kestrel actors › Hotel & flight prices

Google Flights Scraper — Airfare Prices & Price Tracking

A google flights scraper that returns airfare prices straight from Google Flights for the routes, dates and cabin you ask for. Every itinerary comes back as one row: price, airline, departure and arrival times, duration, stops, every layover and the CO2 estimate — a flight price scraper and flight price tracker in one, with no google flights api key, no login and no browser.

Run Google Flights Scraper on Apify →

Google flights scraper pricing: what one row costs

Pay per event, one event per delivered itinerary row. Searches that return nothing, status rows and failed searches are free, and the same itinerary is billed once per run even when two overlapping searches return it — NYC-LON and JFK-LHR will not bill the same flight twice. maxResultsPerSearch caps rows when you only want the cheapest few.

A single route and date is typically 10–35 rows. A 7-day sweep on 3 routes is about 21 searches — a few hundred rows. Apify platform usage for a run that size is a fraction of a cent; the verified runs behind this listing cost $0.0002–$0.0026 each in compute. Exact per-row pricing is on this page's pricing tab.

Google flights scraper input reference

Every field of Google Flights Prices, straight from the actor's input schema.

Example input

{ "routes": ["LIS-LHR", "LIS-CDG"], "departDate": "30 days", "sweepDays": 6, "currency": "EUR", "market": "pt" }

{ "routes": ["JFK-LHR"], "departDate": "14 days", "returnDate": "21 days", "seat": "business", "maxStops": "nonstop" }

Google flights scraper output fields

Two row types share one dataset: flight (one itinerary for a route, date and cabin) and status (one per route and date; never charged).

Dataset views in the Apify Console: Overview, Flights, Cheapest by day, Run status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "flight", "route": "LIS-LHR", "depart_date": "2026-10-05", "return_date": null, "trip": "one_way",
  "seat": "economy", "adults": 1, "currency": "USD", "rank": 1,
  "price": 127, "price_display": "127 US dollars", "round_trip_total": false,
  "airline": "Tap Air Portugal", "airlines": ["Tap Air Portugal"], "stops": 0,
  "depart_time": "8:00 PM", "arrive_time": "10:55 PM", "depart_day": "Monday, October 5",
  "depart_airport": "Humberto Delgado Airport", "arrive_airport": "Heathrow Airport",
  "origin": "LIS", "destination": "LHR", "duration": "2 hr 55 min", "duration_minutes": 175,
  "layovers": null, "layover_airports": null, "overnight_layover": false,
  "co2_kg": 123, "emissions_vs_typical": -7, "max_stops": null, "page": 1,
  "google_url": "https://www.google.com/travel/flights?tfs=..."
}

Google flights scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/google-flights-prices").call(run_input={
    "routes": ["LIS-LHR"], "departDate": "30 days", "sweepDays": 6, "currency": "EUR",
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "flight":
        print(row["depart_date"], row["price"], row["airline"], row["stops"])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/google-flights-prices').call({
    routes: ['JFK-LHR'], departDate: '14 days', seat: 'business', maxStops: 'nonstop',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((i) => i.type === 'flight').map((i) => [i.price, i.airline]));

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~google-flights-prices/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"routes":["LIS-LHR"],"departDate":"30 days","maxResultsPerSearch":10}'

The same three calls are runnable files in the examples repository: examples/google-flights-prices.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a Google Flights API key or a Google account?

No. There is no public google flights api to hold a key for, and this uses none. No login, no cookies, no browser — it builds the same tfs query parameter Google puts in its own URLs and reads the page Google returns.

Can I get flight price history from Google Flights?

Not retroactively — Google does not publish history, and neither can this. What you can do is build it: schedule a run daily with a relative departDate, and every row lands timestamped. Two weeks of that is two weeks of flight price history for your routes that is yours to keep.

How do I find the cheapest day to fly?

Set sweepDays. {"departDate": "30 days", "sweepDays": 29} prices the same trip departing on each of the next 30 days; sort the flight rows by price and the answer is the top row. The status row for each date also carries cheapest, if you only want the daily minimum.

Can I set a flight price alert?

Yes, outside the actor. Schedule the run, connect it to n8n, Make or Zapier through Apify's integrations, and fire when price drops below your threshold. Because you keep every row, your alert can be smarter than Google's — "nonstop under $400 on any of these three routes", for example.

Does it support round trips and multi-city?

Round trips yes: set returnDate and every row prices both legs. Multi-city is not exposed as an input in this version — run each leg as its own one-way route if you need one.

Which cabins and passenger mixes work?

economy, premium_economy, business and first, and up to nine passengers across adults, children, infants in a seat and infants on a lap. Business and first return a genuinely different, smaller market — in testing JFK–LHR economy started at $282 and business at $1,469 on the same day.

Why do prices differ from what I see in my browser?

Three usual reasons: your market differs from your browser's country, your currency differs, or the fare simply moved — airline pricing changes through the day. Set market and currency explicitly and re-run to compare like for like; each row also carries the google_url that reproduces the exact search.

How many itineraries does one search return?

Usually 10–35 for a route and date, which is what Google itself lists. maxResultsPerSearch caps it lower when you only want the cheapest handful and want the run to cost less.

Can I use it as an airfare scraper for Skyscanner or Kayak specifically?

No — it reads Google Flights. That said, Google aggregates most of the same carriers and online travel agents those sites do, so for airfare price tracking the numbers are usually comparable, and you get them from one source with one schedule.

Is there a free tier?

Empty searches, failed searches and status rows are always free, so a run that finds nothing costs nothing beyond a fraction of a cent of platform compute. Paid rows start only when an itinerary is actually delivered. Apify's free plan includes monthly platform credit you can spend here.

How to use Google Flights Scraper

• How to Find the Cheapest Day to Fly, as Data — Price every departure day in a window, rank them, and keep the history. One row per day with the airline, stops and duration attached — with Python.

Ready-made runs you can open and start

Each one is a saved input on the Apify Store — open it, press Start, and it runs with the fields already filled in. All 163 across the suite.

Related scrapers

• Flight Price Tracker — only want the cheapest fare per day, cheap enough to run every morning? It runs the same engine and bills one row per route and departure day, with a maxPrice alert line that filters before billing.
• Google Hotels Prices Scraper — hotel prices and every booking site’s rate for a stay.
• Airbnb Scraper — Airbnb prices, availability calendars and occupancy.
• Airbnb Reviews Scraper — every guest review of an Airbnb listing, with translations.
• Agoda Reviews Scraper — Agoda hotel reviews with separate positives and negatives.

Run Google Flights Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/google-flights-prices