Monitor one hotel rates for revenue management

Created by

Aleksandr Kobtsev

Actor

Booking.com Hotel Price Calendar Scraper

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.

Try for free

Booking.com Hotel Price Calendar Scraperaleksandrbooking/booking-rate-calendar

Hotel

Hotel ID

Check-in

Check-out

+17 fields

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

How it works

Sign up on Apify or log in

The Booking.com Hotel Price Calendar Scraper Actor is ready to run with the inputs already set for "Monitor one hotel rates for revenue management". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor one hotel rates for revenue management" task

The Booking.com Hotel Price Calendar Scraper Actor will start running based on the input automatically. You can also change all the input fields, like hotel page urls, how many check-in dates, and more, to match your specific use case.

Receive the "Monitor one hotel rates for revenue management" 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 hotel, hotel id, check-in, 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 "Monitor one hotel rates for revenue management" task via API.