Yandex Food is an app where you can find your favorite dishes from Burger Kin…
Mikromobilnost LLC BelgradeSome warnings 1 confirmed warning. Checked: 400 reviews, the Android app’s code, the store listing and the privacy label.
From our automated analysis, 27 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 26.40.0 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-27 .
The store lists the version as varying by device, updated 2026-10-07.
Store screenshots supplied by the developer.
Yandex Food is an app where you can find your favorite dishes from Burger King, ROSTIC'S, KFC, and Vkusno, as well as products from Yandex Lavka, Lenta, VkusVill, Azbuka Vkusa, Pyaterochka, Perekrestok, Magnit, and more.
Your first delivery is free.
Over 60,000 restaurants and stores in one app
Order groceries from hypermarkets for the whole week, or meat or fish from local markets if you want to cook something special for dinner. Or simply order your favorite restaurant dishes: pizza, burgers, wraps, and khinkali.
Yandex Food offers household goods, medicine, cosmetics, pet supplies, and flowers—all delivered right to your door.
Daily specials
Free deliveries, 20% off restaurant orders, "1 = 2" promotion, and a free meal. We've curated the best deals for you every day in the "Promotions" section.
We also offer a discount for first-time orderers.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Findings that met the published evidence standard.
Bundles 5 distinct ad networks / mediation SDKs: AppLovin MAX, Fyber / Digital Turbine Exchange, Google Mobile Ads (AdMob / Ad Manager), ironSource / Unity LevelPlay and 1 more
The package embeds several distinct advertising or mediation SDKs — a stack built for ad volume, not for a single house ad.
Package artefact
Appworthy
sha256:49241d1bcf1a3c279654d430890a16286d201630db839beb256d0c0902235456Specific evidence of a useful property, within the stated scope.
The developer's store data-safety disclosure states that data deletion can be requested; we have not seen a deletion control in the app's own text
The developer's data-safety disclosure on the store states that users can request deletion of their data, or the app's own text offers a way to delete the account. This restates what the developer declares; it is not a test of whether deletion works. Apple publishes no equivalent disclosure, so on an Apple-only listing only the app's own text can support it.
Open observations that have not cleared the evidence bar.
Sells a subscription in-app but ships no cancel or manage-subscription text of its own, leaving the store's settings as the only exit
This observation has not cleared the required evidence standard.
Cancelling the subscription is blocked, hidden, multi-step, or simply does not take effect.
Package artefact
sha256:49241d1bcf1a3c279654d430890a16286d201630db839beb256d0c0902235456The app's own text says: "A few restrictions apply to guests"
This observation has not cleared the required evidence standard.
The app's own screens offer a way past sign-up — guest access, skipping, or browsing before registering — rather than gating the product behind an account. The store's privacy disclosure is checked alongside it: that disclosure is self-reported, so it corroborates this credit rather than establishing it.
Package artefact
sha256:49241d1bcf1a3c279654d430890a16286d201630db839beb256d0c0902235456The app's own text says: "Enable Allow notifications"
This observation has not cleared the required evidence standard.
The app's own copy describes working without a connection — offline mode, downloading for offline use, or content saved for later. Shown because readers filter on it; it is a feature, not a fairness property, and never counts for or against an app.
Package artefact
sha256:49241d1bcf1a3c279654d430890a16286d201630db839beb256d0c0902235456No review-based observation is published in this assessment. That does not establish that reviewers had no problems.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 26.40.0, scanned 27 Oct 2026. These describe that package, not the current store version.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 26.40.0 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-27 .
The store lists the version as varying by device, updated 2026-10-07.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
google-ru-foodfox-clientAssessed 2026-10-27 from 400 user reviews, the app's package, the store listing and its privacy label.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
This assessment is produced automatically. Six independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.