Events that suit this venue
Based on events our team has actually worked here.
- Weddings6
We have served 6 wedding events here, up to about 50 tables.
On the site visit, walk the couple’s entrance route and time the walk from the bridal room.
wedding venues in Taipei - Year-end & spring parties1
We have served 1 year-end party events here, up to about 50 tables.
Check stage size and the route winners take to the stage; book peak dates early.
year-end party venues in Taipei
Reviews
See all reviews台南海鮮會館的評論中,餐廳的空間寬敞舒適,適合各類聚餐活動,並且動線安排良好,讓用餐過程不會感到擁擠。餐點方面,海鮮新鮮且口味佳,菜色豐富且份量充足,受到食客的喜愛。然而,也有評論提到服務不佳的情況,包括訂位混亂和上菜速度緩慢,這影響了部分顧客的用餐體驗。整體來看,餐廳在食物和環境上表現良好,但服務方面仍有改進空間。
Show 5 original reviews
- lanya chen.8 個月前
這次公司的尾牙辦在台南海鮮會館,整體用餐體驗相當不錯,很適合舉辦聚餐或大型宴會。 餐廳空間寬敞,座位多,動線安排得宜,人多也不會覺得擁擠。整體環境乾淨,氣氛偏傳統宴會廳風格,辦活動很有感覺。 餐點部分 菜色豐富而且好吃,海鮮料理新鮮度不錯,口味也大眾接受度高,整桌吃下來沒有什麼踩雷的菜,份量也夠,大家都吃得很滿足。 服務人員表現很好,態度親切、出菜與收盤速度流暢,面對大型聚餐也能顧到基本需求,整體用餐過程順順的。 整體心得: ✔
- good okman.3 個月前
來到士林的 台南海鮮會館 用餐,餐廳位於地下一樓,一走下樓梯便能看見充滿歐式風格的造景與水瀑景觀,營造出典雅又大器的用餐氛圍。一進到餐廳寬敞舒適的空間,不論是家庭聚餐、親友歡聚,或是舉辦婚宴、公司聚會都相當適合。 這次享用了豐盛的一桌佳餚,包含湯品在內共九道主菜,另外還有小菜、水果與甜湯,每一道都展現出海鮮餐廳對食材的新鮮講究。綜合生魚片色澤鮮亮、口感細嫩鮮甜;鹽蒸蝦保留了蝦肉最原始的鮮味,肉質紮實彈牙;蒸九孔鮮嫩Q彈,每一口都吃得到
- 吳明.4 個月前
海鮮不用多說,真的都很鮮,開頭小菜小魚干就很下酒了,其它小菜也很可以,生魚片也是一口接一口,讓我驚艷的是螃蟹,第一次遇到殼可以輕鬆剝開完全沒有跟肉黏在一起,有夠讚,吃螃蟹吃的很過癮,總之就是推
- jerry wei.6 個月前
用餐環境舒適,海鮮食材新鮮,道地台菜料理,是AI教父招待賓客的欽點海產餐廳 澎湃的生魚片船、東坡肉、白斬雞和各式各樣海鮮料理⋯⋯每一道都看起來食指大動😋😋😋 #捷運劍潭站 #士林區美食
- Bobby C.4 個月前
多年前吃過 印象很不錯 上週又來吃 真的超級無敵讚 味道還是一樣的棒 超好吃
Summary generated by AI from the sources below. Ratings and reviews are provided by Google Maps. We do not edit review content.
Halls.1 halls
- 吉祥廳
Services provided here
- Mobile photo booth / instant print8 events
- Photo mosaic1 events
- Photo booth1 events
Counted from completed on-site events recorded by this directory; enquiries and unconverted leads are excluded.
Going with 台南海鮮會館? Three things next
Once the venue is booked it is the run sheet, the equipment check and the floor plan. We have all three ready.
Photos:台南海鲜會館/Google 地圖、Weng Tommy/Google 地圖、琳達/Google 地圖
Compiled from public sources and on-site records. Corrections are welcome.
Where does this data come from? Read the methodology