Rate Parity Monitoring Across 30 Days
Tedj MEABIOU
Parity is rarely broken on every date - it breaks in pockets. Thirty consecutive check-in dates for one property in a single run show exactly where: near-in dates where the OTA holds the line, and far-out dates where a wholesaler rate leaks into a metasearch listing. Cost: 30 parity rows at $0.01 = at most $0.30 a run.
Input
Output fields
Sign up on Apify or log in
The Hotel Rate Parity Checker — OTA Price Comparison Actor is ready to run with the inputs already set for "Rate Parity Monitoring Across 30 Days". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Rate Parity Monitoring Across 30 Days" task
The Hotel Rate Parity Checker — OTA Price Comparison Actor will start running based on the input automatically. You can also change all the input fields, like properties by name, check-in, and more, to match your specific use case.
Receive the "Rate Parity Monitoring Across 30 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 property, check-in, check-out, 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 "Rate Parity Monitoring Across 30 Days" task via API.
