Answers · OTAs & metasearch · 9 questions
Updated 25 Oct 2026 · Reviewed by Mohammad Shakir, Co-founder & CEO
For an OTA or metasearch platform, price intelligence is infrastructure: a continuous read on where you stand against every competing platform, property by property. These answers cover monitoring at scale, fair comparison, competitiveness metrics and spotting funded discounting.
Price intelligence is the continuous collection and analysis of market prices to inform your own pricing. In travel it covers hotels, flights and packages across competing platforms.
It answers three questions: where you are priced against the market, where you are losing, and where you are leaving margin on the table.
Sample your properties across competing platforms for matching dates and occupancy, and compare final payable prices. Prioritise high-traffic properties and near dates.
Weight the sample by bookings, not hotel count, and segment by city, star level and lead time. Treat member and public prices as different price types, and use an API or data feed to do it at scale.
They match each hotel across partner platforms, receive or collect each partner's price for the same stay, and display the offers side by side. Matching and price freshness are the hard parts.
Partners usually supply prices through feeds or live queries. Accurate hotel and room matching decides whether the comparison is fair.
A common method is the share of searches or bookings where you are cheapest, equal or higher than a reference set, tracked over time and by segment.
Pair it with conversion data, because being cheaper only matters where the guest can see both offers.
By re-checking at a set frequency and flagging differences from the last reading, with thresholds to avoid alerting on noise.
More frequent checks catch more changes but cost more, so apply them to the dates that matter.
Spend margin where price decides the booking and the conversion gain outweighs the lost margin, such as high-demand dates or price-sensitive segments. Spot others doing it by tracking their final prices against the supplier's published rate over time.
Test on a small segment and measure incremental bookings. A persistent gap against the supplier rate suggests funded discounting.
It checks whether suppliers offer you the same price as other channels, so you can enforce agreements and spot undercutting.
It is useful in supplier conversations when you have evidence by property and date. Parity clauses have drawn regulatory scrutiny in some markets, so review the current position with counsel.
Treat them as a separate price type from public prices, compare like with like, and report any member gap separately where those prices are visible to you.
Mixing price types is the most common way a benchmark misleads.
Normalise each offer to a common set of attributes: room tier, meal plan, cancellation terms and tax-inclusive total. Compare only offers that match on those.
Flag offers that cannot be matched rather than forcing a comparison, and keep the normalisation rules documented and versioned.
ScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.