Best open cafes near you in Bekasi (ID)

Best open cafes near you in Bekasi Indonesia : 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.

AI
(Coffee)
Jl. Bulevar Bekasi CBD
4.6

Simetri Coffee Roasters Bekasi is most popular around 9 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Mondays.

Google Maps

(Cafe)
Jalan Jakarta Garden City Blok B2, 11, RT.11/RW.8, Cakung Tim., Kec. Cakung, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta 13910, Indonesia
4.5

Publika Eat and Coffee is most popular around 7 PM on Thursdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Saturdays.

Google Maps

(Breakfast restaurant)
Jl. Kalimalang Jemb. 2 No.52 RT.007/RW.003, Pekayon Jaya Kec. Bekasi Sel. Kota Bks, Jawa Barat 17148, Indonesia
4.7

MONO Music & Coffee is most popular around 9 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Tuesdays.

Google Maps

(Cafe)
Jl. Pd. Kelapa Raya No.80
4.5

BE-EM COFFEE, Pondok Kelapa is most popular around 5 PM on Sundays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Coffee)
Jl. Jatibening Ruko Rosewood No.01 RT.007/RW.002, Jatibening Baru Kec. Pd. Gede, Kota Bks, Jawa Barat 17412, Indonesia
4.7

Arung Coffee is most popular around 4 PM on Tuesdays. Visitors usually stay 10 min to 2 hr here. It's most quiet on Sundays.

Google Maps

(Bakery)
Jalan Raya Jati Makmur 3A Bekasi
4.5

Holland Bakery Jatimakmur is most popular around 7 PM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Fridays.

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 Bekasi, Indonesia. 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.