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FIND THE HALLOWEEN SHIBUYA

FIND THE HALLOWEEN SHIBUYA

A Roblox experience owned by HALLOWEEN SHIBUYA.

ObbyENHalloweenShibuyaCollecting

Description (written by the developer; not a statement by this register)

Welcome to FIND THE HALLOWEEN SHIBUYA! This is like a Halloween theme park in Shibuya. 🧟 Find all of the characters hidden in Shibuya! 🪄 Cast trick magic on other players! 🕺 Dance with everyone on the dance floor! 📍 Latest Update (November 26th) - It's now a winter version with snow piled up. - Cosplay mannequins for trying on clothes have been added. - Friend referral rewards have begun. 📍 Update (November 12th) - Added new wand and magic sparkle types. - Three types of trick magic hit count boosts have been added. - Added hints to make Tamagotchi stickers easier to find. 🎃Tamagotchi and Beyblade X collabs happening now🎃 ⚠ Gamepad unsupported

Last updated by the developer 1 Mar 2026, 16:34 UTC.

0
playing (measured 13 Aug 2026, 19:50 UTC)
18,922
lifetime visits
85%
liked (47 👍 / 8 👎)
151
favourites (8.0 per 1k visits)
11 October 2025
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
13 Aug 2026, 19:500first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

WELCOME · welcome15,209 · 0.00% win
BEGINNER · welcome5,001 · 0.00% win
ADVANCED · other1,054 · 0.00% win
Tama Collaboration · other304 · 0.00% win
AWESOME · other274 · 0.00% win
The Star of Cleaning · other268 · 0.00% win
Pumpkin Star Jumper · other242 · 0.00% win

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.