Google Flights API

What is Google Flights Scraper?

Google Flights Scraper turns a Google Flights search into a clean, structured dataset you can filter, export, and monitor.

Give it an origin, a destination and a date — or a list of multi-city legs — and it returns one row per flight with the price, airline, departure and arrival times, duration, stops, airports, cabin class and a link back to Google Flights.

It supports one-way, round-trip and multi-city trips, economy through first class, multiple passengers, and the filters fare trackers actually use: airline, total price, price per person, maximum duration, departure-time window and result order.

Because it runs on Apify, you also get scheduling, run monitoring, proxy rotation, an API and integrations without maintaining a server.

What data can you extract?

Field	Example	Meaning
airline	IndiGo	Operating airline
dep_airport / arr_airport	BOM / DEL	Origin and destination airports
dep_time / arr_time	08:00 AM / 10:10 AM	Local departure and arrival times
flight_date	2026-12-01	Flight date
duration / duration_min	2h 10m / 130	Total journey time
stops	0	Number of stops
price / currency	5480.0 / INR	Price Google displays for the search
cabin_class	economy	Cabin searched
trip_type	one-way	Trip type searched
booking_link	https://www.google.com/travel/flights/...	Google Flights search URL for that leg
detail_status	Complete	Whether the detail view was read
price_missing	false	True when Google showed "price unavailable"

Each run also writes:

• Dataset — one row per flight, ready for CSV, Excel, Sheets, BigQuery or an API.
• SUMMARY — search metadata, row counts, parsed price range, price history and any filter warning.
• OUTPUT — a formatted Excel workbook built from the same data.

Why use this Actor?

• Excel included. Every run stores a ready-to-open .xlsx in OUTPUT, not just JSON rows.
• Built-in price alerts. Persist the minimum price per route and POST a Discord, Slack or generic JSON message when the price drops by your threshold — or when the run fails.
• Per-person budgets. Google shows the total for all passengers. max_price_per_person lets you filter by the number you actually care about, without mental math.
• Filter safety. If your filters remove every row, the Actor does not silently return an empty run. It reports the real parsed price range in filter_warning and returns the unfiltered results so you can see what went wrong.
• Relative dates. depart_days_ahead and trip_length_days keep scheduled searches moving forward instead of pointing at a date that has already passed.
• Real browser. It reads the same JavaScript-rendered results a person sees on Google Flights, including fares that appear after the first page load.
• Apify Proxy on by default. Browser traffic is routed through Apify Proxy, the main lever against Google returning empty results to datacenter IPs.
• Sorting built in. Keep Google's ranking, or sort by price, duration, departure time or arrival time.

How to use it

1. Enter the origin and destination as three-letter IATA codes, for example BOM and DEL.
2. Set an outbound date in YYYY-MM-DD, or use depart_days_ahead to search relative to the run day.
3. Choose the trip type, cabin class, passengers and currency.
4. Optionally add filters: airline, total price, price per person, maximum duration, departure window and sort order.
5. Run the Actor and open the Dataset tab, or download the OUTPUT Excel workbook from the key-value store.
6. For monitoring, attach a schedule and a webhook so you get notified when the price drops.

No Google account, login or API key is required.

Inputs

Input	Type	What it does
departure	string	Origin IATA code, e.g. BOM
destination	string	Destination IATA code, e.g. DEL
outbound_date	string	Departure date, YYYY-MM-DD
return_date	string	Return date for round-trip
depart_days_ahead	integer	Depart this many days after the run starts; overrides outbound_date
trip_length_days	integer	Return this many days after departure; switches the search to round-trip
legs	array	Multi-city legs: {origin, destination, date} objects
trip_type	enum	one-way, round-trip or multi-city
cabin_class	enum	economy, premium, business or first
adults	integer	1–9
children	integer	0–8
infants	integer	0–4
currency	string	Three-letter code, e.g. USD, EUR, INR
stops	enum	any, nonstop, 1-stop or 2-stops
max_results	integer	1–500 rows
force_fresh	boolean	Skip the short-lived cache and scrape live
airlines	array	Keep flights whose airline matches any name (substring, case-insensitive)
max_price	number	Keep flights at or below this total price
max_price_per_person	number	Keep flights whose price ÷ passengers is at or below this value
max_duration_minutes	integer	Keep flights at or below this total duration
departure_time_from / departure_time_to	string	Departure-time window, e.g. 06:00 and 22:00
sort_by	enum	google, price, duration, departure or arrival
proxyConfiguration	object	Apify Proxy settings; Apify Proxy is used by default
usePlaywrightSource	boolean	Use the live browser scraper (default true)
trackPriceHistory	boolean	Persist the per-route minimum price across runs
priceDropAlertPercent	number	Alert threshold, default 10 (%)
alertWebhookUrl	string	Discord, Slack, Make, n8n or any JSON endpoint
alertWebhookFormat	enum	json, slack or discord
alertOnFailure	boolean	Send a webhook when the run fails

Example inputs

One-way, cheapest first

{
  "departure": "BOM",
  "destination": "DEL",
  "outbound_date": "2026-12-01",
  "trip_type": "one-way",
  "cabin_class": "economy",
  "adults": 1,
  "currency": "INR",
  "max_results": 50,
  "sort_by": "price"
}

Round-trip, nonstop, with a per-person budget

{
  "departure": "BOM",
  "destination": "DEL",
  "outbound_date": "2026-12-01",
  "return_date": "2026-12-08",
  "trip_type": "round-trip",
  "adults": 2,
  "currency": "INR",
  "stops": "nonstop",
  "max_price_per_person": 6000,
  "sort_by": "price",
  "max_results": 100
}

Multi-city

{
  "trip_type": "multi-city",
  "legs": [
    { "origin": "BOM", "destination": "DEL", "date": "2026-12-01" },
    { "origin": "DEL", "destination": "BOM", "date": "2026-12-08" }
  ],
  "adults": 1,
  "currency": "INR",
  "max_results": 100
}

Daily price watch (relative dates plus a Discord alert)

{
  "departure": "BOM",
  "destination": "DEL",
  "depart_days_ahead": 30,
  "trip_length_days": 7,
  "adults": 2,
  "currency": "INR",
  "max_results": 100,
  "trackPriceHistory": true,
  "priceDropAlertPercent": 10,
  "alertWebhookUrl": "https://discord.com/api/webhooks/...",
  "alertWebhookFormat": "discord"
}

trip_length_days automatically turns this into a round-trip search.

Output

Dataset

One row per flight. Rows keep Google's order unless you set sort_by. Unpriced or partially read rows are still returned but flagged with price_missing or detail_status, so you can filter them out downstream.

{
  "airline": "IndiGo",
  "dep_airport": "BOM",
  "arr_airport": "DEL",
  "dep_time": "08:00 AM",
  "arr_time": "10:10 AM",
  "flight_date": "2026-12-01",
  "duration": "2h 10m",
  "duration_min": 130,
  "stops": 0,
  "price": 5480.0,
  "currency": "INR",
  "cabin_class": "economy",
  "trip_type": "one-way",
  "booking_link": "https://www.google.com/travel/flights/...",
  "detail_status": "Complete",
  "price_missing": false
}

SUMMARY

A compact JSON record with the search parameters, total_available, returned, raw_total, price_stats, filter_warning, and — when price history is on — current_min_price, previous_min_price, price_change_percent and best_min_price.

OUTPUT

An .xlsx workbook with the same rows, ready to download and open.

Price tracking and alerts

When trackPriceHistory is enabled (the default), the Actor stores the minimum price for the route, cabin, passenger mix and currency in a persistent key-value store. On the next run it compares the new minimum with the previous one.

• price_change_percent is negative when the price fell.
• A webhook is sent when the drop is at least priceDropAlertPercent.
• best_min_price keeps the lowest price ever seen for that exact search.
• Set alertWebhookFormat to discord or slack for incoming webhooks; leave it on json for Make, n8n, Zapier or your own endpoint.
• Set alertOnFailure to also receive a message when a run fails.
• To test the webhook immediately, set priceDropAlertPercent to 0 for one run, then restore it.

Changing the passengers, cabin or currency starts a new price baseline, because the comparison would otherwise be misleading.

Scheduling

Create a schedule in Apify Console → Schedules and point it at this Actor. Use relative dates so the search stays current:

{
  "departure": "BOM",
  "destination": "DEL",
  "depart_days_ahead": 30,
  "trip_length_days": 7,
  "adults": 2,
  "currency": "INR",
  "trackPriceHistory": true,
  "priceDropAlertPercent": 10
}

A daily run at 08:00 with a 10% threshold gives you a simple fare-watch service without any server.

How much does it cost?

This Actor is paid per result, with a small per-run start fee:

Event	Price
Flight result	$1 per 1,000 rows ($0.001 per row)
Actor start	$0.0025 per GB — about $0.005 per run at the default 2 GB

A typical 100-row run costs about $0.11; a 500-row run costs about $0.51. The per-result price includes the dataset rows, the Excel workbook and price-history tracking. Apify platform usage is included in the per-event price.

• You are charged only for rows that are saved to the dataset.
• A run that returns no rows is charged only the start fee.
• Set max_results to cap the cost of a run.
• Apify's Maximum charge setting caps your spend per run. If the cap is reached, the Actor stops saving rows and skips the Excel export, so you are not charged for data you did not receive.
• Cached results are still billed per row, because they are still returned to you.

FAQ

Do I need a proxy?

Apify Proxy is on by default and recommended. Google sometimes serves empty results or a consent screen to datacenter IPs. If a run returns nothing, retry, switch the proxy group, or run without a proxy from a residential IP.

Why did I get zero rows?

The most common causes are a proxy/IP block, a Google consent screen, or a filter that removed everything. Check the run log and SUMMARY.filter_warning. The Actor deliberately returns unfiltered results with a warning instead of an empty dataset when filters are the cause.

Is the price per person or for all passengers?

Google shows the total for all selected passengers. Use max_price for the total, or max_price_per_person for a per-seat budget. The raw price field is the total Google displayed.

How many results can I get?

Set max_results up to 500. Google typically exposes roughly 100–200 itineraries for a busy route, and fewer for thin routes. The Actor returns what the page provides.

Does multi-city price the whole trip as one ticket?

No. Multi-city returns flight options for each leg. Group rows by dep_airport, arr_airport and flight_date to reconstruct the itinerary. It does not produce a single through-ticket price the way Google's multi-city booking flow does.

Can I sort by price or duration?

Yes. Set sort_by to price, duration, departure or arrival. The default, google, keeps Google's own ranking.

Can I use relative dates?

Yes. depart_days_ahead searches N days from the run day. trip_length_days sets the return date N days later and switches to round-trip. Both are ignored for multi-city, whose legs carry explicit dates.

Does it support business or first class?

Yes. Set cabin_class to premium, business or first.

Can I get return flights, a price graph or booking options?

Not currently. This Actor focuses on the flight results list, filters, Excel export and price alerts. Return-flight lists, a date/price graph and per-OTA booking options are not part of this version.

Can I call it from Python, JavaScript or an automation tool?

Yes. Every Apify Actor has a REST API and official Python and JavaScript clients. You can also connect it to Make, n8n, Zapier or the Apify MCP server for AI agents. Results land in the dataset and key-value store either way.

Is this an official Google API?

No. It reads publicly available Google Flights search results. It is not affiliated with, endorsed by or sponsored by Google LLC. "Google Flights" is a trademark of Google LLC, used here only to describe the data source.

Is scraping Google Flights legal?

That depends on your jurisdiction and your use. You are responsible for complying with Google's Terms of Service and applicable data-protection law. Use the data for legitimate research, market intelligence or your own travel planning, and do not overload Google's infrastructure.

Does it book tickets?

No. It only reads search results. Booking, payment, seat selection, hotels and car hire are out of scope.

Why is it slower than a pure-HTTP scraper?

It drives a real browser, which renders the same page a person sees. That is more robust to JavaScript-only content but slower than calling an internal API directly.

Limitations

• Browser-based — slower and heavier than pure-HTTP scrapers.
• Google UI changes can break selectors; retries and diagnostics are built in, but a major redesign may require an update.
• Prices are snapshots — Google updates fares continuously.
• Multi-city is per leg, not a single through-ticket price.
• No booking, seat selection, hotels or car hire.
• Result depth is limited to what Google exposes for the route and date.
• Flight numbers and per-layover details are not extracted — stops is, so you can filter nonstop versus connecting flights.
• Not every row has a price — Google sometimes shows "price unavailable"; those rows are flagged.

Support

Found a bug or need an extra field? Open an issue on the Actor's Issues tab in Apify Console and include:

• your input JSON (remove secrets),
• the run ID,
• what you expected versus what you got.

Disclaimer

This Actor accesses publicly available flight search data for legitimate research, market-intelligence and business-analysis purposes. It is not affiliated with, endorsed by or sponsored by Google LLC. Use it in compliance with Google's Terms of Service and all applicable laws, including data-protection regulations. The publisher is not responsible for misuse. No warranty is provided; verify prices before making travel decisions.

Keywords

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