Best open restaurants Ternopil on Thursday evening near you
Nearby open restaurants and hours for food in Ternopil Ukraine on Thursday evening: Secure a table before rush hour at the most popular open restaurants near you.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated restaurants.
(Restaurant)
Brodivs'ka St, 1аСТАРИЙ МЛИН - Музейна ресторація | Щедрі сніданки з 09:01 до 14:00 is most popular around 5 PM on Tuesdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
(Restaurant)
1 Сагайдачного вхід з, Tarasa Shevchenka BlvdKhinkalʹnya is most popular around 6 PM on Fridays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Torhovytsia St, 1аСімейна ресторація «ТРИ МИКОЛИ» is most popular around 7 PM on Fridays. Visitors usually stay 25 min to 3 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Biletska St, 1Maxim is most popular around 8 PM on Thursdays. Visitors usually stay 45 min to 3 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Danyla Halyts'koho Blvd, 4 Ternopil Ternopil Oblast, Ukraine 46011BIANCO is most popular around 6 PM on Thursdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.
Смачна італійська кухня
For more info visit the website or checkout Google Maps.
(Restaurant)
Tarasa Shevchenka Blvd, 5M'yaso is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Ternopil, Ukraine. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.