Purpleberry Inn

3.8 kmfrom the city center

from 7,475 ₽

  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn
  • Purpleberry Inn

Main amenities of the guest house

  • Free Internet
  • Parking
  • Air-conditioning

Location

  • Petrosains Science Discovery Centre • 2.7 km
  • Petronas Twin Towers • 2.7 km
  • Aquaria KLCC • 2.8 km
  • Kuala Lumpur Tower • 3.8 km
  • Jamek Mosque • 4.8 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

1 Jalan Nujum Kampung Datuk Keramat,Jalan Nujum, Kuala Lumpur

  • Places of interest
  • Petrosains Science Discovery Centre • 2.7 km
  • Petronas Twin Towers • 2.7 km
  • Aquaria KLCC • 2.8 km
  • Kuala Lumpur Tower • 3.8 km
  • Jamek Mosque • 4.8 km
  • Petaling Street • 4.9 km
  • Merdeka Square • 4.9 km
  • Sri Mahamariamman Temple • 5.0 km
  • National Zoo • 5.2 km
  • National Mosque • 5.5 km
  • Airports
  • Kuala Lumpur International Airport • 46.0 km
  • Sultan Abdul Aziz Shah Airport • 19.9 km

Description of the guest house

Location

The guest house comfort instead of a hotel! Guest house «Purpleberry Inn» is located in Kuala Lumpur. This guest house is located in 4 km from the city center. You can take a walk and explore the neighbourhood area of the guest house — Petrosains Science Discovery Centre, Petronas Twin Towers and Aquaria KLCC.

At the guest house

Free Wi-Fi is available on the territory. Ask for more information when checking in. If you travel by car, there’s a parking zone. Additional services that the guest house offers to its guests: a laundry.

Room amenities

Guests will find the following in the room: a shower and a TV. The room equipment depends on its category.

Facts about the guest house

Type of electrical socket

Type G

240 V / 50 Hz

What other amenities are there?

General

  • Air conditioning
  • Smoke-free property
  • Garden
  • Television in lobby
  • All Spaces Non-Smoking (public and private)

Rooms

  • Non-smoking rooms
  • Fridge
  • TV
  • Hairdryer
  • Shower
  • Linens
  • Toiletries

Services and amenities

  • Laundry

    paid for separately

Meals

  • Coffee/tea for guests
  • Microwave oven
  • Bottled water

Internet

  • Free Wi-Fi

Parking

  • Parking

Policies

Check-in terms and conditions

Check-in and check-out
Check-in
After 12:00
12:00
Check-out
Until 12:00
12:00

Additional information

Special check-in instructions
There is no front desk at this property.

Know Before You Go

  • Only registered guests are allowed in the guestrooms.
  • Social distancing measures are in place.

Fees

Mandatory Fees and Taxes

You'll be asked to pay the following charges at the property:

  • Cash deposit: MYR 100.0 per stay
  • A tax of MYR 10.00 per accommodation, per night is imposed by the country of Malaysia and collected at the property beginning January 1, 2023. Permanent residents and Malaysian nationals are exempt from the tax. For more details, please contact the property using the information on the reservation confirmation received after booking.

We have included all charges provided to us by the property.

Payment

In the guest house
In cash
In the currency of the guest house — 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.
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