python打造批量关键词排名查询工具

   自己做站点的时候，都看看收录和关键词排名什么的，所以打造的这个批量关键词查询工具。

   

#encoding:utf-8
import urllib,re,random,time,sys,StringIO,socket
try:
    import pycurl
except:
    pass
from bs4 import BeautifulSoup
score={1: 28.56,
       2: 19.23,
       3: 10.20,
       4: 8.14,
       5: 7.50,
       6: 5.72,
       7: 4.01,
       8: 4.41,
       9: 5.53,
       10: 6.70,}

#获取根域名，百度产品直接显示子域名
def root_domain(url):
    if 'baidu.com' in url:
        return url
    else:
        try:
            url = url.replace('http://', '')
            l = ['.com.cn', '.org.cn', '.net.cn', '.gov.cn']
            for suffix in l:
                if suffix in url:
                    return re.search('^(.*?..*?)*([^.]+?.[^.]+?.[^.]+)', url).group(2)
            return re.search('^(.*?..*?)*([^.]+?.[^.]+)', url).group(2)
        except:
            return '-'

def curl(url, debug=False, **kwargs):
    list=['Mozilla/5.0 (Windows NT 5.1; rv:37.0) Gecko/20100101 Firefox/37.0','Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36','Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36']
    randhead=random.sample(list,1)
    while 1:
        try:
            s = StringIO.StringIO()
            c = pycurl.Curl()
            c.setopt(pycurl.URL, url)
            c.setopt(pycurl.REFERER, url)
            c.setopt(pycurl.FOLLOWLOCATION, True)
            c.setopt(pycurl.TIMEOUT, 60)
            c.setopt(pycurl.ENCODING, 'gzip')
            c.setopt(pycurl.USERAGENT, '%s'%randhead[0])
            c.setopt(pycurl.NOSIGNAL, True)
            c.setopt(pycurl.WRITEFUNCTION, s.write)
            for k, v in kwargs.iteritems():
                c.setopt(vars(pycurl)[k], v)
            c.perform()
            c.close()
            return s.getvalue()
        except:
            if debug:
                raise
            continue


def get_baidudata(keyword,rn):
    search_url = 'http://www.baidu.com/s?wd=%s&rn=%d'%(urllib.quote(keyword),rn)
    pagetext = curl(search_url)  #获取百度搜索结果源代码

    while 'http://verify.baidu.com' in pagetext: #判断 如果查询过程中出现验证码则提示并停止10分钟，然后重新查询
        print u"查询过程出现验证码，休息10分钟",keyword
        time.sleep(600)
        pagetext = curl(search_url)
    else:
        soup = BeautifulSoup(pagetext)
        data = soup.find_all("div",attrs={'class':'result c-container '})#提取自然排名结果
        return data

    return

def get_rank_data(keyword,rn):
    data = get_baidudata(keyword,rn)#获取自然排名结果
    items = {}
    for result in data:
        g = result.find_all("a",attrs={'class':'c-showurl'})#获取主域名
        if g:
            site=re.search(r'([a-zA-Z0-9.-]+)',g[0].text)
            host = site.groups(1)[0]
            host=root_domain(host)#获取根域名
            rank = int(result['id'])#排名
            if host not in items.keys():
                items[host] = []
                items[host].append(score[rank])
            else:
                items[host].append(score[rank])
    return items#返回单个词前十数据

def get_keywords(filename):#读取关键词返回列表
    kwfile = open(filename,'r')
    keywords = kwfile.readline()
    kw_list = []
    while keywords:
        kw = keywords.strip()
        kw_list.append(kw)
        keywords = kwfile.readline()
    kwfile.close()
    return kw_list

def get_all_data(filename,rn):#单域名数据合并
    kw_list = get_keywords(filename)
    items = {}
    for i,kw in enumerate(kw_list,1):
        print i,kw
        item = get_rank_data(kw,rn)
        for host,rank in item.items():
            if host not in items.keys():
                items[host] = rank
            else:
                items[host].extend(rank)
    return items

def get_score(filename,rn):
    data = get_all_data(filename,rn)
    fh = open('score.csv','a+')
    fh.write('host,kws,average_score,host_score,
')

    for host,rank in data.items():
        if host != None:
            host = host.encode('utf-8')
        else:
            host = 'error page'
        kws = len(rank)#关键词数
        host_score = sum(rank)#总得分
        average_score = host_score/kws#平均分
        fh.write(host+','+str(kws)+','+str(average_score)+','+str(host_score)+'
')
    return

if __name__=="__main__":
    file=raw_input("请输入包含关键词的文件名：")