# TripAdvisor Scraper - Hotels, Restaurants & Attractions (`thirdwatch/tripadvisor-scraper`) Actor Scrape TripAdvisor hotels, restaurants, and attractions: names, ratings, reviews, prices, rankings, addresses, images. Supports search queries with location and type filtering. - **URL**: https://apify.com/thirdwatch/tripadvisor-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Travel, News, Other - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 - Hotels, Restaurants & Attractions > Scrape TripAdvisor hotels, restaurants, and attractions. Get names, ratings, reviews, prices, rankings, and addresses. ### What you get Extract listing data from TripAdvisor for hotels, restaurants, and attractions. Get names, ratings, review counts, prices, rankings, addresses, and images. Search by query with location and type filtering. ### Output fields | Field | Description | |-------|-------------| | `name` | Business name | | `rating` | TripAdvisor rating | | `review_count` | Number of reviews | | `price_range` | Price level | | `ranking` | Ranking in category | | `address` | Full address | | `categories` | Business categories | | `image_url` | Main image URL | | `url` | TripAdvisor listing URL | ### Example output ```json { "name": "The Ritz London", "rating": 4.5, "review_count": 8500, "price_range": "$$$$", "ranking": "#5 of 1,200 hotels in London", "address": "150 Piccadilly, London W1J 9BR", "categories": ["Hotel", "Luxury"], "url": "https://www.tripadvisor.com/Hotel_Review-..." } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `searchQuery` | Yes | Search query (e.g., "london hotels", "paris restaurants") | | `searchType` | No | Filter: hotels, restaurants, or attractions (default: hotels) | | `maxResults` | No | Max results (default: 50) | | `includeReviews` | No | Fetch individual reviews per listing (default: false) | | `maxReviewsPerListing` | No | Max reviews per listing when reviews enabled (default: 10) | ### Use cases - **Travel companies**: Compare hotel and restaurant ratings across destinations - **Hospitality industry**: Monitor competitor reviews and rankings - **Travel content**: Research top-rated attractions and experiences - **Market analysts**: Study tourism trends by destination ### Limitations - Individual reviews available when `includeReviews` is enabled (slower) - Rankings and prices change frequently - Some properties may have limited data # Actor input Schema ## `searchQuery` (type: `string`): Search query like 'london hotels', 'paris restaurants', 'rome attractions'. The scraper will search TripAdvisor and scrape results. ## `searchType` (type: `string`): Type of listings to scrape. ## `maxResults` (type: `integer`): Maximum number of listings to scrape. ## `includeReviews` (type: `boolean`): Whether to scrape individual reviews for each listing (slower but more data). ## `maxReviewsPerListing` (type: `integer`): Maximum reviews to scrape per listing (only if includeReviews is true). ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "searchQuery": "london hotels", "searchType": "hotels", "maxResults": 50, "includeReviews": false, "maxReviewsPerListing": 10, "proxyConfiguration": { "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 = { "searchQuery": "london hotels", "searchType": "hotels", "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/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 = { "searchQuery": "london hotels", "searchType": "hotels", "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "searchQuery": "london hotels", "searchType": "hotels", "maxResults": 50 }' | apify call thirdwatch/tripadvisor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/tripadvisor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TripAdvisor Scraper - Hotels, Restaurants & Attractions", "description": "Scrape TripAdvisor hotels, restaurants, and attractions: names, ratings, reviews, prices, rankings, addresses, images. Supports search queries with location and type filtering.", "version": "1.0", "x-build-id": "HXW8YNdr4mO0KaIxW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~tripadvisor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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/thirdwatch~tripadvisor-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-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/thirdwatch~tripadvisor-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search query like 'london hotels', 'paris restaurants', 'rome attractions'. The scraper will search TripAdvisor and scrape results.", "default": "london hotels" }, "searchType": { "title": "Search Type", "enum": [ "hotels", "restaurants", "attractions" ], "type": "string", "description": "Type of listings to scrape.", "default": "hotels" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to scrape.", "default": 50 }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Whether to scrape individual reviews for each listing (slower but more data).", "default": false }, "maxReviewsPerListing": { "title": "Max Reviews Per Listing", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum reviews to scrape per listing (only if includeReviews is true).", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results.", "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 } } } } } } } } } } ```