ManchesterNYC Riddle Based Walking Adventure
NYC Riddle Based Walking Adventure is a 2-hour sightseeing tour in New York. £30.75 — 60% below the New York median tour price of £76.12, across 542 priced tours. It holds a 5.0 out of 5 rating from 1 reviews. Listed under Arts & Culture, History, Classes & Workshops, Tours & Sightseeing. The median tour price in New York is £76.12, measured across 542 priced tours. The 25th-percentile tour price in New York is £38.44, measured across 542 priced tours.
New York⏱ 2 hours★5.0(1 Rating)From £31
Discover Hidden Gems with Questing: NYC's Unique Riddle-Based Walking Tours!
Step off the beaten path and explore New York City in a way you never imagined with Questing, a phone-based walking-tour experience that blends history, adventure, and fun.
Perfect for team-building events, date nights, tourists, or locals, these tours lead you through the iconic streets of Greenwich Village, the Financial District, and Brooklyn Heights, uncovering secret spots and fascinating historical facts.
Start your journey at a cozy coffee shop, solve engaging puzzles, and finish with a celebratory drink at a local bar! It's the ultimate way to experience NYC’s charm while embracing your inner detective.
If you love scavenger hunts, escape rooms, geocaching, or just discovering the city’s hidden beauty, Questing is a must-do activity.
Key facts
- £30.75 — 60% below the New York median tour price of £76.12, across 542 priced tours.
- 1 h 30 min — 25% shorter than the New York median of 2 h, across 541 tours.
- The median tour price in New York is £76.12, measured across 542 priced tours.
- The 25th-percentile tour price in New York is £38.44, measured across 542 priced tours.
- The 75th-percentile tour price in New York is £192.22, measured across 542 priced tours.
- The median tour in New York runs 2 h, measured across 541 tours with a published duration.
- 98% of New York's 542 categorised tours carry the "Tours & Sightseeing" tag, the most common of 19 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