Go to example tasks
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.
Google Flights Scraper — Airfare Prices & Price Trackingkestrel/google-flights-prices
Type
Route
Depart date
Return date
+9 fieldsTextNumberBooleanListObject
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
Sign up on Apify01
Create your Apify account to access the Google Flights Scraper — Airfare Prices & Price Tracking.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
