# This function loops through each restaurant dictionary in allRestaurants, grabs values for
# each restaurant which is then grouped into a Series that is appended to the DataFrame
for restaurantSet in allRestaurants:
    restaurants = restaurantSet['restaurants']
    for restaurant in restaurants:
        singleRow = [restaurant['restaurant']['name'],
               restaurant['restaurant']['location']['locality'],
               restaurant['restaurant']['location']['city'],
               restaurant['restaurant']['cuisines'],
               restaurant['restaurant']['average_cost_for_two'],
               restaurant['restaurant']['user_rating']['aggregate_rating'],
               restaurant['restaurant']['user_rating']['rating_text'],
               restaurant['restaurant']['user_rating']['votes']]
        newRow = pd.Series(singleRow, index=columns)
        restaurantTable = restaurantTable.append(newRow, ignore_index=True)

restaurantTable.index.name = 'id'
print(restaurantTable)