Mohe Inn

Name: Mohe Inn
Address: No.26, Cunhecun, He Cun Village, Huzhou, Huzhou, Huzhou, 313200, China
Rating: 0

30.6 kmfrom the city center

from 8,366 ₽

Main amenities of the guest house

Parking
Bar or restaurant
Pets allowed

Available rooms

Enter your dates of travel and we will display the current prices

No dates selected

If you don't know the specific dates yet, select approximate dates to see the price estimates.

Location

No.26, Cunhecun, He Cun Village, Huzhou

What other amenities are there?

General

Smoke-free property
Ticket assistance
No elevators
Reception desk

Services and amenities

Laundry
paid for separately
Safe-deposit box
Dry-cleaning
paid for separately
Luggage storage

Meals

Breakfast
Restaurant

Tourist services

Tour assistance

Parking

Free parking

Pets

Pets allowed

Policies

Check-in terms and conditions

Check-in and check-out

Check-in
After 14:00

14:00

Check-out
Until 12:00

12:00

Paid on the spot

Deposit

Deposit type	Price
-	500 CNY per room for the entire period of stay

Pets

Availability	Price
Any pets are allowed	100 CNY per each pet for the entire period of stay

Additional information

China has restrictions on geographic information data and uses a data blurring algorithm that adds random offsets to latitude and longitude data for national security purposes.

Payment

In the guest house

In cash
In the currency of the guest house — CNY

On the website

Some rates can be paid by bank card when booking online. You can use points to make a partial or full payment of your booking. You can pay for your booking by using a promo code if you have one.

The prices are lower in the mobile app

For corporate clients

If you'd like to pay for the order by wire transfer as a legal entity, please send an e-mail to corp@ostrovok.ru

Learn more

Mobile app

Our app has lower prices and more options! You can also pay by Apple Pay and Android Pay there. Besides, you can easily access your booking vouchers in your personal account even if you're offline.

Policy on storage and handling of personal data Recommendation technologies are used