BISSELL CrossWave OmniFind Wet Dry Vacuum 3967: Cordless, Pet Hair Pick Up
Buy BISSELL CrossWave OmniFind Wet Dry Vacuum 3967: Cordless, Pet Hair Pick Up
When you make a purchase through links on our site, we may earn an affiliate commission.
BISSELL CrossWave OmniFind Wet Dry Vacuum 3967: Cordless, Pet Hair Pick Up | $199.99 |
BISSELL® CrossWave® OmniFind™ multi-surface cleaner combines cleaning tasks to let you vacuum and mop at the same time. Enjoy up to 25 minutes* of cordless cleaning power, so you can clean your home without being tied to an outlet. FurFinder™ headlights allow you to easily find pet hair, dirt, and messes while Tangle-Free Technology reduces pet hair wrap and clogging. CrossWave® OmniFind™ allows you to safely and effectively clean hard surfaces and refresh area rugs while Two Tank Technology keeps clean and dirty water separate, so unlike mopping, you are always cleaning with fresh water and solution. With the touch of a button, the self-cleaning cycle cleans the brush roll and inside of the machine after you’re finished so there’s less clean-up after the clean. Every purchase of a BISSELL® product helps us donate directly to BISSELL Pet Foundation® to fund its mission of saving pets in need. Since 2011, we have donated over $26 million in support of BISSELL Pet Foundation®. *May vary based on mode and usage. **Kills 99.9% of Enterobacter aerogenes (ATCC 13408), Staphylococcus aureus (ATCC 6538)(Staph) and Salmonella enterica (ATCC 10708).
Product description is based on database from online stores. Be sure to verify all information directly with seller before purchasing.
How to choose a steam cleanerLet's figure out what types of steam cleaners exist, what they are needed for and what to look for when buying
TOP devices for a home with petsHousehold appliances that will help you get rid of hair, purify and humidify the air and spy on your pet
How to place an order?How to add store?
Remember that online store is responsible for accuracy of information about price, warranty and delivery!
We recommendCompare using chart →