# Fast & Easy TripAdvisor Restaurant Leads (`duncan_cf/tripadvisor-restaurants`) Actor Scrape restaurant leads from TripAdvisor in one click. Country, city, or region - paste the URL, set your filters, get emails and phone numbers. No setup required. - **URL**: https://apify.com/duncan\_cf/tripadvisor-restaurants.md - **Developed by:** [Duncan CF](https://apify.com/duncan_cf) (community) - **Categories:** Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $9.90 / 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. 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 Restaurant Scraper Scrape restaurant contact data from TripAdvisor — name, phone, email, address, website, rating, cuisine, and price range — for any city, region, or country worldwide. ### How to use #### Step 1 — Get your Start URL Go to TripAdvisor and navigate to any of the following: - **A country page**: `https://www.tripadvisor.com/Restaurants-g187275-Germany.html` - **A city page**: `https://www.tripadvisor.com/Restaurants-g187514-Madrid.html` - **A region page**: `https://www.tripadvisor.com/Restaurants-g187443-Seville_Province_of_Seville_Andalucia.html` #### Step 2 — Apply filters (optional) On TripAdvisor, use the filter panel to select: - Cuisine type (French, Italian, Japanese...) - Price range (Budget, Mid-range, Fine Dining...) - Meal type (Breakfast, Lunch, Dinner...) - Minimum rating, online reservation, Travelers' Choice... Once filters are applied, copy the full URL from your browser — it will look like: `https://www.tripadvisor.com/FindRestaurants?geo=187514&cuisines=5086&priceTypes=10954%2C10955&broadened=false` Paste this URL directly into the **Start URL** field. #### Step 3 — Run the Actor The Actor auto-detects the URL type and: - **Country URL** → crawls all cities, then all restaurants in each city - **City/Region URL** → crawls all restaurants in that location - **FindRestaurants URL** → uses your pre-filtered results directly ### Output fields | Field | Description | |---|---| | `name` | Restaurant name | | `phone` | Phone number | | `email` | Email address (when available) | | `address` | Full address | | `website` | Restaurant website | | `rating` | TripAdvisor rating | | `reviewCount` | Number of reviews | | `priceRange` | Price range (€, €€, €€€...) | | `cuisine` | Cuisine type | | `latitude` | GPS latitude | | `longitude` | GPS longitude | | `url` | TripAdvisor page URL | ### Notes - Email is only available when the restaurant has published it on TripAdvisor - Running on a full country may take several hours and consume significant proxy credits - Start with a single city to validate results before scaling to a full country # Actor input Schema ## `startUrls` (type: `array`): One or more TripAdvisor URLs (country or city pages). Example: https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html ## `cuisineId` (type: `string`): TripAdvisor cuisine filter ID. Example: 5086 = French, 9908 = Italian, 10641 = Japanese. Leave empty for all cuisines. ## `establishmentType` (type: `string`): TripAdvisor establishment type ID. Default: 10591 (Restaurants). ## `priceTypes` (type: `string`): Comma-separated price range IDs. 10952 = $, 10953 = $$, 10954 = $$$, 10955 = $$$$. Example: 10954,10955 for $$$ and $$$$. Leave empty for all prices. ## `mealTypes` (type: `string`): Comma-separated meal type IDs. Leave empty for all meal types. ## `dishes` (type: `string`): Comma-separated dish IDs. Leave empty for all dishes. ## `minimumTravelerRating` (type: `string`): Minimum rating filter. Example: 40 = 4.0+, 45 = 4.5+. Leave empty for all ratings. ## `onlineOptions` (type: `string`): Online booking/delivery filter IDs. Leave empty for all options. ## `travelersChoice` (type: `string`): Set to true to filter Travelers Choice award winners only. Leave empty for all. ## `date` (type: `string`): Reservation date filter. Format: YYYY-MM-DD. Leave empty to ignore. ## `time` (type: `string`): Reservation time filter. Format: HH:MM. Leave empty to ignore. ## `guests` (type: `string`): Number of guests for reservation filter. Leave empty to ignore. ## `maxConcurrency` (type: `integer`): Number of parallel requests. Default: 2. Higher values are faster but increase the risk of being blocked by TripAdvisor. Recommended: 2-4. ## Actor input object example ```json { "startUrls": [ "https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html" ], "cuisineId": "", "establishmentType": "10591", "priceTypes": "", "mealTypes": "", "dishes": "", "minimumTravelerRating": "", "onlineOptions": "", "travelersChoice": "", "date": "", "time": "", "guests": "", "maxConcurrency": 2 } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `downloadCsv` (type: `string`): No description ## `downloadExcel` (type: `string`): No description ## `totalItems` (type: `string`): No description # 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 = { "startUrls": [ "https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html" ] }; // Run the Actor and wait for it to finish const run = await client.actor("duncan_cf/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 = { "startUrls": ["https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html"] } # Run the Actor and wait for it to finish run = client.actor("duncan_cf/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 '{ "startUrls": [ "https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html" ] }' | apify call duncan_cf/tripadvisor-restaurants --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=duncan_cf/tripadvisor-restaurants", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fast & Easy TripAdvisor Restaurant Leads", "description": "Scrape restaurant leads from TripAdvisor in one click. Country, city, or region - paste the URL, set your filters, get emails and phone numbers. No setup required.", "version": "0.0", "x-build-id": "00eOofELXfjf64fk7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/duncan_cf~tripadvisor-restaurants/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-duncan_cf-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/duncan_cf~tripadvisor-restaurants/runs": { "post": { "operationId": "runs-sync-duncan_cf-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/duncan_cf~tripadvisor-restaurants/run-sync": { "post": { "operationId": "run-sync-duncan_cf-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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "One or more TripAdvisor URLs (country or city pages). Example: https://www.tripadvisor.com/Restaurants-g190356-Luxembourg_City.html", "items": { "type": "string" } }, "cuisineId": { "title": "Cuisine ID (optional)", "type": "string", "description": "TripAdvisor cuisine filter ID. Example: 5086 = French, 9908 = Italian, 10641 = Japanese. Leave empty for all cuisines.", "default": "" }, "establishmentType": { "title": "Establishment Type (optional)", "type": "string", "description": "TripAdvisor establishment type ID. Default: 10591 (Restaurants).", "default": "10591" }, "priceTypes": { "title": "Price Range (optional)", "type": "string", "description": "Comma-separated price range IDs. 10952 = $, 10953 = $$, 10954 = $$$, 10955 = $$$$. Example: 10954,10955 for $$$ and $$$$. Leave empty for all prices.", "default": "" }, "mealTypes": { "title": "Meal Types (optional)", "type": "string", "description": "Comma-separated meal type IDs. Leave empty for all meal types.", "default": "" }, "dishes": { "title": "Dishes (optional)", "type": "string", "description": "Comma-separated dish IDs. Leave empty for all dishes.", "default": "" }, "minimumTravelerRating": { "title": "Minimum Traveler Rating (optional)", "type": "string", "description": "Minimum rating filter. Example: 40 = 4.0+, 45 = 4.5+. Leave empty for all ratings.", "default": "" }, "onlineOptions": { "title": "Online Options (optional)", "type": "string", "description": "Online booking/delivery filter IDs. Leave empty for all options.", "default": "" }, "travelersChoice": { "title": "Travelers Choice Only (optional)", "type": "string", "description": "Set to true to filter Travelers Choice award winners only. Leave empty for all.", "default": "" }, "date": { "title": "Date (optional)", "type": "string", "description": "Reservation date filter. Format: YYYY-MM-DD. Leave empty to ignore.", "default": "" }, "time": { "title": "Time (optional)", "type": "string", "description": "Reservation time filter. Format: HH:MM. Leave empty to ignore.", "default": "" }, "guests": { "title": "Guests (optional)", "type": "string", "description": "Number of guests for reservation filter. Leave empty to ignore.", "default": "" }, "maxConcurrency": { "title": "Max Concurrency (optional)", "type": "integer", "description": "Number of parallel requests. Default: 2. Higher values are faster but increase the risk of being blocked by TripAdvisor. Recommended: 2-4.", "default": 2 } } }, "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 } } } } } } } } } } ```