Solution
Fare and rate data goes stale in minutes, and travel sites run the hardest anti-bot stacks. Solve the challenge inline and keep the feed current.
Who this is for
Metasearch and fare-aggregation products, corporate travel and TMC rate-audit teams, and hotel revenue managers running rate shopping. The pipeline fans out route by date by cabin, so one market is thousands of requests before anyone has looked at a price. Most of these teams have already failed at this once with something they built themselves.
The problem
A single fare funnel can stack Akamai, PerimeterX, DataDome and Cloudflare, and carriers price by geo and session, so caching is not a way out. Every route, date and cabin combination is its own request, which makes the volume large and a two percent solve-failure rate visible: the cheapest fare on the result page is simply wrong. The vertical also has a real litigation history, so access has to be permitted, contracted or licensed.
Works with
[ 04 ]Questions about this one
Akamai Bot Manager and Imperva on carrier sites, DataDome and PerimeterX more often on OTAs, with Cloudflare in front of either. Many funnels run two at once on different steps.
Usually not. The cookie is scoped to a session and a set of headers, so changing the exit IP or the client fingerprint mid-funnel triggers another challenge. Keep the solve, the proxy and the session bound together.
A non-zero one, reported per carrier rather than as a single average. Each type page publishes its measured success rate, which is the number to size retries against.
No. Airlines have won access cases in this vertical, and we expect collection to run under a distribution agreement, a licensed feed or published terms that allow it.
Create a key, paste it into the sample above, and watch a real token come back. No card, no sales call.
