芯片價格漲價，如何及時查詢庫存
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由于疫情影響，導(dǎo)致物流、原料、人工等成本大幅增加，部分芯片原廠停產(chǎn)、減產(chǎn)，導(dǎo)致芯片出廠價上調(diào)。另外一部分芯片經(jīng)銷商人為囤貨或故意抬高價格導(dǎo)致芯片價格****一路上漲。如果可以及時跟蹤各芯片廠家的官網(wǎng)或交易平臺，實時關(guān)注庫存情況及時下單，可以減少中間環(huán)節(jié)，降低采購成本。通過爬蟲代理實現(xiàn)多并發(fā)、低延遲的網(wǎng)絡(luò)請求，及時分析海量商品動態(tài)，可以滿足芯片業(yè)務(wù)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)
# 要訪問的目標(biāo)頁面
targetUrlList = [
"https://www.ti.com",
"https://www.1688.com/",
]
# 代理服務(wù)器(產(chǎn)品官網(wǎng) www.16yun.cn)
proxyHost = "t.16yun.cn"
proxyPort = "31111"
# 代理驗證信息
proxyUser = "username"
proxyPass = "password"
proxyMeta = "http://%(user)s:%(pass)s@%(host)s:%(port)s" % {
"host": proxyHost,
"port": proxyPort,
"user": proxyUser,
"pass": proxyPass,
}
# 設(shè)置 http和https訪問都是用HTTP代理
proxies = {
"http": proxyMeta,
"https": proxyMeta,
}
# 設(shè)置IP切換頭
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)
# 訪問三次網(wǎng)站，使用相同的tunnel標(biāo)志，均能夠保持相同的外網(wǎng)IP
for i in range(3):
for url in targetUrlList:
r = urllib2.Request(url)
print(urllib2.urlopen(r).read())
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