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apify-hotel-price-monitoringlisted

Run hotel price monitoring on Google Hotels with the Apify Google Hotels Search Scraper Actor (johnvc/google-hotels-search-scraper). Poll the same destination and stay dates on a schedule, snapshot rate_per_night and total_rate per property with numeric extracted values, then diff snapshots keyed on property_token to alert on drops, watch competitor hotel rates, or chart how prices move as the stay date approaches. Use when the user wants hotel price monitoring, wants to track or watch hotel prices over time, monitor competitor hotel rates for a property or market, build a rate drop alert pipeline, or asks whether hotel prices go down closer to the date. Pay-per-page billing plus a small per-run setup fee, MCP-ready for Claude and other AI agents.
johnisanerd/claude-skill-hotel-price-monitoring · ★ 0 · AI & Automation · score 66
Install: claude install-skill johnisanerd/claude-skill-hotel-price-monitoring
# Hotel Price Monitoring: Rate Snapshots From Google Hotels Turn Google Hotels into a hotel price monitor. Each poll takes a destination and stay dates and returns every listed property with numeric nightly and total rates. Snapshot the run, diff it against the last one on `property_token`, and you have rate-drop alerts, competitor rate watching, or a price history for one market. ## When to use this skill - The user wants hotel price monitoring for a destination, a set of stay dates, or specific properties. - They want to watch competitor hotel rates (a hotelier checking the market around their property). - They want alerts when a rate drops below a threshold before a trip or an event. - They ask "do hotel prices go down closer to the date": monitor the same stay across days and answer with data. Not for: one-off exports of a single search (use the scrape-hotel-prices skill), booking or reservations (the Actor is read-only), or flight fare tracking (use the Google Flights Data Scraper). ## What each snapshot returns (one object per results page) Each dataset item is a page of results with `search_metadata` (`total_results`, `properties_count`, `pages_processed`, `pagination_limit_reached`) and a `properties` array. Per property: `name`, `type`, `rate_per_night` and `total_rate` (display `lowest` plus numeric `extracted_lowest` and before-tax variants), `overall_rating`, `reviews` count, `amenities`, `gps_coordinates`, `check_in_time`, `check_out_time`, and `property_to