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Monitor one hotel rates for revenue management
Created by
Aleksandr Kobtsev
Follow a single property across 90 check-in dates, the window most revenue managers actually price. Put the run on a daily schedule and keep each dataset: a change in minPricePerNight is a rate move, a change in soldOut is the market filling up, and scrapedAt keeps the history straight.
Booking.com Hotel Price Calendar Scraperaleksandrbooking/booking-rate-calendar
Hotel
Hotel ID
Check-in
Check-out
+17 fieldsTextNumberBooleanListObject
Input
Hotel page URLs(required):https://www.booking.com/hotel/ae/rove-downtown-dubai.html
How many check-in dates:90
Nights per stay:1
Adults:2
Currency:USD
Language:en-gb
Output fields
Hotel
Hotel ID
Check-in
Check-out
Nights
Adults
Rooms
Sold out
Cheapest / night
Taxes included
Cheapest total
Before discount
Taxes on cheapest
Currency
Room
Cancellation
Prepayment
Rooms left
Offers
Hotel page
Scraped at
Sign up on Apify01
Create your Apify account to access the Booking.com Hotel Price Calendar Scraper.
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.
