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No—not every YouTube API record must disappear after 30 days. YouTube’s policy uses different rules for authorized data, non-authorized data, and a narrow class of authorized statistics. For most data, the requirement is to delete or refresh it within 30 calendar days; some approved statistical data can remain longer under continuing checks. User deletion requests and authorization revocations create separate deadlines.
That makes a “database that forgets” a sensible engineering response, not a database design mandated by YouTube. The policy defines retention, freshness, presentation, and deletion outcomes; your service must choose the schema and jobs that reliably produce those outcomes.
Do I really have to delete YouTube API data after 30 days?
The current YouTube API Services Developer Policies, reported as updated June 24, 2026 UTC, do not impose one blanket 30-day deletion timer. They distinguish the data category and the authorization behind it.
| Data category | What the policy allows | What ends the retention window |
|---|---|---|
| Most authorized API data outside a listed exception | Keep it only as long as necessary for the purpose covered by active user consent. | After 30 calendar days, delete or refresh the stored data. |
| Limited non-authorized data | Store temporarily as needed for the API client’s purpose. | Delete or refresh it no later than 30 calendar days. |
| Specified authorized statistics | May be retained beyond 30 days when the applicable permission and checks remain in place. | At least every 30 days, confirm authorization is still valid and that the underlying video has not been deleted. |
The policy’s wording is explicit: “After 30 calendar days, the API Client must either delete or refresh the stored data.” A refresh is not a general license to keep ordinary records forever; the longer-retention treatment is limited to the specified authorized statistics.
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Which YouTube API data can be kept longer than 30 days?
A narrow statistics exception
The exception concerns certain authorized statistical data, not every field returned by the API. Continued storage requires recurring authorization and a check that the source video still exists. If either condition fails, the record needs the appropriate deletion or access-handling path.
Who can use the 2026 derived-metrics policy?
The official revision history records additional policies for derived metrics and data storage on May 4, 2026, followed by clarification on June 1, 2026. The related derived-metrics policy applies to audited developers with analytics use cases who expressly applied for permission to create additional metrics and/or store statistical data through the standard quota-extension request. An ordinary, unaudited project should not assume that permission.
What still follows the ordinary rule?
Video titles, creator names, descriptions, comment text, and other data not covered by the special statistical permission remain subject to the normal refresh-and-deletion policy described above.
Deletion requests and revoked access have their own clocks
An age-based cleanup job is not enough. Two user-controlled events require separate handling:
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problems| Trigger | Required response | Maximum period stated by the policy |
|---|---|---|
| User asks the client to delete the data | Delete it as soon as possible. | Within 7 calendar days. |
| User revokes authorization | Delete data covered by the revoked access as soon as possible. | Within 30 calendar days. |
The deletion-request wording on the policy page says: “If the user indicates that you should delete that data, you must then delete it as soon as possible and within 7 calendar days.” The compliance guide also expects a user-facing way to request deletion, so the request path should be visible and usable rather than an internal support procedure known only to developers.
Retention does not permit stale or misleading displays
Storage and presentation are separate obligations. The Developer Policies require reasonable efforts to keep stored API data consistent with the current data available through YouTube API Services. The same page states: “In all cases, API Clients must use reasonable efforts to ensure that their stored API Data is consistent with the current data available through YouTube API Services.”
- For a current-status screen, show the most updated API data available to the client.
- If you show historical values, label them accurately in their time context instead of presenting an old snapshot as current.
- Do not use a permitted retention period as a reason to serve known-stale titles, ownership information, comments, or statistics.
A timestamped history can therefore be useful, but only when retaining that history is otherwise permitted for the particular data category.
How to design a database that forgets safely
YouTube does not prescribe a table layout, cleanup frequency, backup strategy, or job framework. The following is an implementation pattern for meeting the policy outcomes; it is not a required YouTube schema.
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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →1. Classify every stored value
Store enough metadata to determine which rule applies before a cleanup decision is made. A record or related control table commonly needs:
- Data category, such as authorized API data, non-authorized data, or an approved statistical metric.
- The user or authorization relationship that permitted access, including whether it is currently active.
- Whether a special analytics permission applies and when that permission was last verified.
- Source video identifier and retrieval timestamp.
- Last successful refresh time and the next required action deadline.
- Deletion-request and revocation status, with an audit timestamp.
Keep this control information separate from the payload if that makes deletion and auditing safer, but ensure a deletion operation can find every copy and derivative that your service controls.
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2. Schedule work before a deadline
Use a recurring worker, queue, or equivalent mechanism to identify records approaching their applicable deadline. For an ordinary record, the worker should either fetch a permitted refresh or delete the value. A failed refresh should not silently reset the age clock.
3. Treat deletion requests as priority events
When a user requests deletion, create an idempotent job that locates primary rows, caches, search indexes, exports, and derived values created from the requested data. Record completion and retry failures until the service’s controlled copies are removed. The policy sets the outcome and timing; it does not prescribe how replicas or backups must be implemented.
4. Process authorization revocation separately
Revocation should invalidate the authorization state immediately in your application and launch the corresponding deletion workflow. Do not wait for the ordinary age-based worker to notice it.
5. Add the special checks for retained statistics
For an approved statistical record retained beyond the ordinary period, run two independent checks at least every 30 days: confirm that access remains authorized and verify that the source video has not been deleted. A successful refresh of the metric alone does not satisfy both checks.
6. Make the display layer freshness-aware
Expose retrieval times and historical context in the data model so the interface can distinguish a current value from a dated observation. If a refresh fails or authorization changes, suppress or remove the affected value rather than presenting it as current.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical decision matrix
| Question | Why it matters | Implementation consequence |
|---|---|---|
| What data category is this? | The retention treatment differs for approved statistics, other authorized data, and non-authorized data. | Assign a policy class before writing the record. |
| Is the relevant authorization active? | Ordinary authorized storage depends on the user’s consent, and retained statistics require continuing authorization. | Store authorization state and recheck it on schedule. |
| Was a special analytics permission granted? | The extended statistical treatment is not automatic for every project. | Require an explicit permission flag and evidence of its verification. |
| What triggered the work? | Normal aging, a deletion request, and revocation have different handling paths. | Use distinct event types and deadlines instead of one generic expiry field. |
| How will the value be shown? | Current displays must use the latest available data; historical displays need accurate time context. | Persist retrieval timestamps and apply freshness rules at presentation time. |
What the 2026 policy changes do—and do not—mean
The 2026 revision entries and derived-metrics page describe a route for audited analytics developers to request permission for additional metrics and statistical storage. They do not convert every API client into an approved long-term data store, and they do not exempt ordinary metadata or comment content from the normal policy.
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If your project has not received the applicable approval, design for the ordinary retention treatment and treat any request for extended storage as unresolved until permission is actually granted.
Compliance controls beyond retention
The compliance guide says a client should maintain a privacy policy explaining what user information and API data it accesses, collects, stores, shares, and uses. It also expects a user-facing deletion mechanism. Document the data classes in your privacy notice so users can understand what a deletion request covers.
Possible consequences for policy violations include quota reduction, revoked API keys or privileges, account termination, or other action, as described in the official guidance. Those are potential enforcement measures, not an automatic penalty attached to every operational mistake. You must also account for applicable law and any other contractual obligations; the platform policy is not a legal determination for a particular service or jurisdiction.
Operational checklist
- Classify each API field and derived value before storing it.
- Record authorization state, retrieval time, refresh time, and the applicable deadline.
- Run age-based refresh or deletion work continuously, with retries and monitoring.
- Provide a visible deletion-request path and treat requests as urgent events.
- Invalidate access and start deletion when authorization is revoked.
- For approved retained statistics, verify authorization and source-video existence at least every 30 days.
- Keep current displays fresh and label historical data with its observation time.
- Test that deletion reaches indexes, caches, exports, and other service-controlled copies.
- Review the current policy and revision history when your API scope or analytics permission changes.
The correct mental model is not “YouTube deletes every record after 30 days.” It is a set of category-specific retention and freshness rules, plus faster event-driven deletion duties. A database that can classify, refresh, and erase data on those separate paths is how an implementation can meet the policy without assuming that every refresh grants indefinite storage.
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