Philippines

Features:

*Detachable Roller Brush Kit For Xiaomi Roborock S6 S5 Max S60 S65 Vacuum Cleaner
*100% brand new and high quality
*Made of high-quality materials, more durable
*Exquisite and delicate, highly match with the equipment
*Both ends of the detachable roller brush can be detached and easy to clean. The soft fur adopts a special material to protect the floor and has a long service life.
*The soft silicone side brush is made of silicone, which can thoroughly clean without leaving marks on furniture or walls, and has a longer service life than a side brush using nylon bristles
*The filter can maintain the cleaning performance of the sweeper, while reducing the penetration of dust, pollen and other allergens into the air you breathe
*The mop cloth has a strong and long-lasting cleaning power, which can easily handle various stains such as footprints on the floor, juice residue, and oil stains.
*As part of normal maintenance, it can be easily removed and replaced
*It is recommended that you replace spare parts every 2 to 3 months depending on the frequency of use to keep the machine running at its best

Specifications:

*Compatible models: For Xiaomi Roborock S6 S5 Max S60 S65 S5 S50 S55 E25 E35
*Color: As Pictures Show

Package Contents (optional):

Package 1#:

1*Detachable roller brush
2*Black soft silicone brushes
4*Water cores
3*Filters
2*Mop cloths
1*Cleaning brush
1*Screwdriver

Package 2#:

1*Detachable roller brush
2*White soft silicone brushes
4*Water cores
3*Filters
2*Mop cloths
1*Cleaning brush
1*Screwdriver

Package 3#:

2*Detachable roller brushes
3*Black soft silicone brushes
4*Water cores
4*Filters
2*Mop cloths
1*Cleaning brush
1*Screwdriver

Package 4#:

2*Detachable roller brushes
3*White soft silicone brushes
4*Water cores
4*Filters
2*Mop cloths
1*Cleaning brush
1*Screwdriver

Note:
1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2.Please allow slight manual measurement deviation for the data.

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