# Tripadvisor Scraper API - Reviews, Hotels, Restaurants & Search (`santhej/tripadvisor-scraper-pro`) Actor Scrape Tripadvisor at scale: reviews, hotels, restaurants, attractions. Two modes — paste a URL to extract reviews, or search by keyword + location to discover places (with optional reviews). Rating distribution, sub-ratings, owner responses, photos. Enterprise infrastructure. No login. - **URL**: https://apify.com/santhej/tripadvisor-scraper-pro.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** Real estate, Travel, MCP servers - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Tripadvisor Scraper API — Reviews, Hotels, Restaurants & Search **Scrape Tripadvisor at scale. Reviews, hotels, restaurants, attractions, and vacation rentals — all from one actor.** Two modes in a single tool. Paste a Tripadvisor URL to extract all reviews, or search by keyword + location to discover places (optionally with their reviews bundled). Returns rating distribution, sub-ratings, owner responses, photos, reviewer profiles, and structured place metadata. Built on enterprise-grade backend infrastructure — no login, no anti-bot breakage, no permission prompts. --- ### Why this Tripadvisor scraper | | This actor | Other Tripadvisor scrapers | |---|---|---| | Price | **$0.30 / 1,000 reviews** | $0.50–$5.00 / 1,000 reviews | | Reliability | Enterprise API backend | HTML scraping (breaks on layout changes) | | Search + Reviews combo | ✅ One actor, both modes | ❌ Usually split across two actors | | Account permissions | None required | Some require full account access | | Rating distribution (1–5★ histogram) | ✅ Included | ❌ Rarely surfaced | | Sub-ratings (cleanliness, service, etc.) | ✅ When Tripadvisor exposes them | ✅/❌ Inconsistent across all scrapers | | Owner responses | ✅ Full text + role + date | ✅/❌ | **Direct comparison vs popular alternatives on Apify:** - **maxcopell/tripadvisor-reviews** — $5/1K free tier (drops to $0.30/1K on Diamond), requires "full account access" permission - **api-ninja/tripadvisor-reviews-scraper** — $0.50/1K, no search-mode bundle - **thewolves/tripadvisor-reviews-scraper** — $0.50/1K, but observed 100% silent failure (`{noResults: true}`) on a real test This actor is **flat $0.30/1K reviews, no tiers, no friction.** --- ### What it can scrape - ⭐ **Reviews** — full text, title, rating, sub-ratings, language, owner responses, photos - 🏨 **Hotels** — listings, ratings, review counts, location, rating distribution - 🍽️ **Restaurants** — same metadata, plus categories - 🎢 **Attractions, tours, things to do** - 🏖️ **Vacation rentals** - 👤 **Reviewer profiles** — name, location, avatar, contribution count - 💬 **Owner / management responses** — text, role, language, date --- ### Two modes #### Mode A — Reviews from URLs Paste one or more Tripadvisor place URLs. The actor extracts all reviews up to `maxReviewsPerPlace`. ```json { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" ], "maxReviewsPerPlace": 50, "priority": "high" } ```` #### Mode B — Search + (optional) reviews Discover places by keyword + location. Optionally pull reviews for each found place in the same run. ```json { "searchQuery": "italian restaurants", "locationName": "New York,New York,United States", "maxPlaces": 20, "includeReviewsForSearchedPlaces": true, "maxReviewsPerPlace": 50, "priority": "high" } ``` The actor auto-detects the mode from the input — provide `urls` OR `searchQuery`, not both. *** ### Use cases - Track competitor reviews for hotels, restaurants, attractions - Build a custom Tripadvisor reviews dataset for NLP / sentiment analysis - Hospitality brand monitoring (owner responses, recurring complaints) - Lead-gen: extract reviewer locations, contact-able profiles - Travel content aggregation - Reputation management dashboards - Market research for hospitality and tourism - Sentiment trend analysis by season, traveler type, language *** ### Pricing Pay-per-event. No subscription, no minimums. | Event | Price | When charged | |---|---|---| | Actor start | **$0.005** | Once per run | | Place returned | **$0.003** | Each Tripadvisor place returned (search mode) | | Review returned | **$0.0003** | Each review extracted ($0.30 per 1,000) | **Cost examples:** | Run | Cost | |---|---| | 1 hotel URL, 50 reviews | $0.005 + 50 × $0.0003 = **$0.020** | | 1 URL, 500 reviews | $0.005 + 500 × $0.0003 = **$0.155** | | Search "hotels NYC", 20 places (no reviews) | $0.005 + 20 × $0.003 = **$0.065** | | Search 20 places + 50 reviews each | $0.005 + $0.060 + 1,000 × $0.0003 = **$0.365** | *** ### Output schema Each dataset record is one of: `place`, `review`, or `run_summary`. #### `review` record (truncated example) ```json { "record_type": "review", "place_url": "https://www.tripadvisor.com/Hotel_Review-...html", "place_title": "Hilton New York Times Square", "place_reviews_count": 8959, "place_overall_rating": 4.3, "review_id": "1060777457", "title": "Just need a clean room to shower and sleep!", "text": "AVOID FOR BUSINESS TRAVEL...", "rating": 1, "date_of_visit": "2026-05-31", "published_at": "2026-05-18", "language": "en", "original_language": "en", "is_translated": false, "reviewer_name": "Ben T", "reviewer_location": null, "reviewer_reviews_count": 4, "images": ["https://...caption.jpg", "https://..."], "owner_responses": [], "sub_ratings": [] } ``` #### `place` record ```json { "record_type": "place", "title": "Hilton New York Times Square", "location": "234 West 42nd Street, 10036, New York City, New York, US", "rating": 4.3, "reviews_count": 8959, "rating_distribution": { "1": 272, "2": 294, "3": 709, "4": 2576, "5": 5108 }, "url": "https://www.tripadvisor.com/Hotel_Review-...html" } ``` #### Run summary (KV store `OUTPUT`) Totals, costs, mode, task pass/fail counts. *** ### FAQ **Does this scrape Tripadvisor's HTML directly?** No. It uses a paid enterprise data API backend, so it doesn't break when Tripadvisor changes their HTML. **Why don't you need my Tripadvisor login?** The backend already has authorized access. You never share credentials. **What's the maximum reviews per place?** 4,490 — Tripadvisor's hard ceiling per listing. **How long does a run take?** On `priority: "high"` (default): ~1 minute per place. On `priority: "standard"`: up to 45 minutes per place but cheaper backend cost (same price to you). **Why was a review missing sub-ratings?** Tripadvisor only exposes sub-ratings on certain reviews — same field inconsistency as on their own website. We pass through whatever is available. **Can I get reviews in a specific language?** The backend respects Tripadvisor's locale settings via `languageCode`. Each review record also includes `language` and `original_language` so you can filter downstream. **Can I run this from n8n, Make, Zapier?** Yes — set `webhookUrl` and the actor POSTs a JSON run summary on completion. *** ### Tags `tripadvisor scraper`, `tripadvisor api`, `tripadvisor reviews api`, `tripadvisor reviews scraper`, `scrape tripadvisor`, `tripadvisor data extraction`, `hotel reviews scraper`, `restaurant reviews api`, `tripadvisor hotels scraper`, `tripadvisor restaurants scraper`, `tripadvisor places`, `review extractor` # Actor input Schema ## `urls` (type: `array`): Paste one or more Tripadvisor place URLs (hotels, restaurants, attractions, vacation rentals). The actor will pull reviews for each. Leave empty if you want search mode instead. ## `searchQuery` (type: `string`): Keyword to search for on Tripadvisor — e.g. 'italian restaurants', 'luxury hotels', 'museums'. Combined with 'locationName' to discover places. Leave empty if you're using 'urls' mode. ## `locationName` (type: `string`): Location to search in. MUST be in 3-part format 'City,Region,Country' — examples: 'New York,New York,United States', 'London,England,United Kingdom', 'Paris,Ile-de-France,France', 'Tokyo,Tokyo,Japan', 'Rome,Lazio,Italy'. Used together with 'searchQuery'. If empty, defaults to United States (overall). ## `locationCode` (type: `string`): Numeric country/region code (e.g. '2840' for United States, '2826' for UK). Used only if 'locationName' is empty. ISO-style country codes from DataForSEO's location API. ## `maxPlaces` (type: `integer`): How many places to return from the search. Each charges 1 'place' event ($0.003). Default 20, max 700. ## `includeReviewsForSearchedPlaces` (type: `boolean`): If checked AND using search mode: for each place found, also pull reviews (up to 'maxReviewsPerPlace' each). Each review charges 1 'review' event ($0.0003). ## `maxReviewsPerPlace` (type: `integer`): Maximum number of reviews to fetch per place. Applies to both 'urls' mode and 'includeReviewsForSearchedPlaces'. Default 50, max 4490 (Tripadvisor's per-place limit). ## `priority` (type: `string`): 'standard' = cheaper, may take up to 45 min for results. 'high' = ~1-minute turnaround, 2× the backend cost (your charges to Apify users are the same — just our internal margin shifts). Use 'high' for interactive use. ## `languageCode` (type: `string`): ISO 639-1 language code for search results (e.g. 'en', 'es', 'fr', 'de'). Affects which Tripadvisor regional version is queried. ## `maxBudgetUsd` (type: `number`): Optional safety cap. If set, the actor refuses to start runs whose estimated max charges exceed this. Leave empty for no cap. ## `webhookUrl` (type: `string`): If set, the actor POSTs a JSON run summary to this URL on completion. Useful for n8n, Make.com, Zapier, Slack. ## `demoMode` (type: `boolean`): If checked, runs a health check WITHOUT making API calls. Useful to verify config without spending credits. ## Actor input object example ```json { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" ], "maxPlaces": 20, "includeReviewsForSearchedPlaces": false, "maxReviewsPerPlace": 50, "priority": "high", "languageCode": "en", "demoMode": false } ``` # Actor output Schema ## `dataset` (type: `string`): All place and review records in chronological order. ## `summary` (type: `string`): High-level run summary: counts, costs, mode, task results. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/tripadvisor-scraper-pro").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"] } # Run the Actor and wait for it to finish run = client.actor("santhej/tripadvisor-scraper-pro").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" ] }' | apify call santhej/tripadvisor-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/tripadvisor-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tripadvisor Scraper API - Reviews, Hotels, Restaurants & Search", "description": "Scrape Tripadvisor at scale: reviews, hotels, restaurants, attractions. Two modes — paste a URL to extract reviews, or search by keyword + location to discover places (with optional reviews). Rating distribution, sub-ratings, owner responses, photos. Enterprise infrastructure. No login.", "version": "0.0", "x-build-id": "vNWcboNro51jqVtUf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~tripadvisor-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-tripadvisor-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santhej~tripadvisor-scraper-pro/runs": { "post": { "operationId": "runs-sync-santhej-tripadvisor-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santhej~tripadvisor-scraper-pro/run-sync": { "post": { "operationId": "run-sync-santhej-tripadvisor-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "Tripadvisor URLs (reviews mode)", "maxItems": 100, "type": "array", "description": "Paste one or more Tripadvisor place URLs (hotels, restaurants, attractions, vacation rentals). The actor will pull reviews for each. Leave empty if you want search mode instead.", "items": { "type": "string" } }, "searchQuery": { "title": "Search keyword (search mode)", "type": "string", "description": "Keyword to search for on Tripadvisor — e.g. 'italian restaurants', 'luxury hotels', 'museums'. Combined with 'locationName' to discover places. Leave empty if you're using 'urls' mode." }, "locationName": { "title": "Location (search mode)", "type": "string", "description": "Location to search in. MUST be in 3-part format 'City,Region,Country' — examples: 'New York,New York,United States', 'London,England,United Kingdom', 'Paris,Ile-de-France,France', 'Tokyo,Tokyo,Japan', 'Rome,Lazio,Italy'. Used together with 'searchQuery'. If empty, defaults to United States (overall)." }, "locationCode": { "title": "Location code (alternative to locationName)", "type": "string", "description": "Numeric country/region code (e.g. '2840' for United States, '2826' for UK). Used only if 'locationName' is empty. ISO-style country codes from DataForSEO's location API." }, "maxPlaces": { "title": "Max places to return (search mode)", "minimum": 1, "maximum": 700, "type": "integer", "description": "How many places to return from the search. Each charges 1 'place' event ($0.003). Default 20, max 700.", "default": 20 }, "includeReviewsForSearchedPlaces": { "title": "Also fetch reviews for searched places", "type": "boolean", "description": "If checked AND using search mode: for each place found, also pull reviews (up to 'maxReviewsPerPlace' each). Each review charges 1 'review' event ($0.0003).", "default": false }, "maxReviewsPerPlace": { "title": "Max reviews per place", "minimum": 1, "maximum": 4490, "type": "integer", "description": "Maximum number of reviews to fetch per place. Applies to both 'urls' mode and 'includeReviewsForSearchedPlaces'. Default 50, max 4490 (Tripadvisor's per-place limit).", "default": 50 }, "priority": { "title": "Speed vs cost", "enum": [ "standard", "high" ], "type": "string", "description": "'standard' = cheaper, may take up to 45 min for results. 'high' = ~1-minute turnaround, 2× the backend cost (your charges to Apify users are the same — just our internal margin shifts). Use 'high' for interactive use.", "default": "high" }, "languageCode": { "title": "Language code", "type": "string", "description": "ISO 639-1 language code for search results (e.g. 'en', 'es', 'fr', 'de'). Affects which Tripadvisor regional version is queried.", "default": "en" }, "maxBudgetUsd": { "title": "Max budget for this run (USD)", "minimum": 0.01, "type": "number", "description": "Optional safety cap. If set, the actor refuses to start runs whose estimated max charges exceed this. Leave empty for no cap." }, "webhookUrl": { "title": "Webhook URL (optional)", "type": "string", "description": "If set, the actor POSTs a JSON run summary to this URL on completion. Useful for n8n, Make.com, Zapier, Slack." }, "demoMode": { "title": "Demo / health-check mode", "type": "boolean", "description": "If checked, runs a health check WITHOUT making API calls. Useful to verify config without spending credits.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```