Track a competitor hotel rates for 90 days
Aleksandr Kobtsev
Track a competitor hotel's rates on Booking.com for the next 90 check-in dates. One row per date, carrying every rate the property offers: room type, nightly price, stay total, taxes, cancellation and prepayment terms, rooms left. Sold-out dates come back flagged rather than missing, so a gap in the calendar means no rooms and never a missed scrape.
Input
Output fields
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 "Track a competitor hotel rates for 90 days". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Track a competitor hotel rates for 90 days" 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 "Track a competitor hotel rates for 90 days" 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 "Track a competitor hotel rates for 90 days" task via API.

Integrate "Track a competitor hotel rates for 90 days" into your workflow
Connect "Track a competitor hotel rates for 90 days" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay