ManchesterCorsini Ceramics : Discover our Workshop and Decorate with Us
Corsini Ceramics : Discover our Workshop and Decorate with Us is a 3-hour sightseeing tour in Florence. £90.58 — 43% below the Florence median tour price of £159.59, across 593 priced tours. It holds a 5.0 out of 5 rating from 2 reviews. Listed under History, Tours & Sightseeing, Classes & Workshops, Budget Friendly. The median tour price in Florence is £159.59, measured across 593 priced tours. The 25th-percentile tour price in Florence is £94.03, measured across 593 priced tours.
Florence⏱ 3 hours★5.0(2 Rating)From £91
- Enters an artisan workshop active since 1957, in the heart of Chianti.
- Discover the processes and secrets of Tuscan ceramics up close.
- Choose the ceramic object to decorate
- Experience the most creative part: decorate with your own hands a custom ceramic object, followed by expert craftsmen. An authentic and unrepeatable memory, the result of your creativity.
- During the experience we will take some photos, which will be sent to you as a souvenir.
- End with a visit to the artisan shop, where you can admire Collections and unique handmade pieces.
An authentic experience that combines art and creativity, turning your visit into an unforgettable moment.
Let yourself be conquered by the real Tuscany: we are waiting for you in the heart of Chianti.
Key facts
- £90.58 — 43% below the Florence median tour price of £159.59, across 593 priced tours.
- 2 h 30 min — 17% shorter than the Florence median of 3 h, across 591 tours.
- The median tour price in Florence is £159.59, measured across 593 priced tours.
- The 25th-percentile tour price in Florence is £94.03, measured across 593 priced tours.
- The 75th-percentile tour price in Florence is £301.92, measured across 593 priced tours.
- The median tour in Florence runs 3 h, measured across 591 tours with a published duration.
- 97% of Florence's 593 categorised tours carry the "Tours & Sightseeing" tag, the most common of 16 categories in the city.
Figures are computed from our own dataset at build time; each line states the sample it is based on. How we calculate these