forked from jcodagnone/inmuebles
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathscrapper.py
executable file
·314 lines (252 loc) · 11.8 KB
/
scrapper.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
#!/usr/bin/env python
#
# Copyright (c) 2007 by Juan F. Codagnone <juan.zauber.com.ar>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; dweither version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
#
# Scrapper de sitios inmobiliarios:
# API e implementacion para obtener informacion raw de sitios inmobiliarios
#
# Todo scrapper tiene un metodo get(id).
# El id tiene diferentes formas (string, int, ...)..depende del scrapper
# Los scrappers retornan un diccionario de valores. La unica palabra del
# diccionario que todos los scrappers deben retornar es la propiedad the_geom
# con las coordenadas geograficas del inmueble
from sys import path
path.append('site-packages')
import re, sys, codecs, urllib2
from BeautifulSoup import BeautifulSoup
from urlparse import urlparse
from geocoder import *
########### cosas comunes a los scrappers ##################################
class AbstractHttpContentProvider:
""" clase base para todos los content providers que vayan por http """
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)',
'Accept-encoding': 'gzip',
'Referer': self.referer,
}
def _get(self, url):
request = urllib2.Request(url)
for key,value in self.headers.iteritems():
request.add_header(key,value)
return urllib2.urlopen(request)
class AbstractMockContentProvider:
""" clase base para todos los content providers mock """
def dumpfile(self, filename):
f = open(filename)
s = ''
for line in f:
s = s + line
f.close()
return s
class AggregateBuscaInmuebleScrapper:
""" combina multiples *BuscaInmuebleScrapper """
def __init__(self, arrayBuscaInmuebleScrapper):
self.arrayBuscaInmuebleScrapper = arrayBuscaInmuebleScrapper
def get(self, id):
ret = {}
for scrapper in self.arrayBuscaInmuebleScrapper:
ret.update(scrapper.get(id))
return ret
class DefaultTextCleanerStrategy:
""" hace legible el texto que queda de las paginas html.
remueve tags html
"""
reMultipleSpaces = re.compile(' +');
reFinalColon= re.compile(':$');
def clean(self, text):
s = text.expandtabs(1) \
.replace('\n', ' ') \
.replace('\r', ' ')
return self.reFinalColon.sub('',
self.reMultipleSpaces.sub(' ', s))
def tabularScraper(table, textCleanerStrategy):
""" extrae en forma de propiedad todas las filas e una tabla """
ret = {}
for i in table.findAll('tr'):
row = []
for j in i.findAll('td'):
text = ''.join([e for e in j.recursiveChildGenerator()
if isinstance(e, unicode)]).strip()
row.append(textCleanerStrategy.clean(text))
if len(row[0]) != 0:
ret[row[0]] = row[1]
return ret
########### CLARIN (BUSCA INMUBUEBLE) ##################################
class MainBuscaInmuebleScrapper:
""" retorna un diccionario con datos principales de una propiedades. """
def __init__(self, pageContentProvider, textCleanerStrategy):
self.pageContentProvider = pageContentProvider
self.textCleanerStrategy = textCleanerStrategy
def get(self, id):
soup = BeautifulSoup(self.pageContentProvider.retriveMain(id),
convertEntities="html", smartQuotesTo="html")
l = soup.findAll('table', width="261")
if len(l) == 1:
return tabularScraper(l[0], textCleanerStrategy);
else:
raise AssertionError('no se encontro la tabla con datos de la propiedad')
class MapBuscaInmuebleScrapper:
""" retorna un diccionario con las coordenadas del lugar """
def __init__(self, pageContentProvider):
self.pageContentProvider = pageContentProvider
def get(self, id):
soup = BeautifulSoup(self.pageContentProvider.retriveMap(id),
convertEntities="html", smartQuotesTo="html")
l = soup.findAll('iframe')
if len(l) == 1:
url = urlparse(l[0]['src'].replace('&', '&'))
map = dict([n for n in [i.split('=') for i in url[4].split('&')]])
return {'the_geom': '%s %s' % (map['pos_x'], map['pos_y'])}
else:
raise AssertionError('no se encontro la tabla con datos de la propiedad')
class MockPageContentProvider(AbstractMockContentProvider):
""" provee el contenido de las paginas web...version mock para testeo """
mainBasePath = 'test/content/main_%d.html'
mapBasePath = 'test/content/mapa_%d.html'
def retriveMain(self, id):
return self.dumpfile(self.mainBasePath % int(id))
def retriveMap(self, id):
return self.dumpfile(self.mapBasePath % int(id))
class HttpPageContentProvider(AbstractHttpContentProvider):
""" provee el contenido de las paginas web... """
mainURL = 'http://www.inmuebles.clarin.com/inm/verAviso.do?idAviso=%d'
mapURL = 'http://www.inmuebles.clarin.com/inm/verMapa.do?idAviso=%d'
referer = 'http://www.inmuebles.clarin.com/inm/resultadosBusqueda.do'
def retriveMain(self, id):
return self._get(self.mainURL % int(id))
def retriveMap(self, id):
return self._get(self.mapURL % int(id))
########### TODO PROPIEDADES ##################################
class MainTodoPropiedadesScrapper:
""" obtiene datos de una propiedad de todopropiedades """
geocoder = Geocoder()
reAddress = re.compile('^(.*) (\d+)$')
def __init__(self, pageContentProvider, textCleanerStrategy):
self.pageContentProvider = pageContentProvider
self.textCleanerStrategy = textCleanerStrategy
def get(self, id):
soup = BeautifulSoup(self.pageContentProvider.retrive(id),
convertEntities="html", smartQuotesTo="html")
l = soup.findAll('table', bordercolor='#FF9D00')
if len(l) == 1:
return tabularScraper(l[0], textCleanerStrategy);
else:
raise AssertionError('no se encontro la tabla con datos de la propiedad')
class HttpTodoPropiedadesContentProvider(AbstractHttpContentProvider):
referer = 'http://www.todopropiedades.com/respuesta_prop.phtml'
URL = 'http://www.todopropiedades.com/respuesta_propmasinfo.phtml?codinmob=%d&codprop=%d&archivo=respuesta_propmasinfo12.shtml'
def retrive(self, id):
inmobiliaria, propiedad = id.split('-')
return self._get(self.URL % (int(inmobiliaria), int(propiedad)))
class MockTodoPropiedadesContentProvider(AbstractMockContentProvider):
""" provee el contenido de las paginas web...version mock para testeo """
mainBasePath = 'test/content/todopropiedades_%s.html'
def retrive(self, id):
return self.dumpfile(self.mainBasePath % id)
############ Argenprop ##################################
class MainArgenPropScrapper:
""" obtiene datos de una propiedad de http://www.argenprop.com.ar/"""
def __init__(self, pageContentProvider, textCleanerStrategy):
self.pageContentProvider = pageContentProvider
self.textCleanerStrategy = textCleanerStrategy
def get(self, id):
soup = BeautifulSoup(self.pageContentProvider.retrive(id),
convertEntities="html", smartQuotesTo="html")
l = soup.findAll('table', bgcolor='FFFFFF')
if len(l) == 1:
r = tabularScraper(l[0], textCleanerStrategy);
# busco the_geom
the_geom = None
for link in soup.findAll('a'):
s = "javascript:NvaVentana('/netmapas"
if link['href'].startswith(s):
url = urlparse(link['href'][len(s):].replace('&', '&'))
d = dict([n for n in [i.split('=') for i in url[4].split('&')]])
the_geom = '%s %s' % (d['Lon'], d['LAT'])
the_geom = the_geom.replace(',', '.')
if the_geom == None:
raise AssertionError('no se encontro las coordenadas')
else:
r['the_geom'] = the_geom
return r
else:
raise AssertionError('no se encontro la tabla con datos de la propiedad')
class HttpArgenPropContentProvider(AbstractHttpContentProvider):
referer = 'http://www.argenprop.com.ar/index.asp'
URL = 'http://websinmob.argenprop.com.ar/buscador/masdatos.asp?idpropiedad=%s&sqllook=I'
def retrive(self, id):
return self._get(self.URL % id)
class MockArgenPropContentProvider(AbstractMockContentProvider):
""" provee el contenido de las paginas web...version mock para testeo """
mainBasePath = 'test/content/argenprop_%s.html'
def retrive(self, id):
return self.dumpfile(self.mainBasePath % id)
############ FLOF ##################################
class MainFlofScrapper:
""" obtiene datos de flof.com.ar """
def __init__(self, pageContentProvider):
self.pageContentProvider = pageContentProvider
def get(self, id):
soup = BeautifulSoup(self.pageContentProvider.retrive(id),
convertEntities="xml", smartQuotesTo="xml")
l = soup.findAll('point')
if len(l) == 1:
ret = {}
ret['the_geom'] = '%s %s' % (l[0]['y'], l[0]['x'])
ret['labels'] = reduce(lambda x,y: '%s %s' % (x,y), [i['name'] for i in l[0].findAll('label')])
spot = l[0].findAll('spot')[0]
for k,v in spot._getAttrMap().iteritems():
v = v.strip()
if v != '':
ret[k] = v
return ret
r = tabularScraper(l[0], textCleanerStrategy);
else:
raise AssertionError('no se encontro la tabla con datos de la propiedad')
class HttpFlofContentProvider(AbstractHttpContentProvider):
referer = 'http://flof.com.ar/'
URL = 'http://flof.com.ar/bin/spot/lookup/?maxX=90&maxY=180&minY=-180&minX=-90&results=1&orderById=%d'
def retrive(self, id):
return self._get(self.URL % int(id))
############ INICIALIZIZACION ##################################
textCleanerStrategy = DefaultTextCleanerStrategy()
cpageContentProvider = HttpPageContentProvider()
#cpageContentProvider = MockPageContentProvider()
scrappers = { 'clarin':
AggregateBuscaInmuebleScrapper([
MainBuscaInmuebleScrapper(cpageContentProvider, textCleanerStrategy),
MapBuscaInmuebleScrapper(cpageContentProvider)
]),
'todopropiedades': MainTodoPropiedadesScrapper(
HttpTodoPropiedadesContentProvider(), textCleanerStrategy ),
'argenprop': MainArgenPropScrapper(
HttpArgenPropContentProvider(), textCleanerStrategy ),
'flof': MainFlofScrapper(HttpFlofContentProvider()),
}
if __name__ == "__main__":
sys.stdout = codecs.lookup('latin1')[-1](sys.stdout)
if len(sys.argv) == 3:
for key,value in scrappers[sys.argv[1]].get(sys.argv[2]).iteritems():
print '%30s: %s' % (key, value)
else:
print 'Usage: %s proveedor id_de_la_propiedad' % sys.argv[0]
print
print 'Example: %s clarin 1325956' % sys.argv[0]
print 'Example: %s todopropiedades 135-15082' % sys.argv[0]
print 'Example: %s argenprop BW38037' % sys.argv[0]
print 'Example: %s flof 6479' % sys.argv[0]