Broken options class for pandas.io.data - Did Yahoo just change their options site?

[dscheste]

Hello,
Yahoo seems to have changed their site design as I no longer can pull any options data with panda.

Does anyone else experience this?

Here's what's called:

Code Sample, a copy-pastable example if possible

!/usr/bin/python

import sys, getopt
import pandas as pd
import numpy as np
from pandas.io.data import DataFrame
from pandas.io.data import Options
import h5py as h5
from pandas_datareader import data, wb
import datetime
import time
ticker = str(sys.argv[1])
new_data=pd.DataFrame()
option = Options(ticker, 'yahoo')
data = option.get_all_data()
new_data = new_data.append(data)
new_data.to_csv('cache/'+ticker)

And here's what I am getting:

Traceback (most recent call last):
File "db1.py", line 18, in
data = option.get_all_data()
File "/usr/local/lib/python2.7/dist-packages/pandas/io/data.py", line 1134, in get_all_data
expiry_dates = self.expiry_dates
File "/usr/local/lib/python2.7/dist-packages/pandas/io/data.py", line 1165, in expiry_dates
expiry_dates, _ = self._get_expiry_dates_and_links()
File "/usr/local/lib/python2.7/dist-packages/pandas/io/data.py", line 1191, in _get_expiry_dates_and_links
raise RemoteDataError('Data not available')
pandas.io.data.RemoteDataError: Data not available

output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-24-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_CA.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.1
setuptools: 20.7.0
Cython: 0.23.4
numpy: 1.11.0
scipy: 0.17.0
statsmodels: 0.6.1
xarray: None
IPython: None
sphinx: None
patsy: 0.4.1
dateutil: 2.4.2
pytz: 2014.10
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.4.3
matplotlib: 1.5.1
openpyxl: 2.3.0
xlrd: 0.9.4
xlwt: 0.7.5
xlsxwriter: None
lxml: 3.5.0
bs4: 4.4.1
html5lib: 0.999
httplib2: 0.9.1
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: 0.2.0

[sinhrks]

Thx, dupe with pydata/pandas-datareader#192. Otherwise pls report on https://github.com/pydata/pandas-datareader.