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Flight Price Monitoring on a Schedule

A monitoring run is small by design: one route, twelve itineraries, relative dates so a schedule never goes stale. Run it daily and the dataset becomes a price series for a specific trip, with the run summary showing the cheapest fare found each day. Cost: 12 itinerary rows at $0.005 = at most $0.06 a run.

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Google Flights Scraper — Airfare Prices, Fares & Price Tracking
Google Flights Scraper — Airfare Prices, Fares & Price Trackingkestrel/google-flights-prices
Type
Route
Depart date
Return date
+9 fields
Text
Number
Boolean
List
Object

Input

Routes:SYD-LAX
Departure date(required):30 days
Return date:44 days
Max itineraries per search:12
Currency:AUD
Market (country):au

Output fields

Type
Route
Depart date
Return date
Price
Currency
Airline
Stops
Duration
Depart time
Arrive time
Status
Error

How it works

Sign up on Apify or log in

The Google Flights Scraper — Airfare Prices, Fares & Price Tracking Actor is ready to run with the inputs already set for "Flight Price Monitoring on a Schedule". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Flight Price Monitoring on a Schedule" task

The Google Flights Scraper — Airfare Prices, Fares & Price Tracking Actor will start running based on the input automatically. You can also change all the input fields, like routes, departure date, and more, to match your specific use case.

Receive the "Flight Price Monitoring on a Schedule" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, route, depart date, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Flight Price Monitoring on a Schedule" task via API.

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Integrate "Flight Price Monitoring on a Schedule" into your workflow

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