Replacement Cleaning Pads Fit For Clean & For Steam Models 2PC Set

Features: *Package Included This set includes 1 blue striped cloths, 1 gray striped cloths, perfect for dry or wet use, meeting all your cleaning needs. *- materials Steam cleaner accessories is made of - microfiber, which is highly absorbent. It is also equipped with a telescopic strap to keep it firmly attached to the mop. * for Multi-use Steam cleaner accessories are suitable for many types of floors, including for tile, glass, stone, concrete, laminate, marble and hardwood floors, among others. *Quick cleaning and drying Thanks to its microfiber material, steam machine accessories for ensure quick and efficient cleaning and drying after use, saving you time and effort. *Compatible for Clean& Steam Cloths are compatible with the following for Clean& Steam models: RY7517WH, RY7535WH, RY7557WH, RY7577WH, RY7585WH, RY7591WH, RY7597WH, RY7731WH, RY7757WH, RY7777WH, RY8544WH, and RY8561WH. *Maintain Clean and Floors:With regular use of the replacement part, you can maintain clean and floors. It is perfect for homes with pets and , a better living environment. *Sturdy Material:Made of - materials, the replacement part is long-lasting and sturdy, not easy to break and for providing long for service life. *Easy Installaltion:No need for professional help or additional tools. Our components are designed for direct replacement, making installation quick and effortless.

Specifications: *Product Name:Mop Cloth *Material:Microfiber *Size:As shown *Color:As shown *Fitment:for Clean& Steam Cloths are compatible with the following for Clean& Steam models: RY7517WH, RY7535WH, RY7557WH, RY7577WH, RY7585WH, RY7591WH, RY7597WH, RY7731WH, RY7757WH, RY7777WH, RY8544WH, and RY8561WH. *Number of Pieces: 2Pack

Package Content:

for 2* mop cloths

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.

for 2. Please allow slight manual measurement deviation for the data.