OYO Home 90851 Rb Homestay & Farms 2

Name: OYO Home 90851 Rb Homestay & Farms 2
Address: Lot 170, Kuching, Bahagian Kuching, Sarawak, Malaysia, Kuching 2, Kuching, Kuching, Kuching, 93000, Malaysia
Rating: 0

17 kmfrom the city center

from 1,730 ₽

Main amenities of the hotel

Air-conditioning

Location

Kuching International Airport • 26.0 km

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

Lot 170, Kuching, Bahagian Kuching, Sarawak, Malaysia, Kuching 2, Kuching

Airports
Kuching International Airport • 26.0 km

Description of the hotel

Location

You’ll be sleeping tight! Hotel «OYO Home 90851 Rb Homestay & Farms 2» is located in Kuching. This hotel is located in 17 km from the city center.

Room amenities

Here’s what you’ll find in the room to have a rest after a long day: a TV. The room equipment depends on its category.

Facts about the hotel

Type of electrical socket

Type G

240 V / 50 Hz

Number of rooms

5 rooms

What other amenities are there?

General

Air conditioning

Rooms

Non-smoking rooms
Cable TV
TV

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

Payment

In the hotel

In cash
In the currency of the hotel — MYR

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.

In the mobile app

Get an extra discount when you log in.

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