diff --git a/scripts/contatos_de_casas_que_usam_portalmodelo.py b/scripts/contatos_de_casas_que_usam_portalmodelo.py
new file mode 100644
index 0000000..6d722a8
--- /dev/null
+++ b/scripts/contatos_de_casas_que_usam_portalmodelo.py
@@ -0,0 +1,82 @@
+import cStringIO
+import codecs
+import csv
+
+from sigi.apps.casas.models import Funcionario
+from sigi.apps.contatos.models import Telefone
+from sigi.apps.servicos.models import TipoServico, Servico
+
+# cria um CSV com contatos das casas legislativas que possuem portal modelo ativo
+# rodar em um shell:
+#     ./manage.py shell
+#     %run scripts/contatos_de_casas_que_usam_portalmodelo.py
+#     ... verificar <ARQUIVO_CSV>
+
+ARQUIVO_CSV = '/tmp/contatos_casas_pm.csv'
+
+
+class UnicodeWriter:
+    """
+    A CSV writer which will write rows to CSV file "f",
+    which is encoded in the given encoding.
+
+    from https://docs.python.org/2/library/csv.html
+    """
+
+    def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
+        # Redirect output to a queue
+        self.queue = cStringIO.StringIO()
+        self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
+        self.stream = f
+        self.encoder = codecs.getincrementalencoder(encoding)()
+
+    def clean(self, cell):
+        return unicode(cell) if cell else '-'
+
+    def writerow(self, row):
+        self.writer.writerow([self.clean(s).encode("utf-8") for s in row])
+        # Fetch UTF-8 output from the queue ...
+        data = self.queue.getvalue()
+        data = data.decode("utf-8")
+        # ... and reencode it into the target encoding
+        data = self.encoder.encode(data)
+        # write to the target stream
+        self.stream.write(data)
+        # empty queue
+        self.queue.truncate(0)
+
+    def writerows(self, rows):
+        for row in rows:
+            self.writerow(row)
+
+
+pm = TipoServico.objects.get(nome=u'Portal Modelo')
+servicos = Servico.objects.filter(tipo_servico=pm, data_desativacao__isnull=True)
+casas = {s.casa_legislativa for s in servicos}
+
+tipos_telefone = dict(Telefone.TELEFONE_CHOICES)
+setores_funcionarios = dict(Funcionario.SETOR_CHOICES)
+
+with open(ARQUIVO_CSV, "wb") as f:
+    writer = UnicodeWriter(f, delimiter='\t', quotechar='"', quoting=csv.QUOTE_ALL)
+    writer.writerow([
+        "casa: ID", "casa: NOME",
+        "contato: NOME", "contato: TIPO",
+        "contato: EMAIL", "contato: CARGO", "contato: FUNCAO", "contato: TELEFONES",
+    ])
+    for casa in casas:
+        contatos = casa.funcionario_set.filter(setor__in=["contato_interlegis", "estrutura_de_ti"])
+        if not contatos:
+            contatos = casa.funcionario_set.all()
+        for contato in contatos:
+            writer.writerow([
+                casa.pk, casa.nome,
+                contato.nome, setores_funcionarios.get(contato.setor, '?').decode('utf-8'),
+                contato.email, contato.cargo, contato.funcao,
+                '; '.join('%s [tipo: %s]' % (t.numero, tipos_telefone.get(t.tipo)) for t in contato.telefones.all()),
+            ])
+        if not contatos:
+            writer.writerow([
+                casa.pk, casa.nome,
+                'SEM CONTATOS CADASTRADOS',
+            ])