Answers · PMS vendors · 14 questions
Updated 25 Oct 2026 · Reviewed by Mohammad Shakir, Co-founder & CEO
For a property management system, rate shopping is a feature hotels increasingly expect - and one you don't have to build from scratch. These answers cover integrating a rate shopping API, mapping, refresh strategy, packaging and pricing.
Integrate a rate shopping API and show the results inside your product. You own the user experience; the provider owns the data collection.
Scope the first release small: comp-set rates for a date range, shown beside the hotel's own rate.
Typically hotel, source, check-in and check-out, occupancy, room or rate details, price, currency, tax treatment and a timestamp.
Ask for availability and sold-out signals, and ask which price types the API distinguishes.
Add a comp-set panel to the rate calendar, with the hotel's rate beside each competitor and a highlight where they differ.
Keep it to a glance; detail views can come later. Show the time of the last successful check beside every rate.
Match on name, address and coordinates, then confirm with an identifier or manual review, and store the mapping for reuse. Do the same for competitors and for room types, using attributes such as bed type, size, view and inclusions.
Mapping quality decides data quality, so budget time for exceptions and let the hotel correct the mapping.
Daily is a sensible default, with more frequent refresh for near dates. Offer on-demand refresh for hotels' own checks.
On-demand refresh drives most of the call volume, so set limits.
Common choices are a per-property monthly add-on with included checks, or usage-based pricing. Pass volume costs through transparently.
Model cost per property before you set the price.
Yes, by limiting the comp set, horizon and refresh rate, and by using cheapest-room checks.
Tiering keeps small properties profitable for you.
Start with a sandbox key, build one read endpoint into a single screen, test with a few hotels, then add scheduling and caching.
A basic read-only integration can take a few weeks; mapping tools and alerts take longer.
An API key in a header is common, sometimes with IP allow-listing. Keep keys server-side and rotate them.
Never expose a key in browser code.
Show the last known value with a timestamp, label gaps clearly and retry on a schedule. Never display missing data as zero.
Track failure rates per source.
Cache by hotel, date and source with a short time-to-live, and deduplicate concurrent requests.
Share the cache across hotels that have the same competitors.
Rate shopping collects market prices. A revenue management system uses data like that, with demand forecasts, to recommend or set prices.
Many RMS products consume rate shopping data from a provider.
Store a time-stamped record per hotel, source, stay date and price type. Keep raw readings, and derive daily summaries.
History powers trend views and lets hotels see how rates moved before an event.
Rates by room type and rate plan, availability, restrictions, taxes and fees, and change history, through a documented API with webhooks for changes.
Stable identifiers and versioned fields make integrations last. Expose both published and achieved rates where possible.
ScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.