privacybench

Self-declared data App Store privacy labels are self-declarations made by each app's developer. They are not verified by Apple, and they are not verified by this site. A high score means an app declares collecting a lot — not that it was caught doing anything.

Hinovel - Любимые книги здесь! app icon

Hinovel - Любимые книги здесь!: privacy label

HONG KONG RiMing TECHNOLOGY LIMITED · View on the App Store

Privacy score 5.2/ 100 Grade A Little or no declared collection. Declining in US ratings

Does Hinovel - Любимые книги здесь! track you?

The privacy label says 1 data type is used to track you across other companies' apps and websites. The privacy score is 5.2 out of 100, grade A. 66% of Book apps declare less.

Label last read 04 Nov 2026.

The label at a glance

Hinovel - Любимые книги здесь! declares 2 of Apple's 16 data types, for 2 purposes. 1 is used to track you across other companies' apps and websites.

  • Used to track you 1
  • Linked to you 0
  • Not linked to you 1
  • Not declared 14

Each type is counted once, under the most sensitive group it's declared in.

Against other Book apps

66%of Book apps declare less
#2823of 8,683, most declared first
4.4category average score
28%of the category declares tracking

Most-rated Book apps →

Score over time

0.050.0100.0 07 Sep: 5.2 score21 Sep: 5.2 score28 Oct: 5.2 score04 Nov: 5.2 score 07 Sep 04 Nov

No label changes since we started tracking it, first seen 07 Sep 2026.

In the full report

  • All 2 data types, each with its group and purpose, down to Apple's finer detail
  • How it compares, type by type, with every other Book app
  • Label changes, what was added or removed and when
  • App Store listing data: privacy policy link, background location, in-app purchases, accessibility, release cadence

See plans for the full report

Book apps that declare less

The most-rated apps in the category with a lower score.

History of changes

Changes on record: 5. Last one: 05 Nov 2026.

Scores come from the developer's own App Store privacy label, weighted by one published formula. A higher score means the app says it collects more. How the score is made.