Fujimotoso

Name: Fujimotoso
Address: 64 Mitakesan, Ome-shi, Tokyo, Tokyo, Tokyo, 198-0175, Japan
Rating: 0

55.5 kmfrom the city center

from 14,362 ₽

Location

Meiji Jingu Shrine • 51.0 km
Shinjuku Gyoen National Garden • 51.7 km
Tokyo Tower • 55.5 km
Tokyo Imperial Palace • 55.7 km
Ueno Zoo • 56.7 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

64 Mitakesan, Ome-shi, Tokyo

Places of interest
Meiji Jingu Shrine • 51.0 km
Shinjuku Gyoen National Garden • 51.7 km
Tokyo Tower • 55.5 km
Tokyo Imperial Palace • 55.7 km
Ueno Zoo • 56.7 km
Tokyo National Museum • 57.0 km
Tsukiji Fish Market • 57.4 km
Sensoji Temple • 58.9 km
Tokyo Sky Tree • 60.2 km
Tokyo Disneyland • 68.1 km

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

Additional information

From Mitake Station (JR Ome Line): Take the bus bound for Cable-shita and get off at Cable-shita (6 min). Then take the cable car from Hashimoto Station up to Mitakesan (Mt. Mitake) and get off there (6 min). 10 min on foot from there.
By car: Exit the Chuo Expressway at Hachioji IC and continue along Route 411 for about 15 km.

Payment

In the hotel

In cash
In the currency of the hotel — JPY

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