HotelRunner · Rate Limits

Hotelrunner Rate Limits

HotelRunner's Custom Apps documentation does not publish numeric per-minute or per-day request-rate limits for the REST or XML API. The documented operational controls are structural rather than throttling-based: inventory updates via /rooms/daily are capped at 90 dates per call, and reservation delivery failures follow a retry/timeout convention rather than a rate limit - HotelRunner expects a connecting PMS to retry a failed delivery until it succeeds or a documented timeout window (for example, 30 minutes) is reached. Update calls can also return a status of try_again, signaling the caller should retry rather than having been throttled outright.

Hotelrunner Rate Limits is the machine-readable rate-limit profile for HotelRunner on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 4 rate-limit definitions, measuring dates, status, minutes, and records.

The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include Hospitality, Hotel, Channel Manager, Rate Limiting, and Quotas.

4 Limits Throttle: not published
HospitalityHotelChannel ManagerRate LimitingQuotas

Limits

Bulk Update Date Window request
dates
90
The /rooms/daily bulk update endpoint accepts at most 90 dates per room per call.
Update Retry Signal request
status
try_again response
Inventory update endpoints return status=try_again when a change should be retried rather than a numeric backoff value.
Reservation Delivery Retry Window integration
minutes
documented example: 30 minutes
PMS partners are expected to retry undelivered reservation pushes until success or a pre-defined timeout, per HotelRunner's error-handling guidance.
Reservations List Page Size request
records
per_page (default 10)
The reservations list endpoint paginates with a caller-supplied per_page and page parameter; no documented maximum page size.

Policies

Retry Until Timeout
On delivery failure (5xx range), the connecting PMS should retry sending updates until success or a pre-defined timeout is reached.
Escalate After Timeout
If delivery still fails once the timeout window elapses, HotelRunner's guidance is to escalate to partner support rather than continue silent retries.

Sources

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This rate limit
curl "https://apis.io/api/v1/rate-limits/hotelrunner-rate-limits"
All rate limits
curl "https://apis.io/api/v1/rate-limits?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.