Price: $59.99 - $49.99
(as of Sep 28, 2024 23:48:12 UTC – Details)
Product Description
【13KPa Powerfur Suction】 The Bed vacuum cleaner adopts the flapping mode to vibrate 16000 times per minute, which can effectively loosen the dust and dirt deep in the mattress, and the 13 KPa strong vacuuming mode can easily suck away the dust and dirt so that your clean and comfortable home
【Three-in-one function】 Bed vacuum cleaner adopts the three-in-one function of high-frequency flapping, strong suction, and purple light penetration, Combined with professional research to customize the U-shaped strong violet light tube, the irradiation intensity is greatly improved. making cleaning more convenient and thorough
【Easy to Use】HEPA filter can filter 99.99% of fine particles and small as 0.3 microns, The UV bed cleaner features a corded design (13.1 ft long) and a 0.2 liter dust cup for longer cleaning. The 3.5 lb weight of the whole machine and the ergonomic handle design can greatly reduce the labor intensity
【Low noise and Scope of Application】The bed vacuum can easily suck up pet hair and dander, etc. Suitable for fabric surfaces: such as mattresses, sheets, pillows, carpets, fabric sofas, etc. High-performance motor effectively wraps noise. Noise-canceling design won’t disturb sleeping babies or pets
【Washable & Visual Dust Box】 Mattress cleaner machine snap-on dust box, easy to remove and clean, can be cleaned directly under the faucet, regular cleaning without the hassle of weakened suction or clogged dust. Note: The filter needs to be used after drying
Attention: It is necessary to clean the Hai Pa in a timely manner, otherwise it will cause the machine to lose suction power.
Customers say
Customers like the ease of cleaning and ease of use of the vacuum cleaner. They mention it leaves surfaces clean and free of anything that may be there. However, some customers have reported that the product is a waste of money and time. They also have issues with the heat level and differ on functionality and suction power.
AI-generated from the text of customer reviews
Recent Comments