Apartman 4 YOU 2.

1.7 kmfrom the city center
227 mfrom subway station Fővám tér

from 6,507 ₽

This hotel has no photos

Location

  • Great Market Hall • 160 m
  • Fővám tér • 230 m
  • Kálvin tér • 340 m
  • Kálvin tér • 380 m
  • Hungarian National Museum • 470 m

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

Budapest City Centre, Váci utca 79, Budapest

  • What's nearby
  • Great Market Hall • 160 m
  • Hungarian National Museum • 470 m
  • Gellert Baths • 610 m
  • Elisabeth Bridge • 640 m
  • Rudas Baths • 700 m
  • Liberty Statue • 700 m
  • Citadella • 850 m
  • Dohany Street Synagogue • 860 m
  • St. Stephen's Basilica • 1.4 km
  • Chain Bridge • 1.5 km
  • Places of interest
  • Fisherman's Bastion • 2.3 km
  • Hungarian Parliament Building • 2.4 km
  • City Park • 3.4 km
  • Budapest Zoo • 3.8 km
  • Szechenyi thermal bath • 3.9 km
  • Airports
  • Budapest Ferenc Liszt International Airport • 16.6 km
  • Subway
  • Kálvin tér • 340 m
  • Kálvin tér • 380 m
  • Fővám tér • 230 m

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 apartment
In cash
In the currency of the apartment — HUF
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
logo

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.

AppStoreGooglePlayHuawei AppGallery
Policy on storage and handling of personal dataRecommendation technologies are used