Treat Quest 🎃🍬
A Roblox experience owned by Treat Quest Community.
SimulatorENHalloweenCandy CollectionSocial Competition
Description (written by the developer; not a statement by this register)
Welcome to Treat Quest! 🎃🍬 (formerly known as Trick or Treat, one of Roblox’s Halloween games back in 2018!) Grab your candy bag and hit the streets — it’s time to collect as much candy as you can! Knock on doors, explore spooky neighborhoods, and race your friends to see who can gather the biggest haul before the night ends. 💀 Collect tons of candy 👻 Explore haunted houses & neighborhoods 🎃 Unlock costumes and upgrades 🍬 Compete with friends for the sweetest stash Can you become the ultimate candy champion of Halloween night? ignore: trick or treat, candy hunt, Halloween, spooky, collecting, simulator, trick or treat, halloween, candy, spooky, haunted, pumpkin, scary, ghost, monster, skeleton, witch, vampire, haunted house, trick or treating, fall, october, horror, fun, friends, adventure, roleplay, simulator, tycoon, obby, scary night, creepy, fright night, costume, dress up, candy hunt, candy rush, trick quest, halloween 2018, nostalgia, treat quest, free admin, admin abus
Last updated by the developer 26 Sept 2025, 11:50 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 18 Aug 2026, 05:48 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.