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"Place details", "eventDescription": "One place-details record: rating, ranking, price range, amenities, photos, popular mentions, official category subratings and AI review summary.", "isOneTimeEvent": false, "eventTieredPricingUsd": { "FREE": { "tieredEventPriceUsd": 0.002 }, "BRONZE": { "tieredEventPriceUsd": 0.0018 }, "SILVER": { "tieredEventPriceUsd": 0.0016 }, "GOLD": { "tieredEventPriceUsd": 0.0014 }, "PLATINUM": { "tieredEventPriceUsd": 0.0012 }, "DIAMOND": { "tieredEventPriceUsd": 0.001 } } }, "apify-actor-start": { "eventTitle": "Actor Start", "eventDescription": "Charged when the Actor starts running. 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Outputs structured, LLM-ready data including full review text, star rating, travel and published dates, helpful votes, per-review subratings, owner/management responses, reviewer profile metadata, and place-level metadata such as name, address, geolocation, overall rating, structured city ranking, price range, class, amenities, photos, official category subratings, and TripAdvisor’s AI-generated review summary with attribute chips. Built on stable static-key TripAdvisor endpoints for resilient extraction at scale; results are provided in structured formats for analysis, benchmarking, sentiment mining, and AI/RAG workflows.\n\n## Use cases\n\n- Hotels & hospitality: monitor a property’s and competitors’ reviews, subratings, rankings, and owner-response activity.\n- Market and academic research: build comprehensive review datasets across a whole city, category, or brand.\n- Reputation and BI teams: track sentiment trends, owner-response rates, category scores, and perform subrating benchmarking.\n- AI / RAG builders: ingest LLM-ready markdown summaries and review text into vector stores or agents for retrieval-augmented applications.\n- Scrape all reviews for a single property to create a complete historical dataset.\n- Ongoing monitoring: run periodic extraction and filter by review date to capture only new reviews.\n- City or category discovery: search a city or property keyword to list matching places with full place metadata, then extract their reviews.\n- Complaint mining and analysis: filter reviews by low ratings to surface complaints and negative feedback for remediation.\n- Competitor benchmarking: aggregate per-place official subratings (e.g., cleanliness, service, value, location, rooms, sleep quality) across multiple properties.\n- Airline review extraction: collect airline review text, ratings, reviewer profiles, and owner responses where available.", "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDPdMMdg1/GdKPug8G31FpJHUjh1u3EaNlkqhbj1QzCvMU8+Oncv2sxmOtnygMquqDmVfey8+HhcQ/c5sduECtNYXu7qSw4Z642W57SSVzqQzX0Cj1Ah+xXhfzjZ2i/RwcTm0ef4JKBfzk9ozS2YI6a0tYAVkvL1t0aObJ0ofrrb7wtl2uUzqkqKebukSsfNy1bjuPwMDzXFGewiGAcJ7pfdgy8rXcRR4SmSWthcu6/QLtF61NLfwThNQKoxmj/5iujI9klYLeAF+CN+pGXt/XfiGVhAemaoHWXOknCCtowH3Xu5UFgNFS17easvLmvT84YwO7vpW5g7Nb9LgQ43167 \n" } }