# Tripadvisor (Restaurants) (`canadesk/tripadvisor-restaurants`) Actor Get Locations and Restaurants with advanced filters from Tripadvisor. It's fast and costs little. - **URL**: https://apify.com/canadesk/tripadvisor-restaurants.md - **Developed by:** [Canadesk Support](https://apify.com/canadesk) (community) - **Categories:** Travel, Social media - **Stats:** 303 total users, 0 monthly users, 100.0% runs succeeded, 9 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 💡 Looking for reviews and details for a single location? Try **canadesk/tripadvisor-reviews** instead! ### Features This actor returns raw results. - **Search Location** The Location Input is free-text (see next section for types). The process runs the first compatible location (city, district, etc.). To make sure the process will evaluate the right location, you can first run "List Search Results" separately. - **Free Search** The Input is free-text. This will return any restaurant matched by Tripadvisor. This process does not support filters. They will be ignored. 🛑 Tripadvisor does not check free search results. For example, you may be looking for an exact address and still end up with restaurants from another country in the results. - **List Search Results** Data is automatically cached for 30 days by default. Disable cache or delete the storage "tripadvisor" manually to force a refresh. ### Limitations ⚡ Tripadvisor only accepts locations from a certain type. For example, exact addresses and entire countries are not supported. Accepted types: "CITY", "COUNTY", "ISLAND", "ISLAND_GROUP", "MUNICIPALITY", "NATIONAL_PARK", "PARISH", "PREFECTURE", "PROVINCE", "REGION", "TERRITORY". ### Example (Search Location) ```` { "restaurants": \[ { "locationId": 3228753, "name": "The Plough", "detailPageRoute": { "url": "/Restaurant\_Review-g186338-d3228753-Reviews-The\_Plough-London\_England.html" }, "location": { "geoPoint": { "latitude": 51.51776, "longitude": -0.125739 }, "distance": null }, "menu": { "menuUrl": "https://www.greeneking.co.uk/pubs/greater-london/plough/menu?utm\_source=exnet\&utm\_medium=locations\&utm\_campaign=UC\_menu", "hasProvider": false }, "offers": { "hasDelivery": null, "hasReservation": null, "slot1Offer": null, "slot2Offer": null, "restaurantSpecialOffer": null }, "neighborhoods": \[ { "neighborhood": { "name": "Bloomsbury" } } ], "cuisines": { "items": \[ { "tag": { "localizedName": "Bar" } }, { "tag": { "localizedName": "British" } }, { "tag": { "localizedName": "Pub" } } ] }, "establishmentTypes": { "items": \[ { "id": 16556, "tag": { "localizedName": "Quick Bites" } } ] }, "priceTypes": { "items": \[ { "secondaryName": "££ - £££" } ] }, "openHours": { "openStatus": "OPEN", "openStatusText": "Open now" }, "reviewSummary": { "count": 431, "rating": 4 }, "thumbnail": { "photo": { "photoSizeDynamic": { "urlTemplate": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1d/b6/64/35/the-plough-at-bloomsbury.jpg?w={width}\&h={height}\&s=1", "maxHeight": 3448, "maxWidth": 4592 } } }, "taLocation": { "names": { "parentGeo": "London" }, "bestAwardForActiveYear": { "year": 2024, "awardType": "COE" }, "hierarchy": { "parentGeoId": 186338 } }, "reviewSnippetsV2": null, "isSponsoredListing": true, "sponsoredListingData": { "restaurantRequestGuid": "e5fba1cb-3d82-49a6-a46b-cd4ef52541b9" }, "isAdsPreview": null, "storyboardStatus": false, "isPremium": false, "isLocalChef": false }, ... ] } ```` ### How it works. 1. Enter the location to find data for. 2. Set the language and maximum pages to return. 3. Select the process to run (e.g., Search Locations). 4. (Optional) Add filters. 5. Run it! 🎉 ### Support Always use a proxy (e.g., residential). Open a new issue. Please share your URL and Input. Cheers! # Actor input Schema ## `location` (type: `string`): The location to search data for. ## `process` (type: `string`): Process to run. ## `locale` (type: `string`): No description ## `diets` (type: `array`): No description ## `establishments` (type: `array`): No description ## `meals` (type: `array`): No description ## `prices` (type: `array`): No description ## `broaden` (type: `boolean`): Broaden results beyond exact location. ## `pages` (type: `integer`): Maximum number of pages to be returned (high impact on cost). ## `delay` (type: `integer`): Waiting time between requests (ms). ## `cache` (type: `string`): Enable cache for 90 days. ## `proxy` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "location": "los angeles", "process": "gr", "locale": "en-US", "broaden": false, "pages": 3, "delay": 1500, "cache": "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 = { "location": "los angeles", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("canadesk/tripadvisor-restaurants").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 = { "location": "los angeles", "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("canadesk/tripadvisor-restaurants").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 '{ "location": "los angeles", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call canadesk/tripadvisor-restaurants --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=canadesk/tripadvisor-restaurants", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tripadvisor (Restaurants)", "description": "Get Locations and Restaurants with advanced filters from Tripadvisor. It's fast and costs little.", "version": "1.8", "x-build-id": "hkbbQZc35MHFb5pd0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/canadesk~tripadvisor-restaurants/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-canadesk-tripadvisor-restaurants", "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/canadesk~tripadvisor-restaurants/runs": { "post": { "operationId": "runs-sync-canadesk-tripadvisor-restaurants", "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/canadesk~tripadvisor-restaurants/run-sync": { "post": { "operationId": "run-sync-canadesk-tripadvisor-restaurants", "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": [ "location", "locale", "process" ], "properties": { "location": { "title": "Location", "type": "string", "description": "The location to search data for.", "default": "los angeles" }, "process": { "title": "Process", "enum": [ "gr", "fr", "ls" ], "type": "string", "description": "Process to run.", "default": "gr" }, "locale": { "title": "Language", "enum": [ "en-US", "en-CA", "fr-CA", "pt-BR", "es-MX", "es-AR", "en-CL", "es-CO", "es-PE", "es-VE", "en-GB", "it-IT", "es-ES", "de-DE", "fr-FR", "sv-SE", "nl-NL", "tr-TR", "da-DK", "en-IE", "de-AT", "el-GR", "nb-NO", "pt-PT", "ru-RU", "de-CH", "fr-CH", "it-CH", "fr-BE", "nl-BE", "ja-JP", "zh-Hans", "zh-Hans-US", "en-IN", "en-AU", "en-MY", "en-NZ", "en-PH", "en-SG", "id-ID", "ko-KR", "th-u-ca-gregory", "vi-VN", "zh-Hant-TW", "en-HK", "zh-Hant-HK", "ar-US-u-nu-latn", "ar-EG-u-nu-latn", "he-IL" ], "type": "string", "description": "", "default": "en-US" }, "diets": { "title": "Filter - Diets", "type": "array", "description": "", "items": { "type": "string", "enum": [ "10665", "10697", "10992", "10751", "10768" ], "enumTitles": [ "Vegetarian Friendly", "Vegan Options", "Gluten Free Options", "Halal", "Kosher" ] } }, "establishments": { "title": "Filter - Establishment", "type": "array", "description": "", "items": { "type": "string", "enum": [ "10591", "16556", "9901", "9909", "11776", "9900", "16548" ], "enumTitles": [ "Restaurants", "Quick Bites", "Bakeries", "Dessert", "Bars & Pubs", "Coffee && Tea", "Speciality Food Market" ] } }, "meals": { "title": "Filter - Meals", "type": "array", "description": "", "items": { "type": "string", "enum": [ "10597", "10606", "10598", "10599" ], "enumTitles": [ "Breakfast", "Brunch", "Lunch", "Dinner" ] } }, "prices": { "title": "Filter - Prices", "type": "array", "description": "", "items": { "type": "string", "enum": [ "10953", "10955", "10954" ], "enumTitles": [ "Cheat Eats ($)", "Mid-range ($$ - $$$)", "Fine Dining ($$$$)" ] } }, "broaden": { "title": "Broadened search", "type": "boolean", "description": "Broaden results beyond exact location.", "default": false }, "pages": { "title": "Maximum pages", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of pages to be returned (high impact on cost).", "default": 3 }, "delay": { "title": "Delay", "minimum": 1000, "maximum": 60000, "type": "integer", "description": "Waiting time between requests (ms).", "default": 1500 }, "cache": { "title": "Cache", "enum": [ "1", "2" ], "type": "string", "description": "Enable cache for 90 days.", "default": "1" }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```