class DaiYiCha(object):
def __init__(self):
self.spyder = WebSpyder()
#下载详细数据
def get_ajax_info(self, p2p_name, outpath='p2p_info/'):
assert (isinstance(p2p_name, unicode))
url = 'http://www.daiyicha.com/cha.php?view=show&word=' + urllib.quote(
str(p2p_name.encode('gb2312')))
data = self.spyder.get_data(url)
start = data.find(
'jq.getJSON("plugin.php?id=lonvoy_siteinfo:ax", ') + len(
'jq.getJSON("plugin.php?id=lonvoy_siteinfo:ax", ')
tmp_data = data[start:]
tmp_data = tmp_data[:tmp_data.find(', function (json)')]
del data
tmp_data = tmp_data.replace(':', '":')
tmp_data = tmp_data.replace(',', ',"')
tmp_data = tmp_data.replace('{', '{"')
data_dict = json.loads(tmp_data)
data_url = 'http://www.daiyicha.com/plugin.php?id=lonvoy_siteinfo:ax'
for k, v in data_dict.iteritems():
data_url += '&' + str(k).strip() + '=' + urllib.quote(
str(v.encode('gb2312')))
total_data = self.spyder.get_data(data_url)
f = open(outpath + p2p_name + '.txt', 'w')
f.write(total_data)
f.close()
class DaiYiCha(object):
def __init__(self):
self.spyder = WebSpyder()
#下载详细数据
def get_ajax_info(self,p2p_name,outpath='p2p_info/'):
assert(isinstance(p2p_name,unicode))
url = 'http://www.daiyicha.com/cha.php?view=show&word=' + urllib.quote(str(p2p_name.encode('gb2312')))
data = self.spyder.get_data(url)
start = data.find('jq.getJSON("plugin.php?id=lonvoy_siteinfo:ax", ')+len('jq.getJSON("plugin.php?id=lonvoy_siteinfo:ax", ')
tmp_data = data[start:]
tmp_data = tmp_data[:tmp_data.find(', function (json)')]
del data
tmp_data = tmp_data.replace(':','":')
tmp_data = tmp_data.replace(',',',"')
tmp_data = tmp_data.replace('{','{"')
data_dict = json.loads(tmp_data)
data_url = 'http://www.daiyicha.com/plugin.php?id=lonvoy_siteinfo:ax'
for k,v in data_dict.iteritems():
data_url += '&'+str(k).strip()+'='+urllib.quote(str(v.encode('gb2312')))
total_data = self.spyder.get_data(data_url)
f = open(outpath+p2p_name+'.txt','w')
f.write(total_data)
f.close()
def __init__(self,parser,name='Spyder_Runner'):
self.name = name
#列表也页面的任务
self.list_jobs = Queue.Queue(maxsize = 100)
#详情页面的任务
self.detail_jobs = Queue.Queue(maxsize = 10000)
#下载的爬虫
self.downloader = WebSpyder()
#解析的程序
self.parser = parser
def __init__(self,spyder = None):
self.spyder = spyder
if not self.spyder:
self.spyder = WebSpyder()
self.dictionary = {
u"北京": ("110000", u"北京市"), u"天津": ("120000", u"天津市"), u"河北": ("130000", u"河北省"), u"山西": ("140000", u"山西省"),u"内蒙古": ("150000", u"内蒙古"),
u"辽宁": ("210000", u"辽宁省"), u"吉林": ("220000", u"吉林省"), u"黑龙江": ("230000", u"黑龙江省"),
u"上海": ("310000", u"上海市"), u"江苏": ("320000", u"江苏省"), u"浙江": ("330000", u"浙江省"), u"安徽": ("340000", u"安徽省"), u"福建": ("350000", u"福建省"), u"江西": ("360000", u"江西省"), u"山东": ("370000", u"山东省"),
u"河南": ("410000", u"河南省"), u"湖北": ("420000", u"湖北省"), u"湖南": ("430000", u"湖南省"), u"广东": ("440000", u"广东省"), u"广西": ("450000", u"广西"), u"海南": ("460000", u"海南省"),
u"重庆": ("500000", u"重庆市"), u"四川": ("510000", u"四川省"), u"贵州": ("520000", u"贵州省"), u"云南": ("530000", u"云南省"), u"西藏": ("540000", u"西藏"),
u"陕西": ("610000", u"陕西省"), u"甘肃": ("620000", u"甘肃省"), u"青海": ("630000", u"青海省"), u"宁夏": ("640000", u"宁夏"), u"新疆": ("650000", u"新疆"),
"":"",
}
class Spyder_Runner(object):
def __init__(self,parser,name='Spyder_Runner'):
self.name = name
#列表也页面的任务
self.list_jobs = Queue.Queue(maxsize = 100)
#详情页面的任务
self.detail_jobs = Queue.Queue(maxsize = 10000)
#下载的爬虫
self.downloader = WebSpyder()
#解析的程序
self.parser = parser
#添加任务
def add_list_job(self,list_url):
if self.parser.is_myurl(list_url):
self.list_jobs.put(list_url)
#是否要加入list表
def __is_add_to_list_job__(self,list_url):
return True
#添加详情页面任务
def add_detail_job(self,details):
for detail in filter(lambda x:self.parser.is_myurl(x),details):
self.add_detail_job.put(detail)
#运行
def run(self):
while True:
#处理列表页
try:
list_url = self.list_jobs.get(timeout = 5)
if list_url:
htmldata = self.downloader.get_htmldata(list_url)
self.add_detail_job(self.parser.parse_list(htmldata))
#获得下一个列表网址
next_list_url = self.parser.next_list_url(list_url)
#判断是不是需要加入的下载列表中去
if self.__is_add_to_list_job__(next_list_url):
self.add_list_job(next_list_url)
except Exception as e:
print e
#处理详情页
try:
while self.detail_jobs.qsize() > 0:
detail = self.detail_jobs.get(timeout=5)
if detail:
print self.parser.parse_detail(detail)
except Exception as e:
print e
class SuperBabySpyder(object):
def __init__(self):
self.spyder = WebSpyder()
def get_data(self,url):
return self.spyder.get_data(url)
def parse_list(self,data):
pass
def parse_deatail(self,data):
pass
def __init__(self):
self.spyder = WebSpyder()
def __init__(self):
self.spyder = WebSpyder()
"""
Created on Thu Apr 28 13:32:38 2016
@author: gong
@description:下载“佛山法院网”中的“破产公告”，“中国破产资产网”中的“行业新闻”，“中国法院网”中的“法院公告”整理破产企业信息
"""
import StringIO,gzip
import time
import json
import datetime
from WebSpyder import WebSpyder
from bs4 import BeautifulSoup
webspyder = WebSpyder()
<<<<<<< HEAD
DAY = 5
=======
DAY = 10
>>>>>>> origin/master
#解压gzip
def gzdecode(data) :
compressedstream = StringIO.StringIO(data)
gziper = gzip.GzipFile(fileobj=compressedstream)
data2 = gziper.read() # 读取解压缩后数据
return data2
def get_foshan(spyder = webspyder):
#先获得时间数组格式的日期
class ZhengXin11315(object):
def __init__(self,spyder = None):
self.spyder = spyder
if not self.spyder:
self.spyder = WebSpyder()
self.dictionary = {
u"北京": ("110000", u"北京市"), u"天津": ("120000", u"天津市"), u"河北": ("130000", u"河北省"), u"山西": ("140000", u"山西省"),u"内蒙古": ("150000", u"内蒙古"),
u"辽宁": ("210000", u"辽宁省"), u"吉林": ("220000", u"吉林省"), u"黑龙江": ("230000", u"黑龙江省"),
u"上海": ("310000", u"上海市"), u"江苏": ("320000", u"江苏省"), u"浙江": ("330000", u"浙江省"), u"安徽": ("340000", u"安徽省"), u"福建": ("350000", u"福建省"), u"江西": ("360000", u"江西省"), u"山东": ("370000", u"山东省"),
u"河南": ("410000", u"河南省"), u"湖北": ("420000", u"湖北省"), u"湖南": ("430000", u"湖南省"), u"广东": ("440000", u"广东省"), u"广西": ("450000", u"广西"), u"海南": ("460000", u"海南省"),
u"重庆": ("500000", u"重庆市"), u"四川": ("510000", u"四川省"), u"贵州": ("520000", u"贵州省"), u"云南": ("530000", u"云南省"), u"西藏": ("540000", u"西藏"),
u"陕西": ("610000", u"陕西省"), u"甘肃": ("620000", u"甘肃省"), u"青海": ("630000", u"青海省"), u"宁夏": ("640000", u"宁夏"), u"新疆": ("650000", u"新疆"),
"":"",
}
#最长公共子串
def max_substring(self, strA, strB):
#计算呈现条目与搜索企业的相似度
lenA, lenB = len(strA), len(strB)
c = [[0 for i in range(lenB)] for j in range(lenA)]
#初始化
for i in range(lenB):
if strA[0] == strB[i]:c[0][i] = 1
else:c[0][i] = 0 if i == 0 else c[0][i-1]
for i in range(lenA):
if strA[i] == strB[0]:c[i][0] = 1
else:c[i][0] = 0 if i== 0 else c[i-1][0]
for i in range(1,lenB):
for j in range(1,lenA):
if strA[j] == strB[i]:c[i][j] = 1+c[i-1][j-1]
else:c[i][j] = max(c[i][j-1],c[i-1][j])
return c[lenB-1][lenA-1]
#解压gzip
def gzdecode(self,data) :
compressedstream = StringIO.StringIO(data)
gziper = gzip.GzipFile(fileobj=compressedstream)
data2 = gziper.read() # 读取解压缩后数据
return data2
#编辑距离
def string_distance(self, strA, strB):
#计算呈现条目与搜索企业的相似度
lenA, lenB = len(strA), len(strB)
c = [[0 for i in range(lenB+1)] for j in range(lenA+1)]
for i in range(lenA): c[i][lenB] = lenA - i
for i in range(lenB): c[lenA][i] = lenB - j
c[lenA][lenB] = 0
for i in range(lenA-1, -1, -1):
for j in range(lenB-1, -1, -1):
if strB[j] == strA[i]: c[i][j] = c[i+1][j+1]
else: c[i][j] = min(c[i][j+1], c[i+1][j], c[i+1][j+1]) + 1
return c[0][0]
def get_content(self, name, province=''):
url = "http://www.11315.com/newSearch?regionMc=%s®ionDm=%s&searchType=1&searchTypeHead=1&name=%s"
keyword_n = urllib.quote(name.encode('utf-8'))
keyword_p = ''
keyword_id = ''
if province:
region = self.dictionary[province]
keyword_p = urllib.quote(region[1].encode('utf-8'))
keyword_id = region[0]
url = url % (keyword_p ,keyword_id ,keyword_n)
if isinstance(self.spyder,WebSpyder):
return self.gzdecode(self.spyder.get_htmldata(url))
else:
return self.spyder.get_htmldata(url)
def match(self, content, name):
#找出最可能匹配的条目
distance = []
records = [i for i in content.find_all("div") if i["class"][0] == u"innerBox"]
for i in records:
distance.append(self.string_distance(name, i.find_all("a")[1].text))
target = 0
mindis = len(name)
for i in range(len(records)):
if distance[i] < mindis:
mindis = distance[i]
target = i
#信用网址，之后抓取此页
crediturl = records[target].find_all("td")[1].text.strip()
delegate = records[target].find_all("td")[2].text.strip() #法人在之后的页面通常为一图片，这里提前把文本抓好
return crediturl, delegate
#写入到文件
def to_file(self,dict_data,filename):
for k,v in dict_data.iteritems():
print k,v
f = open(filename,'a')
f.write(json.dumps(dict_data).encode('utf8')+'\n')
f.close()
#Query类的包裹函数
def search(self,name,outfile, province=''):
try:
#if province=='': province = "选择地区"
#return query.get_content()
html = self.get_content(name, province)
if html.find(u'系统检测到您的请求存在异常') >= 0:
print u'IP被网站封了，oh yeah！\n'
return None
content = bs4.BeautifulSoup(html, "html.parser").find("div", id="main")
records_num = int(content.find("p").a.text)
if records_num==0: return -1 #未查询成功
crediturl, delegate = self.match(content, name) #delegate尚未用到
if isinstance(self.spyder,WebSpyder):
creditdata = self.gzdecode(self.spyder.get_htmldata(crediturl))
else:
creditdata = self.spyder.get_htmldata(crediturl)
if creditdata.find(u'系统检测到您的请求存在异常') >= 0:
print u'IP被网站封了，oh yeah！\n'
return None
#print creditdata
result_1 = ParseDetail.parse_datail(creditdata)
if isinstance(self.spyder,WebSpyder):
deepdata = self.gzdecode(self.spyder.get_htmldata(crediturl+result_1[u'更多信息']))
else:
deepdata = self.spyder.get_htmldata(crediturl+result_1[u'更多信息'])
result_2 = ParseDetail.deep_detail(deepdata)
result_1[u'企业法人'] = delegate
result_1[u'主营产品'] = result_2[u'主营产品']
result_1[u'公司介绍'] = result_2[u'公司介绍']
result_1.iteritems
self.to_file(result_1,outfile)
except:
traceback.print_exc()
"""
import os
from WebSpyder import WebSpyder
from urllib import urlencode
from bs4 import BeautifulSoup
import traceback
import pandas as pd
from multiprocessing.dummy import Pool as ThreadPool
from extract_company_name import segmentation
#全局的字典
global P2P_DICT
P2P_DICT = None
#全局爬虫
global SPYDER
SPYDER = WebSpyder()
#解析必应的返回数据
def parse_bing_data(data):
soup = BeautifulSoup(data, 'lxml')
soup.find('ol', attrs={'id': 'b_results'}).findAll('')
#获得p2p的相关信息和链接
def get_all_p2p_names(spyder, outfile='p2p.csv', max_list=92):
url = 'http://www.rjb777.com/a/pingtai/list_%s.html'
result = []
for i in xrange(1, max_list + 1):
tmp_url = url % i
print 'Now processing %s!' % tmp_url
