python之scrapy模块scrapy-redis使用
1、redis的使用,自己可以多学习下,个人也是在学习
https://www.cnblogs.com/ywjfx/p/10262662.html
官网可以自己搜索下。
2、下载安装scrapy-redis
pip install scrapy-redis
3、下载好了,就可以使用了,使用也很简单,只需要在settings.py配置文件添加一下四个
#######redis配置#######
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
SCHEDULER = "scrapy_redis.scheduler.Scheduler"
SCHEDULER_PERSIST = True
REDIS_URL = "redis://127.0.0.1:6379"
#######redis配置#######
如:settings.py
# -*- coding: utf-8 -*- # Scrapy settings for circ project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html BOT_NAME = 'circ' SPIDER_MODULES = ['circ.spiders']
NEWSPIDER_MODULE = 'circ.spiders' LOG_LEVEL = "WARNING"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36' # Obey robots.txt rules
ROBOTSTXT_OBEY = True #######redis配置#######
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
SCHEDULER = "scrapy_redis.scheduler.Scheduler"
SCHEDULER_PERSIST = True
REDIS_URL = "redis://127.0.0.1:6379"
#######redis配置#######
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.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 http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'circ.middlewares.CircSpiderMiddleware': 543,
#} # Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'circ.middlewares.RandomUserAgentMiddleware': 543,
# 'circ.middlewares.CheckUserAgent': 544,
#} # Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#} # Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
# 'circ.pipelines.CircPipeline': 300,
#} # Enable and configure the AutoThrottle extension (disabled by default)
# See http://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 http://scrapy.readthedocs.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' USER_AGENTS_LIST = [ "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)", "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)", "Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)", "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6", "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0", "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5" ]
4、其他的可以不用管了,直接开始scrapy爬虫就可以了
# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
import re class CfSpider(CrawlSpider):
name = 'cf'
allowed_domains = ['bxjg.circ.gov.cn']
start_urls = ['http://bxjg.circ.gov.cn/web/site0/tab5240/module14430/page1.htm'] #定义提取url地址规则
rules = (
#LinkExtractor 连接提取器,提取url地址
#callback 提取出来的url地址的response会交给callback处理
#follow 当前url地址的响应是够重新进过rules来提取url地址,
Rule(LinkExtractor(allow=r'/web/site0/tab5240/info\d+\.htm'), callback='parse_item'),
Rule(LinkExtractor(allow=r'/web/site0/tab5240/module14430/page\d+\.htm'),follow=True),
) #parse函数有特殊功能,不能定义
def parse_item(self, response):
item = {}
item["title"] = re.findall("<!--TitleStart-->(.*?)<!--TitleEnd-->",response.body.decode())[0]
item["publish_date"] = re.findall("发布时间:(20\d{2}-\d{2}-\d{2})",response.body.decode())[0]
#print(item)
yield item
# yield scrapy.Request(
# url,
# callback=self.parse_detail,
# meta = {"item":item}
# )
#
# def parse_detail(self,response):
# item = response.meta["item"]
# item["price"] = "///"
# yield item
5、登陆redis,通过命令查看
keys * type "cf:dupefilter" SMEMBERS "cf:dupefilter"
出现数据,说明成功了

python之scrapy模块scrapy-redis使用的更多相关文章
- Python模块Scrapy导入出错:ImportError: cannot import name xmlrpc_client
Mac(OS version: OS X Yosemite 10.10.5)上安装Scrapy模块,使用时出现: from six.moves import xmlrpc_client as xmlr ...
- 爬虫scrapy模块
首先下载scrapy模块 这里有惊喜 https://www.cnblogs.com/bobo-zhang/p/10068997.html 创建一个scrapy文件 首先在终端找到一个文件夹 输入 s ...
- Python之定向爬虫Scrapy
1.Scrapy介绍 Scrapy,Python开发的一个快速,高层次的屏幕抓取和web抓取框架,用于抓取web站点并从页面中提取结构化的数据.Scrapy用途广泛,可以用于数据挖掘.监测和自动化测试 ...
- python爬虫入门(六) Scrapy框架之原理介绍
Scrapy框架 Scrapy简介 Scrapy是用纯Python实现一个为了爬取网站数据.提取结构性数据而编写的应用框架,用途非常广泛. 框架的力量,用户只需要定制开发几个模块就可以轻松的实现一个爬 ...
- python爬虫scrapy之scrapy终端(Scrapy shell)
Scrapy终端是一个交互终端,供您在未启动spider的情况下尝试及调试您的爬取代码. 其本意是用来测试提取数据的代码,不过您可以将其作为正常的Python终端,在上面测试任何的Python代码. ...
- 第三百二十四节,web爬虫,scrapy模块介绍与使用
第三百二十四节,web爬虫,scrapy模块介绍与使用 Scrapy是一个为了爬取网站数据,提取结构性数据而编写的应用框架. 其可以应用在数据挖掘,信息处理或存储历史数据等一系列的程序中.其最初是为了 ...
- 第三百二十三节,web爬虫,scrapy模块以及相关依赖模块安装
第三百二十三节,web爬虫,scrapy模块以及相关依赖模块安装 当前环境python3.5 ,windows10系统 Linux系统安装 在线安装,会自动安装scrapy模块以及相关依赖模块 pip ...
- 二 web爬虫,scrapy模块以及相关依赖模块安装
当前环境python3.5 ,windows10系统 Linux系统安装 在线安装,会自动安装scrapy模块以及相关依赖模块 pip install Scrapy 手动源码安装,比较麻烦要自己手动安 ...
- scrapy模块之分页处理,post请求,cookies处理,请求传参
一.scrapy分页处理 1.分页处理 如上篇博客,初步使用了scrapy框架了,但是只能爬取一页,或者手动的把要爬取的网址手动添加到start_url中,太麻烦接下来介绍该如何去处理分页,手动发起分 ...
随机推荐
- idou老师教你学istio1:如何为服务提供安全防护能力
之前,已为大家介绍过 Istio 第一主打功能---连接服务. 凡是产生连接关系,就必定带来安全问题,人类社会如此,服务网格世界,亦是如此. 今天,我们就来谈谈Istio第二主打功能---保护服务. ...
- 图像处理---《在图片上打印文字 FreeType库》
图像处理---<在图片上打印文字 FreeType库> 目的:想在处理之后的图像上打印输出结果.方法: (1)只在图像上打印 数字.字母的话: 1.Mat格式 ...
- Python 基础知识 (1) 持续更新
(1)数字和表达式 当进入Python交互式的时候,Python就可以直接当成计算机使用 如 >>> 2 + 2 4 但是 当 1个整数 和 另外一个整数 相除的时候,计算的结果,只 ...
- Navicat Premium 12 安装 与 激活
官方简体中文下载网址:https://www.navicat.com.cn/download/navicat-premium 安装的过程....(都是中文)所以略过. 开始破解....( ...... ...
- Codeforces Round #509 (Div. 2) F. Ray in the tube(思维)
题目链接:http://codeforces.com/contest/1041/problem/F 题意:给出一根无限长的管子,在二维坐标上表示为y1 <= y <= y2,其中 y1 上 ...
- ibatis查询列表跟总记录,都引用相同SQL
在查询记录集合跟查询记录总记录数的时候,我们需要所写的SQL要一样,那么可以都引用同一个SQL.写法如下: <sqlMap namespace="Server"> &l ...
- python计算余弦复杂度
import numpy as np from sklearn.metrics.pairwise import cosine_similarity a = np.array([1, 2, 3, 4]) ...
- AfxMessageBox与MessageBox用法与区别
https://blog.csdn.net/holybin/article/details/28403109 MessageBox()是标准的Win32 API函数,可以直接使用: AfxMessag ...
- PHP mysqli_real_connect() 函数
定义和用法mysqli_real_connect() 函数打开一个到 MySQL 服务器的新连接. mysqli_real_connect() 函数与 mysqli_connect() 函数在以下几个 ...
- Django从Models 10分钟建立一套RestfulApi
目录 Django从Models 10分钟建立一套RestfulApi Django从Models 10分钟定制一个Admin后台 简介 Django是一套完善而强大的web开发框架, 结合Djang ...