Best restaurants Nishitōkyō (JP)

Popular restaurants and hours for eating in Nishitōkyō Japan : Secure a table before rush hour at the most popular restaurants.

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

Ippachitei Ramen (Ramen restaurant)
2 Chome-1-23 Yagisawa Nishitokyo, Tokyo 202-0022 Japan
4.0

Visitors usually stay 30 min here. It's most quiet on Thursdays.

ラーメンとイタリアンのコラボを楽しめる店

For more info visit the website or checkout Google Maps.

武蔵野食堂 田無本店 (Italian restaurant)
Japan 〒188-0011 Tokyo, Nishitokyo, Tanashicho, 4 Chome−3−13
4.0

Visitors usually stay 1-2,5 hours here.

For more info visit the website or checkout Google Maps.

La Fontana Hana-Koganei shop (Italian restaurant)
ロイヤルパークス花小金井 1階 1 Chome-8-2 Hanakoganei Kodaira, Tokyo 187-0002 Japan
4.0

La Fontana Hana-Koganei shop is most popular around 7 PM on Sundays. Visitors usually stay 1-2,5 hours here. It's most quiet on Tuesdays.

本場イタリア産の小麦を使用した、店内仕込みの窯焼きPizza、こだわりのパスタソース、地元農家より直送の新鮮なお野菜が自慢のお店。 記念日にはメッセージ付きのドルチェプレートのご用意も御座いますので、ご予約の際にお申し付けください。

For more info visit the website or checkout Google Maps.

油そば5坪 (Ramen restaurant)
Japan 〒188-0012 Tokyo, Nishitokyo, Minamicho, 5 Chome−3−6
3.9

油そば5坪 is most popular around 7 PM on Fridays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kamokyu (Japanese restaurant)
4 Chome-15-48 Midoricho Koganei, Tokyo 184-0003 Japan
4.3

Visitors usually stay 45 min here.

For more info visit the website or checkout Google Maps.

チャンドラ・スルヤ (Indian restaurant)
2 Chome-16-10 Yatocho Nishitokyo, Tokyo 188-0001 Japan
4.3

チャンドラ・スルヤ is most popular around 1 PM on Saturdays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Thursdays.

Google Maps

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