seo.product_h1
Honey filter is made of high-quality metal circle and fine fiber gauze, which is flexible and sturdy, perfect for screening small particles and unwanted impurities.
Topelio Score
Poor
Product with limited performance. Critical point: review count.
Score Breakdown
Average Amazon user rating
Volume and reliability of reviews
Consistency of price history
Stock reliability
Truthfulness of advertised discounts
Updated 4 ะผััััั ัะพะผั
- Honey filter is made of high-quality metal circle and fine fiber gauze, which is flexible and sturdy, perfect for screening small particles and unwanted impurities.
- Size: 35cm diameter, funnel shape design, easy to operate, directly cover the metal ring of the filter on the honey barrel, and then pour the honey into the filter.
- The holes in our honey filter are very fine and small, so it takes a long time to let honey pass through and get high purity honey.
- It can be washed and reused. After each use, please wash it with warm water and hang it to dry. It is a good helper for professional beekeepers or beginners to extract clean honey.
- Multi-purpose: fine mesh sieve honey strainer net can be used not only for making home made honey filtration, but also for wine filtration, milk filtration, nut filtration and so on.
User Reviews
Be the first to review
Total Cost of Ownership
Estimate the real cost over the product's lifetime.
Cost breakdown
Cost details
Calculating...
Estimates based on average data. Actual costs may vary depending on usage and local rates.
Product History
Product added to Topelio
Ce produit a รฉtรฉ ajoutรฉ ร notre catalogue
Key Specifications
Specifications
- Size
- onesize
- Color
- White
Product Info
- Brand
- TINAYAUE
- Sales Rank
- #114,830
- Identifiers
- ASIN
- B0C99B9GNM
Price trend analysis
N/A
Trend unknown
Insufficient data to analyze price trend.
Our recommendation
We recommend monitoring price evolution before buying. Set a price alert to be notified of drops.
Best time: Wait a few days to observe evolution
Price predictions
7 days
Cannot predict
confidence