diff --git a/scripts/casas_que_usam_LEGBR_ou_PM.py b/scripts/casas_que_usam_LEGBR_ou_PM.py
new file mode 100644
index 0000000..faf7c81
--- /dev/null
+++ b/scripts/casas_que_usam_LEGBR_ou_PM.py
@@ -0,0 +1,66 @@
+import cStringIO
+import codecs
+import csv
+
+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/casas_que_usam_LEGBR_ou_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(sigla=u'PM')
+leg = TipoServico.objects.get(sigla=u'LEGBR')
+servicos = Servico.objects.filter(tipo_servico__in=[pm, leg], data_desativacao__isnull=True)
+
+casas = {s.casa_legislativa for s in servicos}
+
+with open(ARQUIVO_CSV, "wb") as f:
+    writer = UnicodeWriter(f, delimiter='\t', quotechar='"', quoting=csv.QUOTE_ALL)
+    writer.writerow([
+        "casa: UF", "casa: NOME",
+    ])
+    for casa in casas:
+        writer.writerow([
+            casa.municipio.uf, casa.nome,
+        ])