工作了，需要抓取一些特定的资源进行分析。没有高速海量数据那么大的需求。所以想到用python直接写一个简单的爬虫，之后再编写模板进行定向解析，就解决问题了。毕竟我们的时间要求和数量级要求不是很高。
在网上搜索了一些python编写爬虫的文档，下载下来试试，看看效果。虽然我的这篇文章标明是原创，但是文章中也有一部分是参考了别人的信息，请谅解。因为我是想参考别人的精华，组合重构，来实现我需要的系统。
Test.py
# -*- coding: utf-8 -*-
import WebCrawler
url = raw_input('设置入口url(例-->): \n')
thNumber = int(raw_input('设置线程数:')) #之前类型未转换出bug
Maxdepth = int(raw_input('最大搜索深度：'))
wc = WebCrawler.WebCrawler(thNumber, Maxdepth)
wc.Craw(url)
WebCrawler.py
# -*- coding: utf-8 -*-
import threading
import GetUrl
import urllib
g_mutex = threading.Lock()
g_pages = [] #线程下载页面后，将页面内容添加到这个list中
g_dledUrl = [] #所有下载过的url
g_toDlUrl = [] #当前要下载的url
g_failedUrl = [] #下载失败的url
g_totalcount = 0 #下载过的页面数
class WebCrawler:
def __init__(self,threadNumber,Maxdepth):
self.threadNumber = threadNumber
self.threadPool = []
self.Maxdepth = Maxdepth
self.logfile = file('#log.txt','w') ##
def download(self, url, fileName):
Cth = CrawlerThread(url, fileName)
self.threadPool.append(Cth)
Cth.start()
def downloadAll(self):
global g_toDlUrl
global g_totalcount
i = 0
while i < len(g_toDlUrl):
j = 0
while j < self.threadNumber and i + j < len(g_toDlUrl):
g_totalcount += 1 #进入循环则下载页面数加1
self.download(g_toDlUrl[i+j],str(g_totalcount)+'.htm')
print 'Thread started:',i+j,'--File number = ',g_totalcount
j += 1
i += j
for th in self.threadPool:
th.join(30) #等待线程结束，30秒超时
self.threadPool = [] #清空线程池
g_toDlUrl = [] #清空列表
def updateToDl(self):
global g_toDlUrl
global g_dledUrl
newUrlList = []
for s in g_pages:
newUrlList += GetUrl.GetUrl(s) #######GetUrl要具体实现
g_toDlUrl = list(set(newUrlList) - set(g_dledUrl)) #提示unhashable
def Craw(self,entryUrl): #这是一个深度搜索，到g_toDlUrl为空时结束
g_toDlUrl.append(entryUrl)
self.logfile.write('>>>Entry:\n') ##
self.logfile.write(entryUrl) ##
depth = 0
while len(g_toDlUrl) != 0 and depth <= self.Maxdepth:
depth += 1
print 'Searching depth ',depth,'...\n\n'
self.downloadAll()
self.updateToDl()
content = '\n>>>Depth ' + str(depth)+':\n' ##
self.logfile.write(content) ##
i = 0 ##
while i < len(g_toDlUrl): ##
content = str(g_totalcount + i + 1) + '->' + g_toDlUrl[i] + '\n'# ##
self.logfile.write(content) ##
i += 1 ##
class CrawlerThread(threading.Thread):
def __init__(self, url, fileName):
threading.Thread.__init__(self)
self.url = url #本线程下载的url
self.fileName = fileName
def run(self): #线程工作-->下载html页面
global g_mutex
global g_failedUrl
global g_dledUrl
try:
f = urllib.urlopen(self.url)
s = f.read()
fout = file(self.fileName, 'w')
fout.write(s)
fout.close()
except:
g_mutex.acquire() #线程锁-->锁上
g_dledUrl.append(self.url)
g_failedUrl.append(self.url)
g_mutex.release() #线程锁-->释放
print 'Failed downloading and saving',self.url
return None #记着返回!
g_mutex.acquire() #线程锁-->锁上
g_pages.append(s)
g_dledUrl.append(self.url)
g_mutex.release() #线程锁-->释放
GetUrl.py
# -*- coding: cp936 -*-
urlSep = ['','//','(',')', r'"', r"'", ' ', '\t', '\n']
urlTag = ['http://']
def is_sep(ch):
for c in urlSep:
if c == ch:
return True
return False
def find_first_sep(i,s):
while i < len(s):
if is_sep(s[i]):
return i
i+=1
return len(s)
def GetUrl(strPage):
rtList = []
for tag in urlTag:
i = 0
i = strPage.find(tag, i, len(strPage))
while i != -1:
begin = i
end = find_first_sep(begin+len(tag),strPage)
rtList.append(strPage[begin:end])
i = strPage.find(tag, end, len(strPage))
return rtList
