Nancy Drew®: Shadow at the Water's Edge
Developer HeR InteractivePublisher HeR Interactive
Confront Terrifying Secrets in a Haunted Japanese Inn!
Top Sellers#5,467▲ 992
Previous #6,459 · Updated Oct 26, 2026.
Wishlist RankNot ranked
Updated Oct 26, 2026.
Metadata synced: Oct 4, 2026 · Not queued
Prices & bundle history
Steam ↗$19.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews42982.05128205128204% 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 26, 2026 | #5,467 | - |
| Oct 25, 2026 | #6,459 | - |
| Oct 24, 2026 | #3,461 | - |
| Oct 23, 2026 | #5,792 | - |
| Oct 22, 2026 | #6,611 | - |
| Oct 21, 2026 | #5,237 | - |
| Oct 20, 2026 | #5,654 | - |
| Oct 19, 2026 | #5,610 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 4, 2026
Reviews
429 reviews
Tags
20 tags synced
Links
2 public links
Current players
0 players, updated Jul 15, 2026
Top Sellers
Rank #5,467
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
415
Review rating
Very Positive
Weighted score
77.7%
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
#5,467
▲ 992
Previous #6,459 - Updated Oct 26, 2026
Snapshot size: 8,976 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 26, 2026
Snapshot size: 5,417 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.