book_id': item['book_id']}, {'$set': dict(item)}, True)
 # True:有则修改 无则新增
 print(item)
 return item

settings.py文件代码

配置信息

# Scrapy settings for douban_read project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'douban_read'

SPIDER_MODULES = ['douban_read.spiders']
NEWSPIDER_MODULE = 'douban_read.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'douban_read (+http://www.yourdomain.com)'

# Obey robots.txt rules
# robot协议
ROBOTSTXT_OBEY = False

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
#COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
# 默认请求头
DEFAULT_REQUEST_HEADERS = {
 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
 'Accept-Language': 'en',
 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36',

}

# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'douban_read.middlewares.DoubanReadSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# 配置下载器中间件
DOWNLOADER_MIDDLEWARES = {
 'douban_read.my_download_middle.MymiddleWares': 543,
}

# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# 配置ITEM_PIPELINES
ITEM_PIPELINES = {
 'douban_read.pipelines.MongoPipeline': 300,
}

# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

# 配置mongo
MONGO_URI = 'localhost'
# 创建数据库:douban_read
MONGO_DATABASE = 'douban_read'

最后启动该项目即可

scrapy crawl douban_spider

数据就保存到mongo数据库了

scrapy利用selenium爬取豆瓣阅读的全步骤

总结

到此这篇关于scrapy利用selenium爬取豆瓣阅读的文章就介绍到这了,更多相关scrapy用selenium爬取豆瓣阅读内容请搜索三水点靠木以前的文章或继续浏览下面的相关文章希望大家以后多多支持三水点靠木!

Python 相关文章推荐
调试Python程序代码的几种方法总结
Apr 28 Python
python处理csv数据动态显示曲线实例代码
Jan 23 Python
Python寻找两个有序数组的中位数实例详解
Dec 05 Python
python配置文件写入过程详解
Oct 19 Python
pytorch的梯度计算以及backward方法详解
Jan 10 Python
Python创建空列表的字典2种方法详解
Feb 13 Python
Python如何使用bokeh包和geojson数据绘制地图
Mar 21 Python
django 扩展user用户字段inlines方式
Mar 30 Python
python使用pymongo与MongoDB基本交互操作示例
Apr 09 Python
python按顺序重命名文件并分类转移到各个文件夹中的实现代码
Jul 21 Python
pandas求平均数和中位数的方法实例
Aug 04 Python
python实现学员管理系统(面向对象版)
Jun 05 Python
Python操作dict时避免出现KeyError的几种解决方法
Sep 20 #Python
python中random.randint和random.randrange的区别详解
Sep 20 #Python
详解如何在pyqt中通过OpenCV实现对窗口的透视变换
Sep 20 #Python
Python Pillow(PIL)库的用法详解
Sep 19 #Python
Python自动化xpath实现自动抢票抢货
Sep 19 #Python
python 贪心算法的实现
Sep 18 #Python
详解KMP算法以及python如何实现
Sep 18 #Python
You might like
php设计模式之委托模式
2016/02/13 PHP
javascript中强制执行toString()具体实现
2013/04/27 Javascript
js面向对象之公有、私有、静态属性和方法详解
2015/04/17 Javascript
Jquery日期选择datepicker插件用法实例分析
2015/06/08 Javascript
js获取字符串字节数方法小结
2015/06/09 Javascript
jQuery实现购物车表单自动结算效果实例
2015/08/10 Javascript
JavaScript实现横线提示输入验证码随输入验证码输入消失的方法
2016/09/24 Javascript
Vue.js表单控件实践
2016/10/27 Javascript
Angular路由简单学习
2016/12/26 Javascript
微信小程序 开发之快递查询功能的实现
2017/01/09 Javascript
JavaScript计时器用法分析【setTimeout和clearTimeout】
2017/01/18 Javascript
JS实现页面打印(整体、局部)
2017/08/18 Javascript
js使用generator函数同步执行ajax任务
2017/09/05 Javascript
jQuery实现所有验证通过方可提交的表单验证
2017/11/21 jQuery
详解iframe跨域的几种常用方法(小结)
2019/04/29 Javascript
vue中 this.$set的用法详解
2019/09/06 Javascript
JavaScript onclick事件使用方法详解
2020/05/15 Javascript
如何在JavaScript中使用localStorage详情
2021/02/04 Javascript
用vite搭建vue3应用的实现方法
2021/02/22 Vue.js
Python for Informatics 第11章 正则表达式(一)
2016/04/21 Python
python机器学习之随机森林(七)
2018/03/26 Python
python高阶爬虫实战分析
2018/07/29 Python
python安装pywin32clipboard的操作方法
2019/01/24 Python
python解压zip包中文乱码解决方法
2020/11/27 Python
解决Python import .pyd 可能遇到路径的问题
2021/03/04 Python
基于DOM+CSS3实现OrgChart组织结构图插件
2016/03/02 HTML / CSS
护士实习鉴定范文
2013/12/22 职场文书
参观接待方案
2014/03/17 职场文书
村道德模范事迹材料
2014/08/28 职场文书
公司离职证明范本
2014/10/17 职场文书
优秀护士事迹材料
2014/12/25 职场文书
学风建设主题班会
2015/08/17 职场文书
各类场合主持词开场白范文集锦
2019/08/16 职场文书
浅谈css实现背景颜色半透明的两种方法
2021/12/06 HTML / CSS
Elasticsearch 索引操作和增删改查
2022/04/19 Python
vue本地构建热更新卡顿的问题“75 advanced module optimization”完美解决方案
2022/08/05 Vue.js