Travel Data Scraping Services

Because one price requires one search, and a useful dataset requires thousands of searches per property. A retail page yields a price with a single request. A hotel needs a separate shop for every combination of date, length of stay and occupancy — a single property across 180 dates, three stay lengths and two occupancies is over a thousand shops, repeated daily.

This is why grid design matters more than anything else in scoping. A dense grid on the dates that drive your revenue usually delivers more value than a thin grid stretched across a full year for the same cost.

Yes, and the method is what makes it usable. We shop the identical stay across your own site and every in-scope channel within the same window, capture rate plan, cancellation terms and tax treatment per record, and deliver the parity gap as a computed field.

Breaches are then classified rather than dumped: genuine same-product undercut, different rate plan, different tax treatment, or different point of sale. This matters because false positives are the failure mode in parity work — a team that finds most alerts are noise stops reading them, which is worse than no monitoring.

No, and this is a firm boundary rather than a capability gap. Those rates sit behind authentication — corporate codes, loyalty logins, wholesale portals — and we do not create accounts or use credentials to reach them.

What we do capture is every publicly displayed rate, including member rates that a channel shows without login, and promotional rates on public search. If leakage of wholesale rates into public channels is your concern, that leakage is publicly visible by definition and we will find it.

Up to 365 days where channels allow it, though most channels open inventory progressively so far-out dates may return partial results. Common configurations are every date for the first 60–90 days, then weekly intervals to a year.

We shop asymmetrically by default: high frequency on compression and event dates, lower on shoulder periods. Uniform frequency across a full year spends most of its budget on dates where nothing is changing.

Yes, with fine print captured, because fare comparison without it is misleading. We collect fare by route, date, cabin and stop count, plus baggage inclusion, fare class and change conditions.

A fare that excludes checked baggage is not comparable to one that includes it, and low-cost carrier pricing depends heavily on ancillaries. We capture the components rather than one headline fare so like-for-like comparison is actually possible.

By collecting per point of sale rather than reporting one price as global. Several channels price by the searcher's apparent country and currency, so a single figure would be an artefact of whichever market we happened to shop from.

Records carry the point of sale and the currency shopped. Where you need cross-market comparison we supply rates in the shopped currency plus a conversion using a documented daily rate, so the conversion is auditable rather than hidden.

We collect publicly displayed rates from public search interfaces, without accounts, credentials or bookings. Public price display is the general position most jurisdictions treat as accessible, but channel terms often restrict automated access, and we say so plainly rather than implying the question does not exist.

Every engagement includes a written methodology document describing exactly what we access and how, and a DPA is available before signature. That lets your counsel form a view on your specific use case, which is the only responsible answer — we are not your lawyers.

Yes, and increasingly clients want both because short-term rental supply competes directly with hotel inventory in many markets. Rental pricing behaves differently: nightly rate varies by total stay length, cleaning and service fees are separate, and minimum-stay restrictions are common.

We capture fees separately from nightly rate rather than blending them, since a low nightly rate with a high cleaning fee is expensive for short stays and competitive for long ones. Calendar availability is captured where displayed.

We quote individually, and in this category the quote is driven almost entirely by grid size multiplied by shop frequency — properties, dates, stay lengths, occupancies and channels multiplied together, then by how often you shop.

A defined competitive set with a focused grid on high-value dates sits at the lighter end. Multi-market portfolios with full-year grids, several occupancies and sub-daily parity shopping sit considerably higher. We design the grid with you first so the number reflects decisions you actually make. One scoping call, a free pilot on your own comp set within 48 hours, then a fixed monthly quote. Request a quote.