Best open cafes near you in Sumida on Friday afternoon (JP)
Best open cafes near you in Sumida Japan on Friday afternoon: Find your ideal quiet or bustling cafe nearby you.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated cafes.
(Bakery)
2 Chome-4-1 Azumabashi Sumida City, Tokyo 130-0001 Japanpain･maison Sumida Asakusa Dori Street is most popular around 3 PM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Coffee)
グランコピエ浅草雷門 2 Chome-16-7 Kaminarimon Taito City, Tokyo 111-0034 JapanStarbucks Coffee - Asakusa Kaminarimon-dori Street is most popular around 12 PM on Saturdays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Coffee)
Japan 〒111-0036 Tokyo, Taito City, Matsugaya, 3 Chome−1−12Visitors usually stay up to 1 hour here.
空間デザインのプロフェッショナルが手掛けた特別な空間で、スペシャルティコーヒーを中心に、こだわりのメニューを提供しています。
テラス席（１席）はワンちゃんと一緒にご利用できます。(ラストオーダーは17:30です。)
For more info visit the website or checkout Google Maps.
(Bakery)
10 江東区Cattlea is most popular around 11 AM on Saturdays. Visitors usually stay 5-30 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Coffee)
4 Chome-26-12 Kotobashi Sumida City, Tokyo 130-0022 JapanCafé Knit is most popular around 1 PM on Mondays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Thursdays.
(Coffee)
スプラウト日本橋浜町 1F 3 Chome-16-7 Nihonbashihamacho Chuo City, Tokyo 103-0007 JapanSingle O Hamacho is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 3,5 hr here. It's most quiet on Saturdays.
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 Sumida, 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.