# TripAdvisor Scraper (`xtracto/tripadvisor-scraper`) Actor Scrape TripAdvisor hotels, restaurants, and attractions by destination. Get structured names, addresses, coordinates, ratings, photos, phone numbers, and breadcrumb context — ideal for travel research, lead generation, and competitive analysis. - **URL**: https://apify.com/xtracto/tripadvisor-scraper.md - **Developed by:** [Xtractoo](https://apify.com/xtracto) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Scrape TripAdvisor hotels, restaurants, and attractions for any destination and get back clean structured data: names, addresses, coordinates, ratings, review counts, contact details, photos, and the full geographic breadcrumb — all in JSON, ready for analysis. Built for travel analysts, lead-gen teams, content publishers, and developers who need fresh, accurate TripAdvisor data without the hassle of writing and maintaining their own scraper. --- ### What you can do with it - **Hotel & restaurant market research** — pull every property in a destination and compare ratings, review volumes, price tiers, and locations. - **Lead generation** — extract phone numbers, websites, and structured addresses for outreach lists. - **Competitive intelligence** — see where competitors rank, how many reviews they have, and what guests say in numbers. - **Map / location products** — geocoded results (lat/lng) drop straight into mapping pipelines. - **Travel content sites** — power your own "best hotels in X" pages with fresh data. - **AI / LLM training & retrieval** — feed structured place data into RAG pipelines or recommendation systems. --- ### Why use this actor - **No TripAdvisor account required** — operates entirely on public data. - **No CAPTCHA solving on your side** — point it at a destination URL, it returns data. - **Geographic context built in** — every record includes its breadcrumb (region → country → city → neighbourhood), making it easy to roll up data by area. - **Reliable structured output** — 25+ fields per place, including a separate `address` object with street/city/region/country/postal_code. - **Three place types in one actor** — hotels, restaurants, and attractions all parse into the same record shape. - **Pay only for results** — straightforward per-record pricing on the Apify platform. --- ### How it works 1. You give the actor one or more destination URLs (the same URLs you would copy from TripAdvisor's hotels / things-to-do / restaurants list pages). 2. The actor opens each list page and extracts the full set of places it contains. 3. Each place is normalised into a clean record with its address, coordinates, rating, review count, photo, and contact details. 4. Optionally, the actor visits each place's detail page to fill in extra fields (amenities, descriptions, room counts, hours). 5. Records stream into the run's dataset as they are extracted — you can start using the data while the run is still going. The actor handles retries and proxy rotation automatically — you do not need to configure anything beyond your input URL. --- ### Input Minimum input is one destination URL. ```json { "mode": "hotels_list", "geo_urls": [ "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" ], "enrich_from_detail": false, "max_results": 100, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Required | Description | |---|---|---|---| | `mode` | string | yes | `hotels_list` (recommended), `tourism` (mixed POI list), or `hotel_detail` for explicit hotel URLs | | `geo_urls` | string\[] | for list modes | Full TripAdvisor list URLs, e.g. `https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html` | | `hotel_urls` | string\[] | for `hotel_detail` | Full `https://www.tripadvisor.com/Hotel_Review-...` URLs | | `enrich_from_detail` | boolean | no | When true, each list result is enriched with extra fields from its detail page (default false — keeps runs fast) | | `max_results` | integer | no | Hard cap on records (default 50) | | `proxy` | object | no | Apify proxy configuration; residential is recommended | How to find a destination URL: 1. Go to TripAdvisor.com. 2. Search for the destination (e.g. "Bali"). 3. Click "Hotels", "Things to Do", or "Restaurants" in the navigation. 4. Copy the URL — it will look like `https://www.tripadvisor.com/Hotels-g--Hotels.html`. *** ### Sample output One record per place. Real data from a Bali hotels run: ```json { "name": "Grand Mercure Bali Seminyak", "type": "Hotel", "position": 1, "location_id": "25240057", "geo_id": "469404", "url": "https://www.tripadvisor.com/HotelHighlight-g469404-d25240057-Reviews-Grand_Mercure_Bali_Seminyak-Seminyak_Kuta_District_Bali.html", "image": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2d/b2/96/20/hotel-s-facade-overlooking.jpg?w=1200&h=-1&s=1", "phone": "+62 361 9342900", "price_range": "€", "address": { "street": "Jalan Arjuna No. 40 Seminyak Kecamatan Kuta", "city": "Seminyak", "region": null, "country": "Indonesia", "postal_code": "80361" }, "lat": -8.696946, "lng": 115.16274, "rating": 4.8, "reviews_count": 1726, "best_rating": null, "worst_rating": null, "amenities": [], "amenity_count": 0, "breadcrumb": ["Asia", "Indonesia", "Bali"], "_source_url": "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" } ``` *** ### Output schema Every result has the same fields. Unset fields are `null`. | Field | Type | Description | |---|---|---| | `name` | string | Place name | | `type` | string | `Hotel`, `Restaurant`, `TouristAttraction`, `Resort`, `LodgingBusiness` | | `position` | integer | Position in the list (1-based) | | `location_id` | string | TripAdvisor's internal `d` | | `geo_id` | string | TripAdvisor's geographic `g` for the parent location | | `url` | string | Canonical TripAdvisor URL for the place | | `image` | string | Primary photo URL | | `phone` | string | Contact phone | | `email` | string | Email if listed | | `price_range` | string | Tier label (e.g. `$`, `$$$`, `€`) | | `description` | string | Place description (often filled when detail enrichment is on) | | `star_rating` | number | Hotel star classification (when available) | | `category` | string / string\[] | Service category — restaurants get cuisines here | | `address.street` | string | Street address | | `address.city` | string | City | | `address.region` | string | Region / state | | `address.country` | string | Country | | `address.postal_code` | string | Postcode | | `lat` / `lng` | numbers | Coordinates | | `rating` | number | Overall rating (0–5) | | `reviews_count` | integer | Total reviews | | `best_rating` / `worst_rating` | numbers | Scale bounds | | `amenities` | string\[] | Available amenities (richer when detail enrichment is on) | | `amenity_count` | integer | Length of `amenities` | | `pets_allowed` | string / null | Pet policy text | | `checkin_time` / `checkout_time` | string | Times when published | | `number_of_rooms` | integer | For hotels (when available) | | `served_cuisines` | string\[] | For restaurants | | `breadcrumb` | string\[] | Hierarchical location chain, e.g. `["Asia", "Indonesia", "Bali"]` | | `_source_url` | string | The list URL the record was scraped from | *** ### Tips - The hotels-list mode is the fastest and most reliable. Use it when you want everything in a city. - Enable `enrich_from_detail` only when you need amenities, descriptions, or room counts — it roughly doubles the runtime per record. - The actor exposes results in JSON, CSV, Excel, and XML directly from the Apify console. - Pair with the Apify Schedule feature to snapshot a destination weekly and track rating changes over time. # Actor input Schema ## `mode` (type: `string`): hotels\_list = scrape hotels for a destination URL. tourism = scrape mixed POIs from a Tourism destination URL. hotel\_detail = scrape individual hotel pages by URL. ## `geo_urls` (type: `array`): Full TripAdvisor URLs like https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html or https://www.tripadvisor.com/Tourism-g294226-Bali-Vacations.html. Copy these from your browser after searching a destination on TripAdvisor.com. ## `hotel_urls` (type: `array`): Full https://www.tripadvisor.com/Hotel\_Review-... URLs to scrape directly. ## `enrich_from_detail` (type: `boolean`): When enabled, the actor visits each hotel's detail page and merges in extra fields (description, amenities, room counts, check-in/out times, star rating). Adds ~1 second per result. Recommended ON for rich, marketing-ready records. ## `max_results` (type: `integer`): Hard cap on dataset rows. ## `max_concurrency` (type: `integer`): Parallel in-flight requests. Keep at 1 for the most reliable results. ## `proxy` (type: `object`): Apify proxy configuration. Residential is recommended for the best success rate; the actor automatically rotates exit IPs across up to 5 attempts if any one is rate-limited. ## Actor input object example ```json { "mode": "hotels_list", "geo_urls": [ "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" ], "hotel_urls": [], "enrich_from_detail": true, "max_results": 20, "max_concurrency": 1, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "mode": "hotels_list", "geo_urls": [ "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" ], "hotel_urls": [], "enrich_from_detail": true, "max_results": 20, "max_concurrency": 1, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/tripadvisor-scraper").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 = { "mode": "hotels_list", "geo_urls": ["https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html"], "hotel_urls": [], "enrich_from_detail": True, "max_results": 20, "max_concurrency": 1, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("xtracto/tripadvisor-scraper").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 '{ "mode": "hotels_list", "geo_urls": [ "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" ], "hotel_urls": [], "enrich_from_detail": true, "max_results": 20, "max_concurrency": 1, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call xtracto/tripadvisor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/tripadvisor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TripAdvisor Scraper", "description": "Scrape TripAdvisor hotels, restaurants, and attractions by destination. Get structured names, addresses, coordinates, ratings, photos, phone numbers, and breadcrumb context — ideal for travel research, lead generation, and competitive analysis.", "version": "0.3", "x-build-id": "wIBO3KcLTUvMB8BQp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~tripadvisor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-tripadvisor-scraper", "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/xtracto~tripadvisor-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-tripadvisor-scraper", "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/xtracto~tripadvisor-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-tripadvisor-scraper", "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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "hotels_list", "tourism", "hotel_detail" ], "type": "string", "description": "hotels_list = scrape hotels for a destination URL. tourism = scrape mixed POIs from a Tourism destination URL. hotel_detail = scrape individual hotel pages by URL.", "default": "hotels_list" }, "geo_urls": { "title": "Destination URLs (hotels_list / tourism mode)", "type": "array", "description": "Full TripAdvisor URLs like https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html or https://www.tripadvisor.com/Tourism-g294226-Bali-Vacations.html. Copy these from your browser after searching a destination on TripAdvisor.com.", "default": [ "https://www.tripadvisor.com/Hotels-g294226-Bali-Hotels.html" ], "items": { "type": "string" } }, "hotel_urls": { "title": "Hotel URLs (hotel_detail mode)", "type": "array", "description": "Full https://www.tripadvisor.com/Hotel_Review-... URLs to scrape directly.", "default": [], "items": { "type": "string" } }, "enrich_from_detail": { "title": "Enrich each list result with detail-page data", "type": "boolean", "description": "When enabled, the actor visits each hotel's detail page and merges in extra fields (description, amenities, room counts, check-in/out times, star rating). Adds ~1 second per result. Recommended ON for rich, marketing-ready records.", "default": false }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on dataset rows.", "default": 30 }, "max_concurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 4, "type": "integer", "description": "Parallel in-flight requests. Keep at 1 for the most reliable results.", "default": 1 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Residential is recommended for the best success rate; the actor automatically rotates exit IPs across up to 5 attempts if any one is rate-limited.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```