Airnguru

Airnguru — A high-frequency airline FARE-PRICING surveillance archive. The product's stated cadence is 'every market, every fare, every hour' with 'high-frequency, 100% market coverage', meaning continuous capture of published airfares across every market and fare class a monitored airline offers, held as an hourly time series. Around that core feed sits a full software suite — Fare Visualizer, Price Execution, Airnguru Analytics, Airnguru AI, the Pantheon automation engine, an Automated Data Feed, and an Ancillary Suite including Ancillary Web Data — so the archive also carries ancillary/bag…

Airnguru offers (Price, Alternative, Sentiment, Supply Chain) — Enormous relative to the company's size, and derivable from the stated coverage claim. 'Every market, every fare, every hour' implies, for one monitored airline in one region, thousands of markets × multiple fare classes × 24 captures per day. Across a full global customer set that is plausibly hundreds of millions to billions of dated fare observations per year — the classic shape of a scrape-at-scale archive. Exact counts are not published and are the first diligence question..

Airline revenue-management model training and competitor-response simulation (this is the dataset's purpose for its own customers); demand-elasticity and fare-formation research; inflation and consumer-price-component work on airfares with far better frequency than official indices; travel-demand and route-competition analysis; OTA and metasearch price-accuracy validation; antitrust and market-concentration studies of fare coordination; benchmarking of ancillary/baggage fee inflation; and general price-dynamics research on one of the most dynamically-priced consumer markets that exists.

The data is with 8 years of history.

Coverage spans US, China/HK, Other; Application Software, Airlines; price, alternative, sentiment, supply_chain; equities.