You can check the price history of Chopper for Kitchen Use 1000 ML, Push Chopper with 4 Blades, Vegetable Chopper Kitchen Items for Home Cutting Vegetables, Onion, Ginger, Garlic, Salad, Tomato, Potato Free Scrubber here. This product's current Price in India is ₹199. The average and highest prices are ₹199 and ₹199 respectively. The current offer price of the product is ₹239.
Lowest Ever Price
₹199
13th Aug 2026
Average Price
₹199
Based on 8 days price tracking
Highest Price
₹199
13th Aug 2026
Current Price in India
Price
₹199
MRP
₹1,299
Savings
₹1,100
Discount
84.68%
Product Information
Details
Product Name
Chopper for Kitchen Use 1000 ML, Push Chopper with 4 Blades, Vegetable Chopper Kitchen Items for Home Cutting Vegetables, Onion, Ginger, Garlic, Salad, Tomato, Potato Free Scrubber
Store Product Code
B0H1XNN55P
Store Name
amazon.in
Brand
KITCHENOL
Rating
9.6 / 10
Category
Manual Choppers & Chippers
Product Manufacturer
RG BUDGET
Dimensions
12L x 12W x 15H Centimeters
Country of Origin
India
Features
MANUAL PUSH CHOPPER: This hand-press food chopper lets you chop onions, tomatoes, salad, and other vegetables quickly without any electricity.
5 STAINLESS STEEL BLADES: Equipped with 5 sharp circular stainless steel blades of 8.5 cm length for efficient and uniform chopping every time.
LARGE 1000 ML CAPACITY: The spacious transparent bowl holds up to 1000 ml, making it ideal for preparing large quantities of chopped vegetables in one go.
EASY TO CLEAN: All parts are dishwasher safe, making cleanup after use simple and hassle-free with minimal effort required.
COMPACT DIMENSIONS: Measures 12 x 12 x 15 cm and weighs only 450 grams, making it lightweight and easy to store in any kitchen.
Images
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Rating and Reviews
9.6Based on 6 reviews
Chopper for Kitchen Use 1000 ML Push has 9.6 rating out of 10. This average rating is consist of 6 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.