Google Flights API

A Google Flights API you can call from anything that speaks HTTP: send a route and a date, get back the fares Google shows — every itinerary, not the first page. No official Google Flights API exists; this endpoint talks to the JSON service behind the site, so a search answers in seconds without a browser.

$0.20 per 1,000 rows. No fee per request, no fee per search, no proxy fee. Error rows are free.

Tested head-to-head — 9 October 2026

The same search — JFK → LAX, one way, 12 November 2026, economy, 1 adult, 20 flights asked — went to this Actor and to the five most-used Google Flights scrapers on Apify Store, from one test account:

	Flights returned	Seconds	Fields per flight	$ per 1,000 flights	Start fee
This Actor	20 of 20	4.4	62	$0.20	none
A · 364 users a month	34, packed into one row	12.7	22	$0.91	$0.001
B · 300 users a month	20 of 20	5.8	48	$0.06	$0.00005
C · 211 users a month	20 of 20	13.9	60	$2.50	$0.01
D · 63 users a month	0 of 20	4.2	—	—	$0.00005
E · 53 users a month	20 of 20	7.9	25	$0.48	$0.005

Every Actor that returned flights showed the same fares for the same flights. B is cheaper per row; it has no bag, Wi-Fi or legroom data. This Actor's figures are from the build updated the same day, which added bags in the fare, seat amenities and the legroom rating per leg.

One request

curl -X POST "https://api.apify.com/v2/acts/lergassy~google-flights-api/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"origin":"DPS","destination":"SIN","departureDate":"2027-03-15","currency":"USD"}'

The response is a JSON array of itineraries — no polling, no webhook, no SDK required.

from apify_client import ApifyClient
client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("lergassy/google-flights-api").call(run_input={
    "origin": "DPS", "destination": "SIN", "departureDate": "2027-03-15",
    "adults": 2, "cabinClass": "business", "maxStops": "0",
})
for f in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f["price"], f["currency"], f["airline"], f["flightNumbers"], f["departAt"])

What comes back

Field	Example
price / currency / priceLevel	92 / USD / typical — Google's own low/typical/high verdict
airline / airlineCodes / flightNumbers	Jetstar / ["JQ"] / ["JQ86"]
stops / layovers[]	1 / airport, city, duration
departAt / arriveAt / totalDurationMinutes	2027-03-15T15:05 / 2027-03-15T18:00 / 175
legs[]	Per leg: flight number, operating carrier, airports, times, aircraft, legroom and its rating, amenities (Wi-Fi, power, TV, video), CO₂
checkedBagsIncluded / carryOnBagsIncluded	0 / 1 — bags included in the fare
isCheapest / isFastest	true on the cheapest and the fastest flight returned
emissionsKg / emissionsVsTypicalPercent	114 / −2
bookingToken / googleFlightsUrl	Google's token for this itinerary, and a link that reopens the search
bookingOptions[] (optional)	Seller, price, fees and a deep link — airline and agencies such as Trip.com or Expedia
returnOptions[] (optional)	Round trips: matched return flights with the total price for both directions

Every search also writes a summary — flights found, the cheapest flight, price level, the typical price band and about two months of daily price history — to the run's SEARCH_SUMMARY record; set includeSearchSummary to get it as a dataset row too.

Parameters

Parameter	Notes
origin / destination / departureDate / returnDate	IATA codes and ISO dates; a return date prices the round trip as one total
adults / children / infantsInSeat / infantsOnLap	Up to 9 passengers
cabinClass	economy, premium economy, business, first
maxStops / airlines / excludeAirlines / maxPrice / maxDurationMinutes	Filters
sortBy	best (Google's ranking), price, duration, departure
currency / market / language	Point of sale: what a shopper in that country sees
routes[]	Many route/date pairs in one request
multiCityLegs[]	Multi-city itineraries priced leg by leg
calendarDays	Lowest fare per departure date, up to a year
exploreAnywhere	Cheapest destinations from an origin
resolveBookingOptions / resolveReturnFlights	Sellers and matched returns for the top results

Rate, scale and reliability

Each search is retried against Google's endpoint on fresh residential addresses, two at a time, with the proxy included in the price; when Google refuses the endpoint the Actor falls back to the results page, and every row carries resultsSource so you know what you got. There is no rate card per request — you are billed for rows only, so a burst of 500 searches costs the same as 500 searches spread over a day.

Batch 200 route/date pairs into one call with routes[] instead of firing 200 calls: same price, fewer round trips.

MCP for AI agents

The Actor is exposed over Apify's MCP server, so an agent can call it as a tool without glue code. Prompts like "cheapest nonstop DPS–SIN in March, in USD" or "is CGK–KUL on 1 November cheap right now, and who sells it" are answered from the schema, which is self-describing.

What it costs

One event, $0.0002 per row — $0.20 per 1,000, down to $0.10 on higher Store tiers. A search returning 50 itineraries costs one cent. 50,000 rows cost $10 with nothing added for requests, pages, retries or proxy. Rows that fail are never charged, so a bad route costs nothing.

Notes and limits

Times are local to each airport, as Google displays them. Round-trip prices are the total for both directions. Stays longer than about a month return fewer itineraries because most airlines cap round-trip fares — request the two legs as one-ways instead. Prices move during the day; for monitoring, schedule the call rather than caching a result.

The Actor reads publicly displayed prices and schedules without logging in, bypassing access controls or collecting personal data. Google's terms restrict automated access, and the legality of scraping public data depends on your jurisdiction and use; review the terms and consult a lawyer for commercial use.

Need an endpoint that isn't here?

Open an issue on this Actor's page — answered the same day, most requests shipped within a week.

Related: Flight Price Calendar (cheapest dates), Flight Price Tracker (fare alerts), Cheap Flight Destinations (Explore as data).