✈️ Google Flights Scraper — Live Fares, Airlines & Layovers

🔎 What is the Google Flights Scraper — and when should you use it?

The Google Flights Scraper turns live Google Flights fares for a route and date, with airlines, times and layovers into clean, structured rows you can filter, export and feed straight into a spreadsheet, database or AI agent. No account, no portal API key, no browser automation to maintain.

Use it when you need: itinerary rows for one origin, destination and date. Each row carries the fare in US dollars, the operating airlines, departure and arrival times with their dates, total journey duration as both a label and minutes, and the stop count. Every connection adds a layover entry giving the airport, the city and the wait in minutes. Cabin class and a maximum-stops cap narrow the search at the source, and one search returns up to 32 itineraries.

Use something else when: you want accommodation, a different travel platform, or a booked-fare feed. Use Agoda Flight Scraper for flight results from Agoda's own inventory, including bulk route lists. Use Booking.com Scraper for Booking.com stays, reviews and forward availability. Use Agoda Hotel Scraper for Agoda listings with nightly price, guest score, rooms and reviews. Use Tripadvisor Hotel Scraper for Tripadvisor hotels with price, rating, city ranking and reviews. This actor covers one-way Google Flights searches only. It cannot return round-trip or multi-city fares — Google composes those in the browser, so they are absent from the served page for any reader. It also does not book, and does not return seat maps or fare rules.

🤖 Use with AI agents

Already connected to the Apify MCP server? Just ask for this Actor by name: sian.agency/google-flights-scraper

Your agent can pay for its own runs. This Actor is eligible for agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — without an Apify account or API token of its own. Billing is the same either way: per successful row, never for errors.

Otherwise copy this prompt into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want live airfares for a route and date, with airlines, times, stops and layovers using the Apify Actor `sian.agency/google-flights-scraper`.

Use it when I need: itinerary rows for one origin, destination and date. Each row carries the fare in US dollars, the operating airlines, departure and arrival times with their dates, total journey duration as both a label and minutes, and the stop count. Every connection adds a layover entry giving the airport, the city and the wait in minutes. Cabin class and a maximum-stops cap narrow the search at the source, and one search returns up to 32 itineraries.

Don't use it when: you want accommodation, a different travel platform, or a booked-fare feed — use agoda-flight-scraper or booking-com-scraper or agoda-hotel-scraper or tripadvisor-hotel-scraper instead.

How to call it: set `origin` and `destination` to IATA codes and `departureDate` to YYYY-MM-DD
  origin / destination -> three-letter airport codes (LHR, JFK). City codes work too:
                          LON covers all five London airports, NYC covers JFK/LGA/EWR
  departureDate        -> YYYY-MM-DD, up to about eleven months ahead
  cabinClass           -> economy | premium | business | first (default economy)
  maxStops             -> any | 0 (nonstop only) | 1 | 2 (default any)
  adults               -> passenger count; fares are quoted per passenger
  maxResults           -> caps itineraries returned, and so caps what the run charges
One search returns up to 32 itineraries. For a return journey, run each direction
separately and treat the total as an upper bound — published round-trip fares are
often cheaper than two one-way tickets..

Start with this input:
{
  "origin": "LHR",
  "destination": "JFK",
  "departureDate": "2026-10-15",
  "cabinClass": "economy",
  "maxStops": "any",
  "adults": 1
}

Ask me which airports and which departure date, and whether I care about cabin class or nonstop only, then run the Actor and summarise the results as a table.

Things you can ask your agent for:

• Price London to New York on 15 October and show me the cheapest nonstop next to the cheapest option overall.
• Run these twelve routes for the same date and tell me which ones have no nonstop service at all.
• Track this route daily for two weeks and flag any day the fare drops more than 15% below the running median.
• Compare business class against economy on this route and tell me what the premium actually buys in journey time.

Machine-readable API, MCP config and OpenAPI definition for this Actor are published at apify.com/sian.agency/google-flights-scraper.md.

Overview

Pull live airfares for any route from Google Flights and get them back as clean, structured rows.

Give it an origin, a destination and a date. You get up to 32 itineraries, each with the fare in US dollars, the operating airlines, departure and arrival times, total journey duration, the number of stops, and full layover detail — which airport, which city, and how long you wait there — for every connection.

Fares move constantly. Every run fetches the route fresh and stamps each row with the moment it was collected, so you always know how old a price is.

Features

• 32 itineraries per search — the cheapest, the fastest, and the whole spread in between, rather than the single result a search page leads with.
• Full layover detail on every row — airport, city and wait time per connection, included in the base result rather than sold as an add-on.
• Real filters, not cosmetic ones — cabin class (economy, premium economy, business, first) and a maximum-stops cap both narrow the result set at the source.
• Worldwide coverage — any airport pair Google Flights serves. City codes such as LON and NYC widen a search to every airport in that city.
• Fares in one currency — everything is quoted in USD so routes and runs are directly comparable.
• You are billed per itinerary returned — a search that finds nothing costs you nothing beyond the run start.
• An HTML run report with every row, what you paid, and a fix for anything that failed.

Quick start

1. Open the Actor and press Start — the default input searches London Heathrow to New York JFK.
2. Swap origin, destination and departureDate for the route you care about.
3. Read the results in the Output tab, or export to JSON, CSV or Excel.

{
  "origin": "LHR",
  "destination": "JFK",
  "departureDate": "2026-10-15",
  "cabinClass": "economy",
  "maxStops": "any",
  "adults": 1
}

Getting started

Airports are given as three-letter IATA codes — LHR, JFK, CDG, NRT. City codes work too: LON covers Heathrow, Gatwick, Stansted, Luton and City, and NYC covers JFK, LaGuardia and Newark. Using a city code is usually the right move when you care about the price rather than the terminal.

Dates are YYYY-MM-DD. Google publishes fares about eleven months ahead; ask for a date past that window and you get no itineraries rather than an error.

To price a return journey, run each direction as its own search. Be aware that published round-trip fares are frequently cheaper than two one-way tickets, so treat the sum of two legs as an upper bound rather than the true return price.

Input configuration

Field	Type	Default	What it does
origin	string	LHR	IATA airport or city code to depart from
destination	string	JFK	IATA airport or city code to fly to
departureDate	string	2026-10-15	Departure date, YYYY-MM-DD
cabinClass	select	economy	economy, premium, business or first
maxStops	select	any	any, 0 (nonstop only), 1, or 2
adults	integer	1	Adult passengers; fares are quoted per passenger
maxResults	integer	32	Upper bound on itineraries returned, and so on what a run can charge

Output

One row per itinerary:

Field	Type	Example
priceUsd	number	463
currency	string	USD
airlines	array	["Brussels Airlines", "Lufthansa"]
stops	integer	1
stopsLabel	string	1 stop
originAirport	string	Heathrow Airport
destinationAirport	string	John F. Kennedy International Airport
departureTime	string	12:20 PM
departureDate	string	Thursday, October 15
arrivalTime	string	8:05 PM
arrivalDate	string	Thursday, October 15
durationLabel	string	12 hr 45 min
durationMinutes	integer	765
layovers	array	[{ "airport": "Vienna International Airport", "city": "Vienna", "duration": "1 hr 20 min", "durationMinutes": 80, "position": 1, "of": 1 }]
cabinClass	string	Economy
route	string	LHR → JFK
originCode / destinationCode	string	LHR / JFK
searchDate	string	2026-10-15
searchUrl	string	the exact search this row came from
scrapedAt	string	ISO timestamp the fare was collected

Use cases

• Fare tracking — run a route on a schedule and keep every quoted fare. Because each row carries the airline, times and stop count next to the price, you can tell a genuinely cheaper fare from a worse itinerary that happens to cost less.
• Airline competitive pricing — see every carrier on a route for a date side by side, including the connections that undercut the nonstops.
• Travel content and deal feeds — power a deals site, newsletter or channel with current fares for the routes you cover.
• Corporate travel benchmarking — check what a city pair actually costs before approving a booking, and keep the evidence.
• Route and market research — measure how many carriers serve a pair, what the nonstop premium is, and what a connection saves.

Integration examples

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('sian.agency/google-flights-scraper').call({
    origin: 'LHR',
    destination: 'JFK',
    departureDate: '2026-10-15',
    cabinClass: 'economy',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
const cheapest = items.sort((a, b) => a.priceUsd - b.priceUsd)[0];
console.log(`Cheapest: $${cheapest.priceUsd} with ${cheapest.airlines.join(' + ')}`);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("sian.agency/google-flights-scraper").call(run_input={
    "origin": "LHR",
    "destination": "JFK",
    "departureDate": "2026-10-15",
})

rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())
nonstop = [r for r in rows if r["stops"] == 0]
print(f"{len(nonstop)} nonstop options, from ${min(r['priceUsd'] for r in nonstop)}")

cURL

curl -X POST "https://api.apify.com/v2/acts/sian.agency~google-flights-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"origin":"LHR","destination":"JFK","departureDate":"2026-10-15"}'

Automation workflows — the Actor works as a step in n8n, Make or Zapier through Apify's connectors. A common pattern is a daily schedule that runs a set of routes, appends the rows to a sheet or database, and alerts you when a fare drops below a threshold you set.

FAQ

Does this return round-trip or multi-city fares? No. It searches one direction and one date at a time. Google composes round-trip and multi-city prices in the browser rather than in the page it serves, so those fares are not present in the response at all. Run each direction separately for a return journey, and treat the total as an upper bound — published round-trip fares are often cheaper than two one-ways.

How many itineraries does one search return? Up to 32. That is the source's own ceiling for a single search, not a limit we impose. Narrowing by cabin class or stops returns fewer because fewer itineraries qualify.

Are the prices live? Yes. Every run fetches the route at the moment you run it, and every row records when it was collected. Airfares move constantly, so a fare read an hour ago may no longer be bookable.

Can I book through this? No. It reports what Google Flights publicly displays for a search. Booking happens with the airline or an agent.

Which currency are fares in? US dollars, so routes and runs stay directly comparable.

How far ahead can I search? Roughly eleven months, which is how far fares are published. A later date returns no itineraries rather than an error.

Why did my search return nothing? Usually there are genuinely no flights for that pair on that date. Try a nearby date, use a city code such as LON or NYC instead of a single airport, or allow more stops.

Troubleshooting

What you see	What it means	What to do
No itineraries, run succeeded	No flights published for that route and date	Try a nearby date, a city code, or a higher maxStops
Origin "..." is not a three-letter airport code	The code was rejected before anything was charged	Use an IATA code such as LHR, not a city name
Origin and destination are the same airport	Both fields hold the same code	Set two different airports
... is not in YYYY-MM-DD form	Date format	Use 2026-10-15, not 15/10/2026
Fewer rows than expected on a free plan	Free Apify accounts are capped at 25 rows per run	Add credits or a payment method to lift the cap
Flight search is temporarily unavailable	The source was briefly unreachable; the run already retried	Re-run in a few minutes

Legal

This Actor collects only flight search results that Google Flights displays publicly. It does not log in, does not bypass authentication, and does not collect personal data.

Google Flights is a trademark of Google LLC. This tool is not affiliated with, endorsed by or sponsored by Google. You are responsible for ensuring your use of the data complies with applicable law and the source's terms.

Support

• 🐛 Issues: https://apify.com/sian.agency/google-flights-scraper/issues
• ⭐ Reviews: https://apify.com/sian.agency/google-flights-scraper/reviews
• 🌐 More actors: https://apify.com/sian.agency?fpr=sian
• 🚀 New to Apify? https://apify.com/pricing?fpr=sian

Related travel actors: Booking.com Scraper, Airbnb Property Scraper, Tripadvisor Hotel Scraper, Agoda Hotel Scraper, Agoda Flight Scraper.

Keywords for LLM Discovery

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