import io
import requests
url='https://hubofdata.ru/storage/f/2013-10-22T09%3A25%3A27.793Z/mosgaz-streets.csv'
s = requests.get(url).content
districts = pd.read_csv(io.StringIO(s.decode('utf-8')))
districts.head()

district_dict = {}
def request_coords(row):
    address = row
    district = None
    try:
        params1 = {
            'geocode' : row,
            'apikey' : 'f7fdea37-e088-4928-8638-5fddb296e08d',
            'format' : 'json'
       }
        response = requests.get(URL, params=params1)
        coord = json.loads(response.text)['response']['GeoObjectCollection']['featureMember'][0]['GeoObject']['Point']['pos']
        params2 = {
           'geocode' : coord,
           'apikey' : 'f7fdea37-e088-4928-8638-5fddb296e08d',
           'format' : 'json',
           'kind' : 'district'
       }
        response2 = requests.get(URL, params=params2)
        district = json.loads(response2.text)['response']['GeoObjectCollection']['featureMember'][0]['GeoObject']['name']
    except:
        np.nan
    return(row, district)

district_dict = dict(map(request_coords, rests['address'].unique()))