Python练手之爬虫

很久没更新博客了,最近自学Python,写个在百度上爬算法题题解的爬虫,第一次写爬虫..纯当练手

慢慢来..

#coding:utf-8
'''
Created on 2016年11月22日

@author: liyinggang
'''
from link_crawler_baidu import link_crawler_baidu
import urllib
baseUrl = 'http://www.baidu.com/s'
page = 1 #第几页
ojname = 'hdu'
problemnum = ''
word = ojname + problemnum
data = {'wd':word,'pn':str(page-1)+'','tn':'baidurt','ie':'utf-8','bsst':''}
data = urllib.urlencode(data)
url = baseUrl+'?'+data
print url
link_crawler_baidu(url,'lyg',ojname,problemnum)

首先是进入百度主页,main.py

然后我将博客园和csdn的链接筛选出来(编码问题好难弄,最后百度了个笨方法).

#coding:utf-8
'''
Created on 2016年11月22日

@author: liyinggang
'''
import re,lxml.html,urlparse
from download import download
import sys
from link_crawler_cnblogs import link_crawler_cnblogs
from link_crawler_csdn import link_crawler_csdn
reload(sys)
def link_crawler_baidu(seed_url,user_agent=None,ojname='hdu',problemnum=''):
    html = download(seed_url,user_agent=user_agent)
    url1 = "http://www.cnblogs.com/";
    url2 = "http://blog.csdn.net/";
    regex1 = re.compile(url1)
    regex2 = re.compile(url2)
    cnt1 = 0
    cnt2 = 0
    links = [link for link in get_links(html) if \
             re.match(regex1,link) or re.match(regex2, link)]
    for link in links:
        link = union(seed_url,link)
        html = download(link,user_agent=user_agent)
        html = unicode(html, "utf-8") #只能用这个笨方法了
        tree = lxml.html.fromstring(html)
        text = tree.cssselect('title')[0].text_content()
        regex1 = re.compile(u'%s([\s\S]*)%s([\s\S]*)博客园'%(ojname,problemnum),re.IGNORECASE)
        regex2 = re.compile(u'%s([\s\S]*)%s([\s\S]*)CSDN.NET'%(ojname,problemnum),re.IGNORECASE)
        if(re.search(regex1,text)):
            filename = ojname+problemnum+'_'+str(cnt1)
            if(link_crawler_cnblogs(link,user_agent=user_agent,filename=filename)):
                cnt1+=1
        if(re.search(regex2,text)):
            filename = ojname+problemnum+'_'+str(cnt2)
            if(link_crawler_csdn(link,user_agent=user_agent,filename=filename)):
                cnt2+=1

def union(seed_url,link):
    """
          将seed_url 与 link 拼接
    """
    link, _ = urlparse.urldefrag(link)  #将link分解成去掉fragment的新url和去掉的fragment的二元组
    return urlparse.urljoin(seed_url, link)

def get_links(html):
    """
          获取html中的外链链接
    """
    webpage_regex = re.compile('href=["\'](.*?)["\']', re.IGNORECASE) #忽略大小写
    # return all links list
    return webpage_regex.findall(html)

博客园的代码的获取.

#coding:utf-8
'''
Created on 2016年11月22日

@author: liyinggang
'''
from download import download
import lxml.html
import re
from fileinput import filename
def link_crawler_cnblogs(url,user_agent=None,filename='filename'):
    html = download(url,user_agent=user_agent)
    html = unicode(html,"utf-8")
    tree = lxml.html.fromstring(html)
    texts = tree.cssselect('pre')
    regex = re.compile('^(#include|import)([\s\S]*)main()')  #如果是代码里面一定包含 mian() 函数
    flag = False
    for text in texts:
        text = text.text_content()
        if(re.search(regex, text)):
            flag = True
            f = open("D:\\download\\cnblogs\\%s.txt"%filename,"w")
            f.write(text)
            f.close()
            break
    return flag

csdn代码的获取:

#coding:utf-8
'''
Created on 2016年11月22日

@author: liyinggang
'''
from download import  download
import  lxml.html
import re
def link_crawler_csdn(url,user_agent=None,filename='filename'):
    html = download(url,user_agent=user_agent)
    html = unicode(html,"utf-8")
    tree = lxml.html.fromstring(html)
    texts = tree.cssselect('pre')
    texts.extend(tree.cssselect('p > textarea.cpp'))
    flag = False
    regex = re.compile('^(#include|import)([\s\S]*)main()') #如果是代码里面一定包含 mian() 函数
    for text in texts:
        text = text.text_content()
        if(re.search(regex, text)):
            flag = True
            f = open("D:\\download\\csdn\\%s.txt"%filename,"w")
            f.write(text)
            f.close()
            break
    return flag
    

下载网页的代码:

#coding:utf-8
'''
Created on 2016-11-20

@author: admin
'''
import urllib2
import urlparse
def download(url,user_agent='lyg',proxy=None,retest=5):
#user_agent是设置代理用户,proxy代表是否使用代理,retest是代表测试多少次
    """
    This method is to download the website source code
    """
    print 'Downloading:',url
    headers = {'User-agent':user_agent} #设置用户代理,默认Python-urllib/2.7有可能被一些网站封禁
    request = urllib2.Request(url,headers=headers)

    opener = urllib2.build_opener()
    if proxy:
        proxy_params = {urlparse.urlparse(url).schema: proxy}
        opener.add_handler(urllib2.ProxyHandler(proxy_params))
    try:
        html = opener.open(request).read()
    except urllib2.URLError as e:
        print 'Downlaod error:',e.reason
        html = None
        if retest>0:
            if hasattr(e, 'code') and 500<= e.code <=600:
                #如果错误代码在 500- 600 之间就重新试,404这种就没必要尝试了
                download(url, retest-1)
    return html

得到的结果:

aaarticlea/png;base64,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" 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