讲解Python的Scrapy爬虫框架使用代理进行采集的方法

yipeiwu_com5年前Python爬虫

1.在Scrapy工程下新建“middlewares.py”

# Importing base64 library because we'll need it ONLY in case if the proxy we are going to use requires authentication
import base64

# Start your middleware class
class ProxyMiddleware(object):
 # overwrite process request
 def process_request(self, request, spider):
  # Set the location of the proxy
  request.meta['proxy'] = "http://YOUR_PROXY_IP:PORT"

  # Use the following lines if your proxy requires authentication
  proxy_user_pass = "USERNAME:PASSWORD"
  # setup basic authentication for the proxy
  encoded_user_pass = base64.encodestring(proxy_user_pass)
  request.headers['Proxy-Authorization'] = 'Basic ' + encoded_user_pass

2.在项目配置文件里(./project_name/settings.py)添加

DOWNLOADER_MIDDLEWARES = {
 'scrapy.contrib.downloadermiddleware.httpproxy.HttpProxyMiddleware': 110,
 'project_name.middlewares.ProxyMiddleware': 100,
}

只要两步,现在请求就是通过代理的了。测试一下^_^

from scrapy.spider import BaseSpider
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.http import Request

class TestSpider(CrawlSpider):
 name = "test"
 domain_name = "whatismyip.com"
 # The following url is subject to change, you can get the last updated one from here :
 # http://www.whatismyip.com/faq/automation.asp
 start_urls = ["http://xujian.info"]

 def parse(self, response):
  open('test.html', 'wb').write(response.body)

3.使用随机user-agent

默认情况下scrapy采集时只能使用一种user-agent,这样容易被网站屏蔽,下面的代码可以从预先定义的user- agent的列表中随机选择一个来采集不同的页面

在settings.py中添加以下代码

DOWNLOADER_MIDDLEWARES = {
  'scrapy.contrib.downloadermiddleware.useragent.UserAgentMiddleware' : None,
  'Crawler.comm.rotate_useragent.RotateUserAgentMiddleware' :400
 }

注意: Crawler; 是你项目的名字 ,通过它是一个目录的名称 下面是蜘蛛的代码

#!/usr/bin/python
#-*-coding:utf-8-*-

import random
from scrapy.contrib.downloadermiddleware.useragent import UserAgentMiddleware

class RotateUserAgentMiddleware(UserAgentMiddleware):
 def __init__(self, user_agent=''):
  self.user_agent = user_agent

 def process_request(self, request, spider):
  #这句话用于随机选择user-agent
  ua = random.choice(self.user_agent_list)
  if ua:
   request.headers.setdefault('User-Agent', ua)

 #the default user_agent_list composes chrome,I E,firefox,Mozilla,opera,netscape
 #for more user agent strings,you can find it in http://www.useragentstring.com/pages/useragentstring.php
 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/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",\
  "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/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",\
  "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"
  ]

相关文章

关于反爬虫的一些简单总结

关于反爬虫的一些简单总结

爬虫与反爬虫,这相爱相杀的一对,简直可以写出一部壮观的斗争史。而在大数据时代,数据就是金钱,很多企业都为自己的网站运用了反爬虫机制,防止网页上的数据被爬虫爬走。然而,如果反爬机制过于严格...

Python爬虫获取整个站点中的所有外部链接代码示例

Python爬虫获取整个站点中的所有外部链接代码示例

收集所有外部链接的网站爬虫程序流程图 下例是爬取本站python绘制条形图方法代码详解的实例,大家可以参考下。 完整代码: #! /usr/bin/env python #codi...

Python实现多线程抓取网页功能实例详解

本文实例讲述了Python实现多线程抓取网页功能。分享给大家供大家参考,具体如下: 最近,一直在做网络爬虫相关的东西。 看了一下开源C++写的larbin爬虫,仔细阅读了里面的设计思想和...

Python爬虫实例_利用百度地图API批量获取城市所有的POI点

Python爬虫实例_利用百度地图API批量获取城市所有的POI点

上篇关于爬虫的文章,我们讲解了如何运用Python的requests及BeautifuiSoup模块来完成静态网页的爬取,总结过程,网页爬虫本质就两步: 1、设置请求参数(url,hea...

python爬虫之快速对js内容进行破解

python爬虫之快速对js内容进行破解

前言 一般js破解有两种方法,一种是用Python重写js逻辑,一种是利用第三方库来调用js内容获取结果。这两种方法各有利弊,第一种方法性能好,但对js和Python要求掌握比较高;第二...