Cross-OTA rate-parity monitor → parity-exception digest
Watch how your own listing's rate shows across OTAs on a schedule and flag any platform underselling the market median.
What it does
The job it gets done
Rate parity erodes quietly: one OTA quietly undersells the rate you want your property to hold, and you only find out when direct bookings dry up. This monitor calls the flagship price-compare endpoint for your property on a schedule, ranks every OTA offer, measures each against the ScoutingAPI-computed median, and posts a parity-exception digest — which platforms are below the median, by how much, and the total spread — so a revenue manager can act on a paper trail instead of a hunch.
How it works
Step by step
- 1
Point it at your property + a target stay
Give the workflow your property name (plus an optional location to disambiguate), the check-in / check-out dates and occupancy to monitor, and a currency.
- 2
Pull every OTA rate for the property
On each scheduled run it calls GET /v1/price-compare, which resolves the one property and returns every OTA offer for those dates plus ScoutingAPI-computed min and median aggregates.
- 3
Flag the parity exceptions
The transform ranks the offers, measures each against the median, and flags any OTA sitting below it — the platforms undercutting the rate you want to hold — and computes the overall spread.
- 4
Deliver the parity digest
A digest (median, spread, each OTA with its delta vs. median, and the flagged exceptions) is posted to Slack — swap the last node for email or a Google Sheet to keep a running parity log.
What you'll need
Two ways to run it
Using an AI agent
Just your ScoutingAPI key. Your agent is the brain — it calls the endpoint and reports the result itself, so there's no separate AI key to buy. Install the SKILL.md below.
Using n8n
A running n8n instance, the workflow JSON below, a ScoutingAPI Header Auth credential, and a delivery credential (e.g. Slack) — or swap the last node. The transform is plain JavaScript, so no LLM key is required.
Try it live
Run the core call now — sandbox, 0 credits
Exercise the endpoint this workflow is built on against the deterministic sandbox — a real 200, zero credits, no sign-up.
/v1/price-compareRuns against the deterministic Google Hotels sandbox fixture — a real 200, zero credits.
Run the call to see a live, deterministic sandbox response.
curl -sS "https://api.scoutingapi.com/v1/price-compare" \
-H "Authorization: Bearer $SCOUTINGAPI_KEY"Code samples
The same call, every way that matters
curl -sS "https://api.scoutingapi.com/v1/price-compare?name=Hotel%20X%20Sibenik&location=Sibenik,HR&checkIn=2026-07-13&checkOut=2026-07-20¤cy=EUR" \
-H "Authorization: Bearer $SCOUTINGAPI_KEY"Get it for your platform
Download & import
Typical cost
≈ 22 credits per run.
price-compare· 22 credits per calllisting· 3 credits per call
Failed & empty calls are always free; sandbox calls cost 0. Live costs are on the pricing page.
FAQ
Common questions
Get your free key — no card
300 credits, the full API, the sandbox, and the native MCP server. Power this workflow and more.
No credit card · failed calls cost 0 credits