Fun things to do Sakai on Wednesday evening (JP)

Popular days & hours to visit attractions in Sakai Japan on Wednesday evening.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated sightseeing spots.

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Sarasa no Yu Kuramae Onsen (Other)
1 Chome-3-5 Kuramaecho Kita Ward, Sakai, Osaka 591-8004 Japan
3.9

Sarasa no Yu Kuramae Onsen is most popular around 9 PM on Saturdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Gran Kicona Sakai (Other)
1 Chome-7-1 Okinabashicho Sakai Ward, Sakai, Osaka 590-0061 Japan
2.5

Gran Kicona Sakai is most popular around 7 PM on Saturdays. Visitors usually stay 2-4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Otori Park (Park)
5 Chome-658-4 Otoriminamimachi Nishi Ward, 堺市西区 Osaka 593-8325 Japan
3.7

Otori Park is most popular around 8 PM on Fridays. Visitors usually stay up to 15 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Fureai Onsen Yata (Other)
6 Chome-3-16 Yata Higashisumiyoshi Ward, Osaka, 546-0023 Japan
4.0

Fureai Onsen Yata is most popular around 6 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

浅香山緑道 (Park)
3.9

It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Asakayama Park (Park)
1 Chome-7-82 Hikinocho Higashi Ward, Sakai, Osaka 599-8104 Japan
3.7

Asakayama Park is most popular around 5 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Sakai, Japan. 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.