19 03 13 关于 scrapy 框架的 对环球网的整体爬取(存储于 mongodb 数据库里)
关于 spinder 在这个框架里面 和不用数据库 相同
# -*- coding: utf-8 -*-
import scrapy
from yang_guan.items import YangGuanItem
from copy import deepcopy
from scrapy.spiders import CrawlSpider class YgSpider(scrapy.Spider):
name = 'yg'
allowed_domains = ['huanqiu.com']
start_urls = ['http://www.huanqiu.com/',
] def parse (self, response): # 总页面 第一个一定要用parse 用来传递start_urls
item = YangGuanItem()
# item = {} class_news_urls_li = response.xpath(".//div[@class='navCon']/ul/li/a")
print(class_news_urls_li)
for class_news_url in class_news_urls_li:
item["class_tittle"] = class_news_url.xpath("./text()").extract_first()
print(item)
new_url = class_news_url.xpath("./@href").extract_first()
print(new_url)
yield scrapy.Request(
new_url,
callback=self.second_class,
meta={"item": deepcopy(item)}, # 由于是多线程 所以要用深拷贝进入item
) def second_class(self, response): # 二级页面
item = response.meta["item"]
print(response.url) second_urls = response.xpath(".//div/h2/em") for second_url in second_urls: secoond_news_url = second_url.xpath("./a/@href").extract_first() yield scrapy.Request(
secoond_news_url,
callback=self.parse_detail_analyze,
meta={"item": deepcopy(item)}
) def parse_detail_analyze(self, response): # 进入第三成 总细节的抓取 http://china.huanqiu.com/leaders/'
item = response.meta["item"] li_list = response.xpath("//ul[@class='listPicBox']/li") for li in li_list:
# item = YangGuanItem()
item["title"] = li.xpath("./h3/a/text()").extract_first()
item["img_url"] = li.xpath("./a/img/@src").extract_first()
item["detail"] = li.xpath("./h5/text()").extract_first()
yield item next_url = response.xpath(".//div[@class='pageBox']/div/a[last()]/@href").extract_first() # 遇见翻页就要这样写 yield scrapy.Request(next_url, callback=self.parse_detail_analyze,meta={"item":response.meta["item"]})
关于 pipelines 的 管道设定
# -*- coding: utf-8 -*- # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymongo class YangGuanPipeline(object): def __init__(self):
# 建立mongodb 数据库连接
client = pymongo.MongoClient('127.0.0.1', 27017)
# 连接数据库,['scrapy_huan_qiu]
db = client['scrapy_huan_qiu']
# 连接所用的集合
self.post = db['zong_huan_qiu']
print("*"*100) def process_item(self, item, spider):
postItem = dict(item)
self.post.insert(postItem)
return item
setting 的设置
# -*- coding: utf-8 -*- # Scrapy settings for yang_guan project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html # 好像记得是ip代理
PROXIES = [
{'ip_port': '111.11.228.75:80', 'user_pass': ''},
{'ip_port': '120.198.243.22:80', 'user_pass': ''},
{'ip_port': '111.8.60.9:8123', 'user_pass': ''},
{'ip_port': '101.71.27.120:80', 'user_pass': ''},
{'ip_port': '122.96.59.104:80', 'user_pass': ''},
{'ip_port': '122.224.249.122:8088', 'user_pass': ''},] BOT_NAME = 'yang_guan' SPIDER_MODULES = ['yang_guan.spiders']
NEWSPIDER_MODULE = 'yang_guan.spiders' # LOG_LEVEL = "WARNING" # Crawl responsibly by identifying yourself (and your website) on the user-agent
# 计算机型号防止反爬虫
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36' # Obey robots.txt rules
# 不遵守爬虫机器人协议
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://doc.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:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#} # Enable or disable spider middlewares
# See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'yang_guan.middlewares.YangGuanSpiderMiddleware': 543,
#} # Enable or disable downloader middlewares
# See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'yang_guan.middlewares.YangGuanDownloaderMiddleware': 543,
#} # Enable or disable extensions
# See https://doc.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#} # Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html # 开启管道 由于这次没有编写 items 也无法保存进入数据库
ITEM_PIPELINES = {
'yang_guan.pipelines.YangGuanPipeline': 300,
} # 关于 debug等级 和生成log日志
# LOG_FILE = "dg.log"
# LOG_LEVEL = "DEBUG" # Enable and configure the AutoThrottle extension (disabled by default)
# See https://doc.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://doc.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'
关于item 的设置 这个一定要有 用spider 里面的 yield 来进行传递 字典
# -*- 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 YangGuanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
class_tittle = scrapy.Field()
img_url = scrapy.Field()
detail = scrapy.Field()
# -*- 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 YangGuanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
class_tittle = scrapy.Field()
img_url = scrapy.Field()
detail = scrapy.Field()
# -*- 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 YangGuanItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
class_tittle = scrapy.Field()
img_url = scrapy.Field()
detail = scrapy.Field()
19 03 13 关于 scrapy 框架的 对环球网的整体爬取(存储于 mongodb 数据库里)的更多相关文章
- scrapy框架基于CrawlSpider的全站数据爬取
引入 提问:如果想要通过爬虫程序去爬取”糗百“全站数据新闻数据的话,有几种实现方法? 方法一:基于Scrapy框架中的Spider的递归爬取进行实现(Request模块递归回调parse方法). 方法 ...
- 爬虫入门之Scrapy框架基础框架结构及腾讯爬取(十)
Scrapy终端是一个交互终端,我们可以在未启动spider的情况下尝试及调试代码,也可以用来测试XPath或CSS表达式,查看他们的工作方式,方便我们爬取的网页中提取的数据. 如果安装了 IPyth ...
- Scrapy实战篇(五)之爬取历史天气数据
本篇文章我们以抓取历史天气数据为例,简单说明数据抓取的两种方式: 1.一般简单或者较小量的数据需求,我们以requests(selenum)+beautiful的方式抓取数据 2.当我们需要的数据量较 ...
- Scrapy实战篇(八)之爬取教育部高校名单抓取和分析
本节我们以网址https://daxue.eol.cn/mingdan.shtml为初始链接,爬取教育部公布的正规高校名单. 思路: 1.首先以上面的地址开始链接,抓取到下面省份对应的链接. 2.在解 ...
- 13,scrapy框架的日志等级和请求传参
今日概要 日志等级 请求传参 如何提高scrapy的爬取效率 一.Scrapy的日志等级 - 在使用scrapy crawl spiderFileName运行程序时,在终端里打印输出的就是scrapy ...
- scrapy爬虫笔记(三)------写入源文件的爬取
开始爬取网页:(2)写入源文件的爬取 为了使代码易于修改,更清晰高效的爬取网页,我们将代码写入源文件进行爬取. 主要分为以下几个步骤: 一.使用scrapy创建爬虫框架: 二.修改并编写源代码,确定我 ...
- Scrapy实战篇(七)之爬取爱基金网站基金业绩数据
本篇我们以scrapy+selelum的方式来爬取爱基金网站(http://fund.10jqka.com.cn/datacenter/jz/)的基金业绩数据. 思路:我们以http://fund.1 ...
- Scrapy实战篇(六)之爬取360图片数据和图片
本篇文章我们以360图片为例,介绍scrapy框架的使用以及图片数据的下载. 目标网站:http://images.so.com/z?ch=photography 思路:分析目标网站为ajax加载方式 ...
- Scrapy实战篇(三)之爬取豆瓣电影短评
今天的主要内容是爬取豆瓣电影短评,看一下网友是怎么评价最近的电影的,方便我们以后的分析,以以下三部电影:二十二,战狼,三生三世十里桃花为例. 由于豆瓣短评网页比较简单,且不存在动态加载的内容,我们下面 ...
随机推荐
- ubuntu 解压命令全览
.tar解包:tar xvf FileName.tar打包:tar cvf FileName.tar DirName(注:tar是打包,不是压缩!)-------------------------- ...
- Java日期时间API系列11-----Jdk8中java.time包中的新的日期时间API类,使用java8日期时间API重写农历LunarDate
通过Java日期时间API系列7-----Jdk8中java.time包中的新的日期时间API类的优点,java8具有很多优点,现在网上查到的农历转换工具类都是基于jdk7及以前的类写的,下面使用ja ...
- 133、Java获取main主函数参数
01.代码如下: package TIANPAN; /** * 此处为文档注释 * * @author 田攀 微信382477247 */ public class TestDemo { public ...
- jmeter学习笔记一foreach控制器
ForEach控制器 输入变量前缀:上一步所提取的变量名的前缀,例如appid_1, 则appid就是前缀 start index for loop:循环的起始位置,默认为空也可 end index ...
- 浅谈脱壳中的附加数据问题(overlay)
Author:Lenus -------------------------------------------------- 1.前言 最近,在论坛上看到很多人在弄附加数据overlay的问题,加上 ...
- 吴裕雄--天生自然JAVAIO操作学习笔记:单人信息管理程序
import java.io.* ; public class ExecDemo03{ public static void main(String args[]) throws Exception{ ...
- 第1节 storm编程:4、storm环境安装以及storm编程模型介绍
dataSource:数据源,生产数据的东西 spout:接收数据源过来的数据,然后将数据往下游发送 bolt:数据的处理逻辑单元.可以有很多个,基本上每个bolt都处理一部分工作,然后将数据继续往下 ...
- 如何在cmd中连接数据库
数据库连接时遇到的问题 : https://www.cnblogs.com/xyzdw/archive/2011/08/11/2135227.htmlping +ip地址: 查看本机ip:ipconf ...
- redis有序集合-zset
概念:它是在set的基础上增加了一个顺序属性,这一属性在添加修改元素的时候可以指定,每次指定后,zset会自动按新的值调整顺序.可以理解为有两列的mysql表,一列存储value,一列存储顺序,操作中 ...
- php 实现店铺装修4
/** * @title 发布装修的店铺 * @example FlagShipShopDecorate.fabu? 调试参数:{"username":"17721355 ...