Feature:
*You will get brand new and high quality Wall Easy Folding Mesh Bag!
Super construction and materials make it a versatile basket perfect for your clothing or toys and sporting goods you want to store. There are many uses! Perfect for use at home, college, camping, hotel or traveling!
*This easy-to-open basket measures 14" x 14" x 23" when opened. When not in use, it folds flat or into a small flat circle (8" x ") for more compact storage! Great for travel - won't take up much space in your suitcase! Easy-to-follow folding instructions and demo pictures are included in the hamper!
*Double seam handle for easy carrying of the hamper. Unlike many and flimsy handles on the market, this won't tear!
*Accommodates a full load of laundry, making it a great space saver for any home. mesh material allows maximum air circulation to keep clothes fresh and reduce s. The bottom is made of sturdy polyester for durability. Includes a convenient side pocket for carrying supplies.
*Mesh pop-up laundry baskets are for college students living in residence halls and apartment dwellers who all have to bring dirty laundry and sheets to the laundry room - which may not necessarily be in their building. But they're also handy at home and on camping trips. Its mesh construction makes it breathable to eliminate dirty laundry and moisture. The convenient side pockets are large enough to store laundry detergent and fabric softener. Two sturdy handles make it easy to carry with hand.
Detail:
Material: Polyester
Color: orange, for pink, red, green, light blue, dark blue, purple
Dimensions: Open: 14" x 14" x 23"; Reduced: 8" x "
Uses: Used to store household items such as clothing and toys.
Quantity: 1Pcs High Quality Wall Easy Folding Mesh Bag
Package Contents:
Shipping List: 1Pcs High Quality Wall Easy Folding Mesh Bag
Notes:
. Due to various factors such as monitor brightness, light brightness, etc., the actual color of the product may be slightly different from the picture displayed on the website.
2. Please allow for slight manual measurement deviations in the data.