defparse(self, response):print(response.request)print(response.request.headers['User-Agent']) 使用fake-useragent 模块随机生成 User-Agent 上面的user-agent是在配置文件中预先设定好的,我们也可以使用python模块 fake-useragent 生成user-agent 安装: pip install fake-useragent 简单使用: fromfake_useragentimpor...
(1)首先实现random_useragent.py #!/usr/bin/python# -*-coding:utf-8-*-"""Scrapy Middleware to set a random User-Agent for every Request.Downloader Middleware which uses a file containing a list ofuser-agents and sets a random one for each request."""importrandomfromscrapyimportsignalsfromsc...
What it does is, if the selectedFAKE_USERAGENT_RANDOM_UA_TYPEfails to retrieve a UA, it will use the type set inFAKEUSERAGENT_FALLBACK. Configuring faker Parameter:FAKER_RANDOM_UA_TYPEdefaulting touser_agentwhich is the way of selecting totally random User-Agents values. Other options, as ex...
location = "fake_useragent_" + fake_useragent.VERSION #本地文件路径 ua = fake_useragent.UserAgent(use_cache_server=False, path=location) #禁用缓存,使用本地文件 request.headers['User-Agent'] = ua.random #随便从本地文件中取出一个user-agent 把fake-useragent的Json文件下载到本地,放到项目目录中。
1#middlewares中间件重写,记得开启该中间件2fromscrapyimportsignals3importrandom4fromxbhog.settingsimportUSER_AGENTS_LIST56classUserAgentMiddleware(object):78defprocess_request(self,request,spider):9#设置随机请求头10ua =random.choice(USER_AGENTS_LIST)11#设置初始URL中的UA12request.headers['User-...
1#middlewares中间件重写,记得开启该中间件2fromscrapyimportsignals3importrandom4fromxbhog.settingsimportUSER_AGENTS_LIST56classUserAgentMiddleware(object):78defprocess_request(self,request,spider):9#设置随机请求头10ua =random.choice(USER_AGENTS_LIST)11#设置初始URL中的UA12request.headers['User-...
2.中间件的优先级不够,导致请求过后才更改User-Agent 方法一 : fromfake_useragentimportUserAgent# 随机的User-AgentclassRandomUserAgent(object):defprocess_request(self,request,spider):useragent=random.choice(USER_AGENTS)request.headers.setdefault("User-Agent",useragent) ...
File metadata and controls Code Blame 13 lines (13 loc) · 179 Bytes Raw 1 2 3 4 5 6 7 8 9 10 11 12 13 scrapyd logparser pandas sqlalchemy psycopg2-binary scrapy-rotating-proxies scrapy-useragents scrapy-user-agents scrapy-fake-useragent html5lib BeautifulSoup4 dateparser ironarmsFooter...
deffrom_crawler(cls,crawler):returncls(crawler.settings.getlist('USER_AGENTS'))defprocess_request(self,request,spider):# print"***"+random.choice(self.agents)request.headers.setdefault('User-Agent',random.choice(self.agents))classProxyMiddleware(object):defprocess_request(self,request,spider):...
可以看到,scrapy单机模式,通过一个scrapy引擎通过一个调度器,将Requests队列中的request请求发给下载器,进行页面的爬取。 那么多台主机协作的关键是共享一个爬取队列。 所以,单主机的爬虫架构如下图所示: 前文提到,分布式爬虫的关键是共享一个requests队列,维护该队列的主机称为master,而从机则负责数据的抓取,数据处理...