The rate-shopping data layer behind modern pricing tools.
Stop maintaining OTA scrapers. Ship pricing features instead. Real-time rates, parity and availability from Booking, Expedia, Agoda, Google Hotels, TripAdvisor and more.
Trusted by teams at
Your engineers are fighting CAPTCHACloudflarelatencyIP bans
instead of shipping product.
The scrape tax never stops.
Every source ships its own anti-bot stack and its own redesign cadence. One of them changes at 3am, your pipeline breaks, your engineers chase the patch instead of the roadmap.
Schema is a tax, not a feature.
Every source names "rate" differently. Normalizing across six is a year of work before you ship one pricing recommendation.
New markets mean new infrastructure.
Adding APAC means new IPs, new proxies, new failure modes. Adding a source starts the clock over. Quarters, not sprints.
Customers churn when data is stale.
Hotels pay you to know what their compset is doing now. The minute your data lags, you've lost the trust.
Same rate data. Three delivery shapes.
Pick what your stack already knows how to read. Switch later if you need to. We don't charge per format.
Wired into the tools your team already uses.
Same data, no integration code on your side. We push to Power BI, Snowflake, Sheets, Looker Studio, S3, or your webhook of choice. Rotation, retries, schema-version pinning handled by us.
- One config call, then it just shows up in your tool
- Webhook on every parity break with the full payload
- Status page + delivery log per destination
From a few hotels
to a million monthly requests.
Start with one property. Scale to seven figures of monthly calls without re-platforming, without changing your auth header, without an emergency capacity call. Same schema, same SDK, same support engineer.
Every field your pricing engine needs.
In one schema.
Rates
per channel, per date- rate
- currency
- los
- refundable
- taxes_included
- pos
- room_type
- occupancy
- meal_plan
- net_price
Parity
drift, direction, time- parity_index
- violation.vs
- violation.delta
- violation.pct
- violation.channel
- violation.ts
- lowest_channel
Pace & demand
leading indicators- pace_30d
- stly_pace_30d
- sold_out_dates
- availability
- demand_score
- lead_time
Where the source exposes it.
History
backtest fuel- history.from
- history.to
- history.granularity
- history.rows
- seasonality
12 to 24 months, on request, scoped per partnership.
Live rate data from the OTAs your customers actually shop.
Real-time rates from every source we cover, and more shipping as demand grows. Parity is intrinsic: we surface drift across whatever subset you ask for. Availability where the source exposes it.
Need a source we don't list? Tell us on the call. New sources usually take days, not quarters.
Real-time API access today.
Custom build in several business days.
Sign up, get a sandbox key, hit real Booking and Expedia data on your first call. Need history storage, dedicated infrastructure, or a white-label dashboard? Add up to 14 days for the custom build, with a named engineer through to production.
-
Today
Real-time API. Hit it live.
Sign up, copy your key, call the endpoints. Real OTA data on the first request. No call required.
-
Day 1–7
Wire it into your stack.
Reference implementations for portfolio sync, parity alerts, compset config. Pick the closest pattern, we adapt.
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Day 8–14
Custom build, if you need it.
History storage, dedicated channels, white-label dashboard, on-prem deploy. Same engineer through to production.
Pick one hotel.
We track its compset for 48 hours.
No NDA. No signup. Send your target hotel and up to 5 competitors. We monitor live rates across Booking, Expedia, Agoda, Google Hotels and TripAdvisor, then email you the file. Real timestamped parity data on properties you actually care about.
You send a target plus its compset
- TARGET Conrad Tokyo
- COMPSET
- 1 Mandarin Oriental Tokyo
- 2 Aman Tokyo
- 3 Park Hyatt Tokyo
- 4 The Peninsula Tokyo
- 5 Bulgari Tokyo
You get the real file back
{
"target": "Conrad Tokyo",
"window": "48h",
"compset_size": 5,
"rows": 1420,
"sample": [
{ "ts": "2026-05-03T09:00Z", "hotel": "target", "channel": "booking", "rate": 585.00 },
{ "ts": "2026-05-03T09:00Z", "hotel": "target", "channel": "agoda", "rate": 597.00, "violation": "+2.05% vs booking" },
{ "ts": "2026-05-03T21:00Z", "hotel": "target", "channel": "booking", "rate": 612.00 },
{ "ts": "2026-05-04T03:00Z", "hotel": "compset[2]", "channel": "expedia", "rate": 608.00, "violation": "-0.65% vs booking" }
]
}
How fresh is the rate data?
Real-time on request. No caching, no overnight batches. Sub-3-second average response. For high-volume workloads we ship webhook-driven updates so you're notified on change instead of polling.
Where does the data come from?
Public OTA listings only. Booking, Expedia, Agoda, Google Hotels, TripAdvisor, and the rest of the long tail. No partner-leaked APIs, no shared logins, no scraping of authenticated surfaces. The same data your customers' guests see when they shop, in one schema.
Where is data hosted? Is there an EU option?
Primary infrastructure in EU and US regions. Data residency configurable per partnership for partners with regulatory requirements. EU-only routing available on enterprise tiers.
What does pricing look like?
Volume-based, custom per partnership. We need monthly request volume estimates and your endpoint mix to quote. Book a call and we'll get you a number on the same conversation.
30-min partnership call. Or send us a target plus compset.
Both end with a working integration. Pick whichever moves you faster.
Book a partnership call
30 minutes with the founder. We'll talk volume, endpoints, exclusivity, integration. You walk out with a quote.
Book a call48h compset monitor
Send 1 target hotel and its compset. We monitor live rates for 48 hours, then email you the file. No call needed to see the data.
Email us your target plus compset