
Nancy Drew®: Labyrinth of Lies
Developer HeR InteractivePublisher HeR Interactive
Thread Your Way Through a Maze of Deceit in this Epic Greek Drama as detective Nancy Drew!
Top Sellers#6,585New
Updated Oct 18, 2026.
Wishlist RankNot ranked
Updated Oct 18, 2026.
Metadata synced: Oct 13, 2026 · Not queued
Prices & bundle history
Steam ↗$19.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews11274.10714285714286% positive
Recorded bundles0Checked · older than 24h
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 18, 2026 | #6,585 | - |
| Oct 12, 2026 | #4,983 | - |
| Oct 10, 2026 | #5,173 | - |
| Oct 8, 2026 | #5,423 | - |
| Oct 7, 2026 | #8,515 | - |
| Oct 6, 2026 | #6,858 | - |
| Oct 5, 2026 | #7,407 | - |
| Oct 4, 2026 | #5,957 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 13, 2026
Reviews
112 reviews
Tags
21 tags synced
Links
2 public links
Current players
0 players, updated Jul 19, 2026
Top Sellers
Rank #6,585
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
macOS, Windows
Steam recommendations
104
Review rating
Mostly Positive
Weighted score
74.0%
Current players
0
Achievements
Not synced
Metacritic
Not synced
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#6,585
New
Previous - - Updated Oct 18, 2026
Snapshot size: 9,049 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 18, 2026
Snapshot size: 5,260 rows.Steam public wishlist-rank order, not an exact private wishlist count.
Tags
Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.