Google Flights Scraper: Prices, Schedules & Flexible Dates

Get Google Flights prices and schedules for any route as clean, structured data: one-way, round trip, or every departure date in a range to find the cheapest day to fly. Each result includes airlines, flight numbers, stops and layovers, aircraft, legroom and CO₂ emissions, sorted cheapest first.

How to use

1. Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
2. Open Google Flights Scraper, fill in the input (the form is pre-filled with a working example) and click Start.
3. Watch results stream into the dataset table while the run is going.
4. Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.

Why use this Google Flights scraper?

• Flexible dates. Give a date range (up to 60 days) and get prices for every day, with isCheapestForDate flagged. Add tripLengthDays for round trips, e.g. every 5-night trip in November.
• Many routes in one run. Every origin × destination × date combination is searched. Use airport codes (JFK, ICN) or city names (New York, Seoul) to cover all airports in a city.
• Rich flight details that the Google Flights list view hides:
  • flight numbers, aircraft type and legroom for every segment
  • layover airport, city and connection time
  • CO₂ estimate vs. the route's typical emissions
  • Google's "best flights" flag
• Cabin & passengers. Economy, premium economy, business, first; adults and children. Prices are totals for all passengers.
• Filters. Max stops (nonstop only), max price, airlines by name or IATA code.
• Any currency and point of sale. USD, EUR, GBP, KRW, JPY, …
• Fast. A typical search takes a few seconds; 14 flexible dates took about 13 seconds in testing.

How to scrape Google Flights

{
  "origins": ["Seoul"],
  "destinations": ["Tokyo", "Osaka"],
  "departureDateFrom": "2026-11-01",
  "departureDateTo": "2026-11-14",
  "tripLengthDays": 5,
  "cabin": "economy",
  "adults": 2,
  "maxStops": 0,
  "currency": "KRW",
  "maxResultsPerSearch": 10
}

For a single date use departureDate (and optionally returnDate).

Input reference

Every option at a glance. A minimal input that works as-is:

{
  "origins": [
    "JFK"
  ],
  "destinations": [
    "LHR"
  ],
  "cabin": "economy",
  "adults": 1,
  "currency": "USD",
  "country": "US",
  "maxResultsPerSearch": 30,
  "maxResults": 1000
}

All fields:

• origins (From) — Airport codes (JFK, LHR, ICN) or city names (New York, Seoul). Each origin is combined with each destination.
• destinations (To) — Airport codes or city names.
• departureDate (Departure date) — Departure date (YYYY-MM-DD). For flexible dates use the range fields below instead.
• departureDateFrom (Flexible dates: from) — Search every departure date from this day….
• departureDateTo (Flexible dates: to) — …up to this day (max 60 days). Great for finding the cheapest day to fly.
• returnDate (Return date (round trip)) — Leave empty for one-way.
• tripLengthDays (Trip length in days (round trip with flexible dates)) — With a date range, return this many days after each departure date.
• cabin (Cabin) — Travel class. Options: economy, premiumEconomy (Premium economy), business, first; default "economy".
• adults (Adults) — Prices are totals for all passengers. Default 1.
• children (Children) — Children aged 2–11. Default 0.
• maxStops (Max stops) — 0 = nonstop only. Empty = any.
• maxPrice (Max price) — Drop flights above this total price (in the currency below).
• airlines (Airlines (optional)) — Keep only these airlines, by name or IATA code (e.g. “Delta”, “BA”).
• currency (Currency) — ISO currency code, e.g. USD, EUR, GBP, KRW, JPY. Default "USD".
• country (Point of sale country) — Two-letter country code Google Flights uses for prices and availability. Default "US".
• maxResultsPerSearch (Max flights per route & date) — Cheapest first. Default 30.
• maxResults (Max results (total)) — Stop after this many flights. You are charged per flight. Default 1000.
• proxy (Proxy) — Apify datacenter proxy works for Google Flights.

What the Google Flights output looks like

{
  "searchOrigin": "SFO",
  "searchDestination": "NRT",
  "departureDate": "2026-12-05",
  "returnDate": null,
  "tripType": "oneWay",
  "cabin": "business",
  "adults": 2,
  "currency": "USD",
  "price": 4299,
  "rankByPrice": 1,
  "isCheapestForDate": true,
  "isBest": false,
  "airlines": [
    "Air Canada"
  ],
  "origin": "SFO",
  "destination": "NRT",
  "departure": "2026-12-05T16:55",
  "arrival": "2026-12-07T16:40",
  "durationMinutes": 1845,
  "stops": 1,
  "layovers": [
    {
      "airport": "YVR",
      "airportName": "Vancouver International Airport",
      "city": "Vancouver",
      "durationMinutes": 1092
    }
  ],
  "emissionsGrams": 3643000,
  "typicalEmissionsGrams": 4537000,
  "emissionsVsTypicalPercent": -20,
  "segments": [
    {
      "flightNumber": "AC 571",
      "airline": "Air Canada",
      "from": "SFO",
      "to": "YVR",
      "departure": "2026-12-05T16:55",
      "arrival": "2026-12-05T20:18",
      "durationMinutes": 143,
      "aircraft": "Airbus A220-300 Passenger",
      "legroom": null
    },
    {
      "flightNumber": "AC 3",
      "airline": "Air Canada",
      "from": "YVR",
      "to": "NRT",
      "departure": "2026-12-06T14:30",
      "arrival": "2026-12-07T16:40",
      "durationMinutes": 610,
      "aircraft": "Boeing 787",
      "legroom": null
    }
  ]
}

Times are local airport times. For round trips, Google Flights first lists outbound options priced as the round-trip total; each row is one outbound option with that total.

What can you do with Google Flights data?

• Fare tracking & alerts: schedule a daily run and watch prices for your routes.
• Travel agencies & deal sites: find the cheapest dates and routes to publish.
• Corporate travel & analytics: compare carriers, schedules and emissions.
• Market research: route competition, nonstop availability and price levels by date.
• AI travel agents: live, structured flight options.

How much does it cost?

Pay per flight returned, plus a negligible start fee per run. Use Max flights per route & date and Max results to control cost.

Limits you should know about

• Prices and availability come from Google Flights at run time and can change quickly; book on the airline or agency site.
• Results follow Google Flights' own matching for city names and dates.
• If something breaks after a Google change, open an issue and it will be fixed quickly.

Pricing — what you pay per flight

This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:

Event	Free plan	Bronze	Silver	Gold+
flight — One flight option saved to the dataset	$2.00	$1.80	$1.70	$1.60

There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.

Tips

• Start with a small maxResults (say 20) to check the output, then raise it — you only pay per result.
• Keep the default proxy setting — it is only used as a fallback when a direct request is blocked.
• Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it on a cron to keep your data fresh.
• Webhooks — trigger downstream actions the moment a run finishes.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('tindacloud/google-flights-scraper').call({
    "origins": [
        "JFK"
    ],
    "destinations": [
        "LHR"
    ],
    "cabin": "economy",
    "adults": 1,
    "currency": "USD",
    "country": "US",
    "maxResultsPerSearch": 30,
    "maxResults": 1000
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Python

from apify_client import ApifyClient

client = ApifyClient("MY_APIFY_TOKEN")
run = client.actor("tindacloud/google-flights-scraper").call(run_input={
    "origins": [
        "JFK"
    ],
    "destinations": [
        "LHR"
    ],
    "cabin": "economy",
    "adults": 1,
    "currency": "USD",
    "country": "US",
    "maxResultsPerSearch": 30,
    "maxResults": 1000
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL — run and get the results in one request:

curl -X POST "https://api.apify.com/v2/acts/tindacloud~google-flights-scraper/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"origins": ["JFK"], "destinations": ["LHR"], "cabin": "economy", "adults": 1, "currency": "USD", "country": "US", "maxResultsPerSearch": 30, "maxResults": 1000}'

Integrate with any app

Connect the dataset to thousands of apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new records straight into your CRM or sheet.
• n8n — self-hosted workflows.
• Slack — get notified when a run finishes or finds something new.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.
• Webhooks — call your own endpoint when a run succeeds or fails.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "find the cheapest day to fly Seoul to Tokyo in December and the airlines on that day" and let it run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:

• x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
• Skyfire — agent-to-service payments with pre-funded Skyfire tokens.

Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.

Ready-made examples

Open one, change the fields, press Start — nothing to configure:

• Find the cheapest flights for flexible dates

Frequently asked questions about scraping Google Flights

Do I need an API key or a login?

No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.

How do I export the results?

Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.

Can I run this on a schedule?

Yes. Apify schedules run it every hour, day or week without you being there. Each run is independent, so a schedule gives you a fresh snapshot every time.

Can I call it from Python or JavaScript?

Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.

What does it cost?

You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.

Is this data public?

Everything collected here is what Google Flights shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.

Related scrapers

Other scrapers from the same maker, built the same way — no browser where it isn't needed, one flat price per result:

• Airbnb Listings Scraper
• Website Contact & Email Scraper

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC. All trademarks mentioned are the property of their respective owners. "Google Flights" is named here only in a descriptive sense — to identify the publicly available website this Actor reads. It collects only publicly available information that anyone can see without logging in; you are responsible for making sure your use of the data complies with applicable laws, regulations and the terms of the source website.