All types
 
Français

Puja Nayyar Spic & Span Dry Cleaners

Establishment and laundry at 110 Bearbrook Road, Gloucester, Ottawa, ON K1B 5R2, Canada. Here you will find detailed information about Puja Nayyar Spic & Span Dry Cleaners: address, phone, fax, opening hours, customer reviews, photos, directions and more.

Contacts

Categories:
Establishment   Laundry  

Address:
110 Bearbrook Road
Gloucester
Ottawa
Ontario K1B 5R2
Canada
Get directions

Phone:
+1 613-834-5925

Opening hours

Monday 08:00am — 06:00pm
Tuesday 08:00am — 06:00pm
Wednesday 08:00am — 06:00pm
Thursday 08:00am — 06:00pm
Friday 08:00am — 06:00pm
Saturday 09:00am — 03:00pm

Reviews of Puja Nayyar Spic & Span Dry Cleaners

Sorry, but now we haven't any revews about Puja Nayyar Spic & Span Dry Cleaners.

Add review

Share this page

Additional actions

Today's weather in Ottawa

22:00 2 ℃ 1023 hPa 40 % 2 m/s

Nearest places

0SELECT * FROM `item` WHERE url = 'puja-nayyar-spic-span-dry-cleaners' LIMIT 1
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('17033') LIMIT 1
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('435403')
0SELECT * FROM `category` WHERE id IN ('96','156') LIMIT 2
0SELECT * FROM `locality` WHERE url = 'ottawa-on' LIMIT 1
0SELECT * FROM `region` WHERE id = 176 LIMIT 1
1SELECT * FROM `reviews` WHERE `status` = 1 AND `item_id` = 435403 AND `date` < '2024-04-25 04:02:38' ORDER BY `date` DESC
0SELECT * FROM `photos` WHERE `item_id` IN ('435403')
0SELECT * FROM `item` WHERE id IN ('434601','435209','433477','434749','435851','436269') LIMIT 6
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('17033') LIMIT 1
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('433477','434601','434749','435209','435851','436269')
0SELECT * FROM `category` WHERE id IN ('96','130','131','97','118','99','150','111') LIMIT 8
0SELECT * FROM counts where updated="2024-04-25" and table_name like 'news'
0SELECT * FROM counts where updated="2024-04-25" and table_name like 'news'
0SELECT * FROM `category` ORDER BY name
2SELECT * FROM `item` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `item`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 4
0SELECT * FROM `region` WHERE id IN ('168') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('14578','14611','14622') LIMIT 3
0SELECT * FROM `photos` WHERE `item_id` IN ('331943','331944','331945','331946')
1SELECT * FROM `locality` f JOIN ( SELECT RAND() * (SELECT MAX(id) FROM `locality`) AS max_id ) AS m WHERE f.id >= m.max_id ORDER BY f.id ASC LIMIT 7
0SELECT * FROM `region` WHERE id IN ('168') LIMIT 1