Go to example tasks
Agoda Price Tracker: 100 Lisbon Hotels, Daily
One hundred Lisbon properties for a two-night stay thirty days out, in EUR. The relative date keeps a daily schedule pointed at the same lead time; hotel_id is the stable join key and fetched_at the timestamp, so a month of runs is a per-property price history with no rate-shopping subscription. Cost: 100 hotel rows at $0.004 = at most $0.40 a run.
Agoda Prices Scraper — Hotel Rates & Availability by Datekestrel/agoda-prices-scraper
Hotel name
Stars
Review score
Nightly
+9 fieldsTextNumberBooleanListObject
Input
Destinations:Lisbon
Check-in:30 days
Nights:2
Currency:EUR
Max hotels per destination:100
Output fields
Hotel name
Stars
Review score
Nightly
Total incl. taxes
Currency
Free cancellation
City
Area
Check in
Nights
Rank
Page
Sign up on Apify01
Create your Apify account to access the Agoda Prices Scraper — Hotel Rates & Availability by Date.
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.
