This Skill automates structured extraction from Booking.com for hotel and flight intelligence using a combination of Apollo SSR cache, LD+JSON, GraphQL pag…
This Skill automates structured extraction from Booking.com for hotel and flight intelligence using a combination of Apollo SSR cache, LD+JSON, GraphQL page.evaluate, and DOM parsing. Key operations: searchHotels(ss, checkin, checkout) returns hotel names, URLs and parsed country/slug; getHotelDetail(country, slug) returns the raw schema.org/Hotel LD+JSON block; getHotelPrices(slug) extracts room types, beds, sizes, and per-night pricing; getHotelReviews(slug) returns overall score, subscores, and featured reviews (requires hotel page open); searchFlights(route, from, to, depart) scrapes carrier, times, duration, stops, and prices on flights.booking.com. Use cases include travel planning, price monitoring, meta-search aggregation, competitive analysis, and automated booking assistants. Core advantages are resilient extraction from dynamic pages, declarative LD+JSON retrieval, and end-to-end workflows for both accommodations and flights.
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