一、功能说明:
1. 多线程方式抓取代理服务器,并多线程验证代理服务器
ps 代理服务器是从http://www.cnproxy.com/ (测试只选择了8个页面)抓取
2. 抓取一个网站的图片地址,多线程随机取一个代理服务器下载图片
二、实现代码
#!/usr/bin/env python
#coding:utf-8
import urllib2
import re
import threading
import time
import random
rawProxyList = []
checkedProxyList = []
imgurl_list = []
#抓取代理网站
portdicts ={'v':"3",'m':"4",'a':"2",'l':"9",'q':"0",'b':"5",'i':"7",'w':"6",'r':"8",'c':"1"}
targets = []
for i in xrange(1,9):
target = r"http://www.cnproxy.com/proxy%d.html" % i
targets.append(target)
#print targets
#抓取代理服务器正则
p = re.compile(r'''
#获取代理的类
class ProxyGet(threading.Thread):
def __init__(self,target):
threading.Thread.__init__(self)
self.target = target
def getProxy(self):
print "代理服务器目标网站: " + self.target
req = urllib2.urlopen(self.target)
result = req.read()
#print chardet.detect(result)
matchs = p.findall(result)
for row in matchs:
ip=row[0]
port =row[1]
port = map(lambda x:portdicts[x],port.split('+'))
port = ''.join(port)
agent = row[2]
addr = row[3].decode("cp936").encode("utf-8")
proxy = [ip,port,addr]
#print proxy
rawProxyList.append(proxy)
def run(self):
self.getProxy()
#检验代理的类
class ProxyCheck(threading.Thread):
def __init__(self,proxyList):
threading.Thread.__init__(self)
self.proxyList = proxyList
self.timeout = 5
self.testUrl = "http://www.baidu.com/"
self.testStr = "030173"
def checkProxy(self):
cookies = urllib2.HTTPCookieProcessor()
for proxy in self.proxyList:
proxyHandler = urllib2.ProxyHandler({"http" : r'http://%s:%s' %(proxy[0],proxy[1])})
#print r'http://%s:%s' %(proxy[0],proxy[1])
opener = urllib2.build_opener(cookies,proxyHandler)
opener.addheaders = [('User-agent', 'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:22.0) Gecko/20100101 Firefox/22.0')]
#urllib2.install_opener(opener)
t1 = time.time()
try:
#req = urllib2.urlopen("http://www.baidu.com", timeout=self.timeout)
req = opener.open(self.testUrl, timeout=self.timeout)
#print "urlopen is ok...."
result = req.read()
#print "read html...."
timeused = time.time() - t1
pos = result.find(self.testStr)
#print "pos is %s" %pos
if pos > 1:
checkedProxyList.append((proxy[0],proxy[1],proxy[2],timeused))
#print "ok ip: %s %s %s %s" %(proxy[0],proxy[1],proxy[2],timeused)
else:
continue
except Exception,e:
#print e.message
continue
def run(self):
self.checkProxy()
#获取图片地址函数
def imgurlList(url_home):
global imgurl_list
home_page = urllib2.urlopen(url_home)
url_re = re.compile(r'
pic_re = re.compile(r'

for url in url_list:
#print url_home+url
url_page = urllib2.urlopen(url_home+url)
for imgurlList in re.findall(pic_re,url_page.read()):
imgurl_list.append(imgurlList)
#下载图片的类
class getPic(threading.Thread):
def __init__(self,imgurl_list):
threading.Thread.__init__(self)
self.imgurl_list = imgurl_list
self.timeout = 5
def downloadimg(self):
for imgurl in self.imgurl_list:
pic_suffix = imgurl.split('.')[-1] #获取图片后缀
pic_name = str(random.randint(0,10000000000))+'.'+pic_suffix
cookies = urllib2.HTTPCookieProcessor()
randomCheckedProxy = random.choice(checkedProxyList) #随机取一组代理服务器
proxyHandler = urllib2.ProxyHandler({"http" : r'http://%s:%s' %(randomCheckedProxy[0],randomCheckedProxy[1])})
opener = urllib2.build_opener(cookies,proxyHandler)
opener.addheaders = [('User-agent', 'Mozilla/5.0 (Windows NT 6.2; WOW64; rv:22.0) Gecko/20100101 Firefox/22.0')]
urllib2.install_opener(opener)
try:
data_img = opener.open(imgurl,timeout=self.timeout)
f = open (pic_name,'wb')
f.write(data_img.read())
f.close()
except:
continue
def run(self):
self.downloadimg()
if __name__ == "__main__":
getThreads = []
checkThreads = []
imgurlList('http://www.ivsky.com')
getPicThreads = []
#对每个目标网站开启一个线程负责抓取代理
for i in range(len(targets)):
t = ProxyGet(targets[i])
getThreads.append(t)
for i in range(len(getThreads)):
getThreads[i].start()
for i in range(len(getThreads)):
getThreads[i].join()
print '.'*10+"总共抓取了%s个代理" %len(rawProxyList) +'.'*10
#开启20个线程负责校验,将抓取到的代理分成20份,每个线程校验一份
for i in range(20):
t = ProxyCheck(rawProxyList[((len(rawProxyList)+19)/20) * i:((len(rawProxyList)+19)/20) * (i+1)])
checkThreads.append(t)
for i in range(len(checkThreads)):
checkThreads[i].start()
for i in range(len(checkThreads)):
checkThreads[i].join()
print '.'*10+"总共有%s个代理通过校验" %len(checkedProxyList) +'.'*10
#开启20个线程随机取一个代理下载图片
for i in range(20):
t = getPic(imgurl_list[((len(imgurl_list)+19)/20) * i:((len(imgurl_list)+19)/20) * (i+1)])
getPicThreads.append(t)
for i in range(len(getPicThreads)):
getPicThreads[i].start()
for i in range(len(getPicThreads)):
getPicThreads[i].join()
print '.'*10+"总共有%s个图片下载" %len(imgurl_list) +'.'*10
#代理排序持久化
f= open("proxy_list.txt",'w+')
for proxy in sorted(checkedProxyList,cmp=lambda x,y:cmp(x[3],y[3])):
#print "checked proxy is: %s:%s\t%s\t%s" %(proxy[0],proxy[1],proxy[2],proxy[3])
f.write("%s:%s\t%s\t%s\n"%(proxy[0],proxy[1],proxy[2],proxy[3]))
f.close()
二、测试结果:
# ls
proxy_getpic.py
# python proxy_getpic.py
代理服务器目标网站: http://www.cnproxy.com/proxy1.html
代理服务器目标网站: http://www.cnproxy.com/proxy2.html
代理服务器目标网站: http://www.cnproxy.com/proxy3.html
代理服务器目标网站: http://www.cnproxy.com/proxy4.html
代理服务器目标网站: http://www.cnproxy.com/proxy5.html
代理服务器目标网站: http://www.cnproxy.com/proxy6.html
代理服务器目标网站: http://www.cnproxy.com/proxy7.html
代理服务器目标网站: http://www.cnproxy.com/proxy8.html
..........总共抓取了800个代理..........
..........总共有458个代理通过校验..........
..........总共有154个图片下载..........
# cat proxy_list.txt | more
173.213.113.111:3128 United States 0.432188987732
173.213.113.111:8089 United States 0.441318035126
173.213.113.111:7808 United States 0.444597005844
110.4.24.170:80 香港 香港移动通讯有限公司 0.489440202713
211.142.236.135:8080 湖南省株洲市 移动 0.490673780441
211.142.236.135:8081 湖南省株洲市 移动 0.518096923828
211.142.236.135:8000 湖南省株洲市 移动 0.51860499382
211.142.236.135:8082 湖南省株洲市 移动 0.520448207855
# ls
1001117689.jpg 3097883176.jpg 5234319709.jpg 7012274766.jpg 8504924248.jpg
1076458640.jpg 3144369522.jpg 5387877704.jpg 7106183143.jpg 867723868.jpg
1198548712.jpg 3161307031.jpg 5572092752.jpg 7361254661.jpg 8746315373.jpg
165738192.jpg 3228008315.jpg 5575388077.jpg 7389537793.jpg 8848973192.jpg
1704512138.jpg 3306931164.jpg 5610740708.jpg 7407358698.jpg 8973834958.jpg
1742167711.jpg 3320152673.jpg 5717429022.jpg 7561176207.jpg 8976862152.jpg
...............

numpyArraysareAreBetterFornumericalialoperations andmulti-demensionaldata,而learthearrayModuleSutableforbasic,內存效率段

numpyArraySareAreBetterForHeAvyNumericalComputing,而lelethearRayModulesiutable-usemoblemory-connerage-inderabledsswithSimpleDatateTypes.1)NumpyArsofferVerverVerverVerverVersAtility andPerformanceForlargedForlargedAtatasetSetsAtsAndAtasEndCompleXoper.2)

ctypesallowscreatingingangandmanipulatingc-stylarraysinpython.1)usectypestoInterfacewithClibrariesForperfermance.2)createc-stylec-stylec-stylarraysfornumericalcomputations.3)passarraystocfunctions foreforfunctionsforeffortions.however.however,However,HoweverofiousofmemoryManageManiverage,Pressiveo,Pressivero

Inpython,一個“列表” isaversatile,mutableSequencethatCanholdMixedDatateTypes,而“陣列” isamorememory-sepersequeSequeSequeSequeSequeRingequiringElements.1)列表

pythonlistsandArraysareBothable.1)列表Sareflexibleandsupportereceneousdatabutarelessmory-Memory-Empefficity.2)ArraysareMoremoremoremoreMemoremorememorememorememoremorememogeneSdatabutlesserversEversementime,defteringcorcttypecrecttypececeDepeceDyusagetoagetoavoavoiDerrors。

Python和C 各有優勢,選擇應基於項目需求。 1)Python適合快速開發和數據處理,因其簡潔語法和動態類型。 2)C 適用於高性能和系統編程,因其靜態類型和手動內存管理。

選擇Python還是C 取決於項目需求:1)如果需要快速開發、數據處理和原型設計,選擇Python;2)如果需要高性能、低延遲和接近硬件的控制,選擇C 。

通過每天投入2小時的Python學習,可以有效提升編程技能。 1.學習新知識:閱讀文檔或觀看教程。 2.實踐:編寫代碼和完成練習。 3.複習:鞏固所學內容。 4.項目實踐:應用所學於實際項目中。這樣的結構化學習計劃能幫助你係統掌握Python並實現職業目標。


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

Video Face Swap
使用我們完全免費的人工智慧換臉工具,輕鬆在任何影片中換臉!

熱門文章

熱工具

EditPlus 中文破解版
體積小,語法高亮,不支援程式碼提示功能

記事本++7.3.1
好用且免費的程式碼編輯器

SublimeText3漢化版
中文版,非常好用

Dreamweaver Mac版
視覺化網頁開發工具

MinGW - Minimalist GNU for Windows
這個專案正在遷移到osdn.net/projects/mingw的過程中,你可以繼續在那裡關注我們。 MinGW:GNU編譯器集合(GCC)的本機Windows移植版本,可自由分發的導入函式庫和用於建置本機Windows應用程式的頭檔;包括對MSVC執行時間的擴展,以支援C99功能。 MinGW的所有軟體都可以在64位元Windows平台上運作。