Makita VC3012M 240 V M Class Dust Extractor with Power Take-Off, 30 L Blue/Black

Product Information

The VC3012M motor head design integrates an area for tool storage during use and when in transport including innovative hose storage with 2 clamps on the back side of the tool box. The Makita VC3012M is a professional M Class grade wet and dry vacuum cleaner designed for demanding industrial and commercial cleaning applications. Regarding your security while on our site fraudulent measures are undertaken, such as 3D secure, address verifications and other fraud screening tools.

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We published a blog about why for professional work, you need a M-Class rated Dust Extractor which you should bear in mind when choosing a tool. is not responsible for reimbursement of any labour costs or project delays that may occur due to the receipt of damaged goods. The Makita VC301M wet and dry vacuum cleaner is approved for Dust Class M in accordance with the EU standard making this extractor ideal for professional use. The VC3012M M Class Dust Extractor has a powerful 1,200 watt motor, 1,800 watts with power take-off for both wet and dry vacuum cleaning.

High-Powered Motor: The VC3012M features a powerful 1,200-watt motor that delivers strong suction performance for efficient cleaning. Product dimensions are stated with a battery / batteries, if they affect the overall dimensions of the product. We will exchange or refund within the first 30 days if a manufacturers fault is found with this product.Durable Construction: Makita products are known for their durability, and the VC3012M is built to withstand the rigors of industrial use. Large Capacity: The VC3012M has a generous dust collection capacity of 30 liters, allowing for extended cleaning without frequent interruptions for emptying. years warranty as standard but if registered online within 30 days online at Makita can be extended to 3 years warranty. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data.