Best parks and nature in Ōsaka (JP)

Unwind in Ōsaka Japan Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

Motohama Ryokuchi (Park)
1-chome Motohamacho Amagasaki, Hyogo 660-0085 Japan
4.0

Motohama Ryokuchi is most popular around 2 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Hoshida Park (Park)
5019-1 Hoshida Katano, Osaka 576-0011 Japan
4.3

Hoshida Park is most popular around 1 PM on Sundays. Visitors usually stay up to 2.5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Takatsuki Castle Park (Park)
3 Jonaicho Takatsuki, Osaka 569-0075 Japan
4.0

Takatsuki Castle Park is most popular around 2 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Suigetsu Park (Park)
3 Chome-6 Hachizuka Ikeda, Osaka 563-0024 Japan
4.2

Visitors usually stay up to 1.5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Nada Maruyama Park (Park)
Maruyama Gomo Nada Ward, Kobe, Hyogo 657-0801 Japan
4.2

Nada Maruyama Park is most popular around 11 AM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Yaenosato Park (Park)
4 Chome-7 Nakakosaka Higashiosaka, Osaka 577-0804 Japan
3.7

Yaenosato Park is most popular around 12 PM on Sundays. Visitors usually stay up to 4 hours here. It's most quiet on Tuesdays.

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 Ōsaka, 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.