Checking hotel prices on every booking site at once (and catching rate parity problems)

Описание и применение

Автоматизированный мониторинг цен отелей через Google Hotels позволяет выявлять расхождения цен между собственным сайтом отеля и OTA, сокращая ручной труд и повышая точность обнаружения проблем с ценовой парадигмой.

Задача

Hotels lose revenue when their own site lists higher prices than OTAs, creating rate parity problems that are hard to detect manually.

Результат

The monitor identifies a 15.93% parity gap for Hotel Botânico on 2026-10-23/25, demonstrating the tool’s ability to surface undercutting OTA prices quickly.

Рабочий процесс

• 1. Provide input JSON with hotel names, daysAhead, rollingDates, nights, adults, currency.
• 2. Actor queries Google Hotels page for each hotel.
• 3. Actor extracts price list for requested dates, discarding rows with mismatched dates.
• 4. Actor outputs JSON rows with lowest price, official site price, parityGapPct, and change detection in monitor mode.
• 5. Optional Python script consumes dataset, filters gaps >5%, and sends alerts to Slack.

Доказательства

Google Hotels Rate Monitor on Apify

Источник

Look at parityGapPct. The hotel's own site is almost 16% more expensive than the cheapest OTA.

No subscription: $0.005 per run start, $0.003 per hotel and date checked, $0.0005 per change row.