All types
 
Français

Lakeshore Home & Office Cleaning

Establishment at 441 Railway Avenue, Belle River, Lakeshore, ON N0R 1A0, Canada. Here you will find detailed information about Lakeshore Home & Office Cleaning: address, phone, fax, opening hours, customer reviews, photos, directions and more.

Contacts

Categories:
Establishment  

Address:
441 Railway Avenue
Belle River
Lakeshore
Ontario N0R 1A0
Canada
Get directions

Phone:
+1 519-259-5127

Website:
lakeshorecleaning.ca

Opening hours

Sunday 08:00am — 07:00pm
Monday 08:00am — 07:00pm
Tuesday 08:00am — 07:00pm
Wednesday 08:00am — 07:00pm
Thursday 08:00am — 07:00pm
Friday 08:00am — 07:00pm
Saturday 08:00am — 07:00pm

Reviews of Lakeshore Home & Office Cleaning

Sorry, but now we haven't any revews about Lakeshore Home & Office Cleaning.

Add review

About lakeshorecleaning.ca

Home - Lakeshore Home & Office Cleaning

Share this page

Additional actions

Today's weather in Lakeshore

22:00 13 ℃ 1020 hPa 69 % 7 m/s

Nearest places

0SELECT * FROM `item` WHERE url = 'lakeshore-home-office-cleaning' LIMIT 1
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('16847') LIMIT 1
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('2414')
0SELECT * FROM `category` WHERE id IN ('96') LIMIT 1
0SELECT * FROM `locality` WHERE url = 'lakeshore-on' LIMIT 1
0SELECT * FROM `region` WHERE id = 176 LIMIT 1
1SELECT * FROM `reviews` WHERE `status` = 1 AND `item_id` = 2414 AND `date` < '2024-04-27 14:23:31' ORDER BY `date` DESC
0SELECT * FROM `photos` WHERE `item_id` IN ('2414')
0SELECT * FROM `item` WHERE id IN ('2471','2523','2423','2435','929','2540') LIMIT 6
0SELECT * FROM `region` WHERE id IN ('176') LIMIT 1
0SELECT * FROM `locality` WHERE id IN ('16847') LIMIT 1
0SELECT item_id, category_id FROM `category_item` WHERE item_id IN ('929','2423','2435','2471','2523','2540')
0SELECT * FROM `category` WHERE id IN ('96','120','121','99','116','97','126','127','104') LIMIT 9
0SELECT * FROM counts where updated="2024-04-27" and table_name like 'news'
0SELECT * FROM counts where updated="2024-04-27" and table_name like 'news'
1SELECT * FROM `category` ORDER BY name
1SELECT * 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 ('178','176') LIMIT 2
0SELECT * FROM `locality` WHERE id IN ('17724','17845','16641','16825') LIMIT 4
0SELECT * FROM `photos` WHERE `item_id` IN ('100066','100068','100069','100070')
0SELECT * 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