I’m sharing a data source I maintain. Google Flights has no official API, so this pulls its search results as structured JSON: per-itinerary rows (route, carrier, price, departure and arrival times, stops, duration), plus Google’s price insight for each search (lowest price, whether the current fare is low/typical/high, and the typical price range).
Fields you can pass: departure_id, arrival_id, outbound_date, return_date, multi_city_json, max_price, max_stops, airlines, and a few others.
Output splits into Google’s “best flights” group and the alternatives, with airport metadata and optional resolved booking links.
This data source is really good for building a fare-history dataset (you can schedule one route/date and log daily) and route-pricing analysis.
Limits: it reads what Google shows at request time, and price insight only appears on routes where Google itself shows it. However, I have an uncleaned dataset I’m working on sharing as well, of more historical data.
This is my own paid data source (pay per page of results, no subscription). Source: Google Flights API
submitted by /u/ApifyEnthusiast1
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