1)urllib2+BeautifulSoup抓取Goolge搜索链接
近期,参与的项目需要对Google搜索结果进行处理,之前学习了Python处理网页相关的工具。实际应用中,使用了urllib2和beautifulsoup来进行网页的抓取,但是在抓取google搜索结果的时候,发现如果是直接对google搜索结果页面的源代码进行处理,会得到很多“脏”链接。
看下图为搜索“titanic james”的结果:
这种“脏链接”当然可以通过规则过滤的方法来过滤掉,但是这样程序的复杂度就高了。正当自己愁眉苦脸的正在写过滤规则时。同学提醒说google应该提供相关的api,才恍然大明白。
(2)Google Web Search API+多线程
文档中给出使用Python进行搜索的例子:
# @param Python多线程抓取Google搜索链接网页
# @author 编程之家 jb51.cc|www.512Pic.com
import simplejson
# The request also includes the userip parameter which provides the end
# user's IP address. Doing so will help distinguish this legitimate
# server-side traffic from traffic which doesn't come from an end-user.
url = ('https://ajax.googleapis.com/ajax/services/search/web'
'?v=1.0&q=Paris%20Hilton&userip=USERS-IP-ADDRESS')
request = urllib2.Request(
url,None,{'Referer': /* Enter the URL of your site here */})
response = urllib2.urlopen(request)
# Process the JSON string.
results = simplejson.load(response)
# now have some fun with the results...
import simplejson
# The request also includes the userip parameter which provides the end
# user's IP address. Doing so will help distinguish this legitimate
# server-side traffic from traffic which doesn't come from an end-user.
url = ('https://ajax.googleapis.com/ajax/services/search/web'
'?v=1.0&q=Paris%20Hilton&userip=USERS-IP-ADDRESS')
request = urllib2.Request(
url,{'Referer': /* Enter the URL of your site here */})
response = urllib2.urlopen(request)
# Process the JSON string.
results = simplejson.load(response)
# now have some fun with the results..
# End www.jb51.cc
实际应用中可能需要抓取google的很多网页,所以还需要使用多线程来分担抓取任务。使用google web search api的参考详细介绍,请看此处(这里介绍了Standard URL Arguments)。另外要特别注意,url中参数rsz必须是8(包括8)以下的值,若大于8,会报错的!
(3)代码实现
代码实现还存在问题,但是能够运行,鲁棒性差,还需要进行改进,希望各路大神指出错误(初学Python),不胜感激。
# @param Python多线程抓取Google搜索链接网页
# @author 编程之家 jb51.cc|www.512Pic.com
#-*-coding:utf-8-*-
import urllib2,urllib
import simplejson
import os,time,threading
import common,html_filter
#input the keywords
keywords = raw_input('Enter the keywords: ')
#define rnum_perpage,pages
rnum_perpage=8
pages=8
#定义线程函数
def thread_scratch(url,rnum_perpage,page):
url_set = []
try:
request = urllib2.Request(url,{'Referer': 'http://www.sina.com'})
response = urllib2.urlopen(request)
# Process the JSON string.
results = simplejson.load(response)
info = results['responseData']['results']
except Exception,e:
print 'error occured'
print e
else:
for minfo in info:
url_set.append(minfo['url'])
print minfo['url']
#处理链接
i = 0
for u in url_set:
try:
request_url = urllib2.Request(u,{'Referer': 'http://www.sina.com'})
request_url.add_header(
'User-agent','CSC'
)
response_data = urllib2.urlopen(request_url).read()
#过滤文件
#content_data = html_filter.filter_tags(response_data)
#写入文件
filenum = i+page
filename = dir_name+'/related_html_'+str(filenum)
print ' write start: related_html_'+str(filenum)
f = open(filename,'w+',-1)
f.write(response_data)
#print content_data
f.close()
print ' write down: related_html_'+str(filenum)
except Exception,e:
print 'error occured 2'
print e
i = i+1
return
#创建文件夹
dir_name = 'related_html_'+urllib.quote(keywords)
if os.path.exists(dir_name):
print 'exists file'
common.delete_dir_or_file(dir_name)
os.makedirs(dir_name)
#抓取网页
print 'start to scratch web pages:'
for x in range(pages):
print "page:%s"%(x+1)
page = x * rnum_perpage
url = ('https://ajax.googleapis.com/ajax/services/search/web'
'?v=1.0&q=%s&rsz=%s&start=%s') % (urllib.quote(keywords),page)
print url
t = threading.Thread(target=thread_scratch,args=(url,page))
t.start()
#主线程等待子线程抓取完
main_thread = threading.currentThread()
for t in threading.enumerate():
if t is main_thread:
continue
t.join()
# End www.jb51.cc