Resolve Tripadvisor places into official IDs, discover ranked venues, retrieve full location details, and analyze paginated reviews through structured JSON.
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npx clawhub@latest install scavio-tripadvisor
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install scavio-tripadvisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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Tripadvisor via Scavio is an Openclaw Skills integration for travel research, hospitality intelligence, and local-business discovery. It converts a place or business name into Tripadvisor geo and location IDs, then provides ranked restaurants, hotels, attractions, detailed venue profiles, and review bodies through four structured JSON endpoints.
The skill gives AI agents a reliable workflow for destination research, competitive analysis, reputation monitoring, and review mining without guessing Tripadvisor identifiers. Every endpoint costs 2 credits, returns usage metadata, and supports Tripadvisor-specific ratings, rankings, amenities, contact details, review attributes, and management responses.
geo_id and location_id used by Tripadvisor URLs.SCAVIO_API_KEY is available and explain that each request costs 2 credits. A standard name-to-reviews workflow uses four calls and 8 credits before additional review pages.POST /api/v1/tripadvisor/locations. Select a GEO result for a city or region, or a business result containing both geo_id and location_id.POST /api/v1/tripadvisor/search with geo_id and one category: restaurants, hotels, or attractions. A full Tripadvisor listing URL may be used instead of geo_id.POST /api/v1/tripadvisor/location with location_id and geo_id, or provide a full location URL. The response includes the first page of reviews, so an additional page-1 review call is unnecessary.POST /api/v1/tripadvisor/reviews only for pages after the first. Use 15 reviews per page for restaurants and 10 for hotels and attractions.review_id, preserve the venue category, and attribute Tripadvisor ratings and rankings to Tripadvisor.export SCAVIO_API_KEY=sk_live_your_key
https://api.scavio.dev and send the key as a bearer token:curl -X POST https://api.scavio.dev/api/v1/tripadvisor/locations \\
-H "Authorization: Bearer $SCAVIO_API_KEY" \\
-H "Content-Type: application/json" \\
-d '{"query":"Austin, Texas","limit":12}'
pip install scavio==0.15.0
npm install [email protected]
SCAVIO_API_KEY from the environment. Keep API keys in environment variables or a secret manager, never in source control./locations; do not invent geo_id or location_id values. Use the returned IDs for search, location, and review requests.All responses use the envelope { data, response_time, credits_used, credits_remaining }.
| Endpoint | Primary data | Key fields |
|---|---|---|
/locations |
Name resolution results | query, count, results[], type, name, geo_id, location_id, url, coordinates, and category |
/search |
Ranked destination listings | geo_id, category, page, breadcrumbs, venue IDs, rank, rating, review count, pricing, cuisines, address, hours, contact data, descriptions, photos, and sponsorship flags |
/location |
Full venue profile | Identity, description, rating distribution, sub-ratings, city ranking, pricing, cuisines, meal types, dietary options, amenities, features, address, contact details, hours, images, and reviews[] for page 1 |
/reviews |
Paginated review records | Venue identity, rating summary, pagination metadata, review_id, title, text, dates, trip type, author details, helpful votes, and owner response fields |
geo_id identifies a Tripadvisor destination, city, or region and is required for geographic searches.location_id identifies an individual restaurant, hotel, or attraction.GEO lookup result has a geo_id and a null location_id.geo_id plus location_id pair used by venue and review requests.30196 or 1899234, prefixed values such as g30196 or d1899234, or inside Tripadvisor URLs.locations supports a single response limit from 1 to 20; its limit parameter is not pagination.review_id.credits_used and credits_remaining in the response envelope for budget-aware Openclaw Skills workflows.Loading
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