Commerce

Airline and hotel pricing without point-of-sale distortion

Collect fares as they appear to travellers in each origin market.

120 min

max sticky session

69

points of sale

99.4%

quote success rate

The problem

Travel pricing is the most aggressively geo-segmented category on the web. The same seat on the same flight carries a different fare depending on the point of sale, the currency, the device and how many times that address has searched the route recently.

Airline and OTA systems also apply search throttling that is far tighter than typical e-commerce, because each query hits an expensive downstream GDS call.

The solution

Residential exits in each point-of-sale market return the fare a traveller in that market is quoted, in the right currency, with the right taxes and ancillaries applied.

Rotating exits prevent the repeat-search penalty that inflates fares for addresses that have looked at a route several times.

Mechanics

How proxies solve it

1

True point-of-sale pricing

Fare and currency follow the exit's country, which is what determines the quoted price.

2

Avoid repeat-search inflation

A fresh address per query removes the search-history signal some systems price against.

3

Survive tight rate limits

Distributing queries across a large pool keeps you under per-address thresholds on throttle-heavy targets.

4

Sticky sessions for booking flows

Multi-step fare quotes need a stable exit for the whole funnel.

Workflow

How we would build it

  1. 1

    Define route and POS pairs

    The unit of collection is route plus point of sale, not route alone.

  2. 2

    One session per quote

    Sticky sessions keep currency and cabin selection stable through the multi-step quote.

  3. 3

    Respect the downstream cost

    Every fare search costs the airline money. Keep concurrency modest and cache aggressively.

  4. 4

    Normalise to a base currency

    Store both the quoted currency and a converted value with the FX rate and timestamp.

FAQ

Travel fare monitoring questions

Fare inventory changes minute to minute, and most systems apply cache layers with short and inconsistent lifetimes. Always store the collection timestamp and treat a fare as a point-in-time observation.
For a single search result page, no. For anything that walks the booking funnel to get taxes and ancillaries, yes — the session carries the state.
Get started

Ready to start travel fare monitoring?

Your first gigabyte is free, which is normally enough to validate the approach against your real target before you commit to anything.