芯片价格涨价，如何及时查询库存
由于疫情影响，导致物流、原料、人工等成本大幅增加，部分芯片原厂停产、减产，导致芯片出厂价上调。另外一部分芯片经销商人为囤货或故意抬高价格导致芯片价格****一路上涨。如果可以及时跟踪各芯片厂家的官网或交易平台，实时关注库存情况及时下单，可以减少中间环节，降低采购成本。通过爬虫代理实现多并发、低延迟的网络请求，及时分析海量商品动态，可以满足芯片业务要求，示例如下：
#! -*- encoding:utf-8 -*- import urllib2 import random import httplib class HTTPSConnection(httplib.HTTPSConnection): def set_tunnel(self, host, port=None, headers=None): httplib.HTTPSConnection.set_tunnel(self, host, port, headers) if hasattr(self, 'proxy_tunnel'): self._tunnel_headers['Proxy-Tunnel'] = self.proxy_tunnel class HTTPSHandler(urllib2.HTTPSHandler): def https_open(self, req): return urllib2.HTTPSHandler.do_open(self, HTTPSConnection, req, context=self._context) # 要访问的目标页面 targetUrlList = [ "https://www.ti.com", "https://www.1688.com/", ] # 代理服务器(产品官网 www.16yun.cn) proxyHost = "t.16yun.cn" proxyPort = "31111" # 代理验证信息 proxyUser = "username" proxyPass = "password" proxyMeta = "http://%(user)s:%(pass)s@%(host)s:%(port)s" % { "host": proxyHost, "port": proxyPort, "user": proxyUser, "pass": proxyPass, } # 设置 http和https访问都是用HTTP代理 proxies = { "http": proxyMeta, "https": proxyMeta, } # 设置IP切换头 tunnel = random.randint(1, 10000) headers = {"Proxy-Tunnel": str(tunnel)} HTTPSConnection.proxy_tunnel = tunnel proxy = urllib2.ProxyHandler(proxies) opener = urllib2.build_opener(proxy, HTTPSHandler) urllib2.install_opener(opener) # 访问三次网站，使用相同的tunnel标志，均能够保持相同的外网IP for i in range(3): for url in targetUrlList: r = urllib2.Request(url) print(urllib2.urlopen(r).read())
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