Data sources and transformations
FareGlide uses route, airport, airline, and fare snapshots from partner-accessible travel data and local cached datasets. The raw observations are transformed into route groups, airport groups, budget ceilings, direct-flight notes, airline appearances, and timing summaries. Those transformations are meant to reduce search noise, not to certify that an itinerary is bookable.
What makes a page eligible for the static core
A page should have a clear traveler decision, enough data to support that decision, a distinct intent from nearby templates, and a useful next action. Pages that merely combine filters without adding a decision layer should stay internal, noindex, paid-search-only, or limited to a measured allowlist until evidence improves.
Refresh and review cadence
Cached snapshots can be refreshed when new partner data is available, when a template is expanded, or when quality review finds stale or confusing language. Search Console, affiliate click behavior, live QA, and user feedback can all trigger copy or data updates.
Known limitations
Cached data may miss some airlines, hidden fees, codeshares, split tickets, alternate airports, seasonal schedule changes, and provider-specific rules. FareGlide therefore avoids presenting cached prices as guaranteed deals and sends users to the provider for final confirmation.
International routes can have extra variation from currency conversion, airport taxes, visa or transit requirements, baggage bundles, and separate operating carriers. Domestic routes can still vary because of basic-economy rules, bag fees, and schedule changes.