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Clean The Backrooms Library! 📖

Clean The Backrooms Library! 📖

A Roblox experience owned by Zayuh Games.

SimulatorENbackroomscleaning simulationhorror

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

🚧 BETA: This game is still in development and will get better over time with updates, polish, and new content! 📖 You are sent into the Backrooms Library… and the whole place is a disaster. Books are scattered everywhere, shelves are empty, and something is wandering between the aisles. Clean up the library by finding books and placing them back in the correct spots to earn points! 📚 Sort books and restore the library! ⭐ Earn points for every correct book placement! 💾 Your progress and library save, so you can come back and keep cleaning later! 🔓 Buy upgrades and abilities to make cleaning easier! 🪤 Unlock traps to slow down the monster temporarily! 👥 Play alone or with friends! But be careful… the monster is always roaming the library, waiting for the perfect moment to stop you. Can you clean the Backrooms Library before it finds you? 👀 ✨ Inspired by “Librarian: Tidy Up the Arcane Library” ✨

Last updated by the developer 7 Jul 2026, 10:04 UTC.

0
playing (measured 10 Aug 2026, 19:02 UTC)
6,898
lifetime visits
41%
liked (14 👍 / 20 👎)
287
favourites (41.6 per 1k visits)
2 July 2026
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 We do not publish numbers we have not measured.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
10 Aug 2026, 19:020first reading

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

Badge funnel

Complete the Library · collection0 · 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.