Rome Vespa 125cc Daily Rental
Rome Vespa 125cc Daily Rental is a 3-hour sightseeing tour in Rome. £56.06 — 57% below the Rome median tour price of £129.39, across 587 priced tours. It holds a 5.0 out of 5 rating from 10 reviews. Listed under Tours & Sightseeing, Food & Drink, History, Budget Friendly. The median tour price in Rome is £129.39, measured across 587 priced tours. The 25th-percentile tour price in Rome is £69.01, measured across 587 priced tours.
Rome⏱ 3 hours★5.0(10 Rating)From £56

Expert Support: Our friendly staff will provide a comprehensive orientation to ensure you’re comfortable and confident on your Vespa.
With Top-Quality Scooters: Regularly serviced and inspected for optimal performance.
Best Local Insights: Get recommendations for routes, eateries, and attractions.
Explore Rome's historic streets, vibrant neighborhoods, and stunning landmarks on a Vespa 125cc – the quintessential Roman adventure awaits! Freedom and Flexibility that will create your itinerary and explore at your own pace.
Convenient Pickup Location in the central location for easy access with 24/7 Roadside Assistance. No worries, We’re always here to help if you need us.
Driver’s License: A valid license and experience driving a scooter/motorcycle is required.
Age Requirement: Must be at least 18 years old.
Security Deposit: Refundable deposit of € 400 through credit card is required at pickup.
Key facts
- £56.06 — 57% below the Rome median tour price of £129.39, across 587 priced tours.
- 3 h — the same as the Rome median of 3 h, across 580 tours.
- The median tour price in Rome is £129.39, measured across 587 priced tours.
- The 25th-percentile tour price in Rome is £69.01, measured across 587 priced tours.
- The 75th-percentile tour price in Rome is £286.40, measured across 587 priced tours.
- The median tour in Rome runs 3 h, measured across 580 tours with a published duration.
- 99% of Rome's 587 categorised tours carry the "Tours & Sightseeing" tag, the most common of 17 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