# TripAdvisor Scraper - Hotels, Restaurants & Attractions (`rupom888/tripadvisor-scraper`) Actor - **URL**: https://apify.com/rupom888/tripadvisor-scraper.md - **Developed by:** [Syed Rupom](https://apify.com/rupom888) (community) - **Categories:** Travel, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Extract rich data from TripAdvisor at scale. Scrape hotels, restaurants, and attractions by city/region or direct URL. Returns 30+ fields per result including ratings, reviews, prices, amenities, photos, coordinates, hours, and more. ### Features - **Multi-type**: Hotels, Restaurants, Attractions, Vacation Rentals - **Rich data**: Rating breakdown (cleanliness/service/value/location), awards (Travelers' Choice), photos, review snippets, review tags - **Contacts**: Phone, website, email (with `Scrape Detail Pages` enabled) - **Location**: Coordinates (lat/lng), structured address (street, city, region, postal, country) - **Hours**: Operating schedule for restaurants and attractions - **Pagination**: Automatically fetches multiple pages to reach your result limit - **Direct URLs**: Pass any TripAdvisor list or search URL via `startUrls` - **Filtering**: Min rating, min stars, amenity keywords, sort order ### Output Fields | Field | Description | |-------|-------------| | `item_id` | TripAdvisor location ID | | `type` | hotel / restaurant / attraction | | `name` | Property name | | `star_rating` | Hotel class (1–5 stars) | | `guest_rating` | TripAdvisor bubble rating (1.0–5.0) | | `review_count` | Total review count | | `ranking` | TripAdvisor ranking string | | `nightly_price` | Price per night / cover charge | | `price_tier` | Price category ($, $$, $$$, $$$$) | | `url` | TripAdvisor page URL | | `address` | Full address string | | `address_structured` | `{street, city, region, postal, country}` | | `latitude` | GPS latitude | | `longitude` | GPS longitude | | `phone` | Phone number (requires scrapeDetails=true) | | `website` | Property website (requires scrapeDetails=true) | | `amenities` | Array of amenity names (hotels) | | `cuisines` | Cuisine types (restaurants) | | `meals` | Meal types served (restaurants) | | `hours` | Operating hours by day | | `awards` | Travelers' Choice, Certificate of Excellence, etc. | | `rating_breakdown` | Cleanliness, Service, Value, Location, Sleep Quality | | `photos` | Array of photo URLs (up to 10) | | `review_snippets` | Recent review excerpts | | `review_tags` | Common review topics with mention counts | | `description` | Property description | ### Input ```json { "location": ["Atlanta, Georgia", "Miami, Florida"], "placeType": "hotel", "resultsWanted": 100, "minRating": 4.0, "minStars": 3, "amenities": ["pool", "spa"], "sort": "GUEST_RATING", "scrapeDetails": false, "checkIn": "2026-08-01", "checkOut": "2026-08-03", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Use Cases - Hotel research with specific amenity filters - Restaurant discovery with cuisine and hours - Travel content and guide creation - Competitive pricing analysis - Hospitality lead generation - Price and rating monitoring over time ### Proxy Residential proxies required — datacenter IPs are blocked by TripAdvisor. # Actor input Schema ## `location` (type: `array`): City/region names to search. E.g. \['Atlanta, Georgia', 'Miami, Florida'] ## `startUrls` (type: `array`): Direct TripAdvisor URLs (hotel list, restaurant list, attraction list, or individual pages). Overrides Location when provided. ## `placeType` (type: `string`): What type of places to scrape. ## `checkIn` (type: `string`): Check-in date for hotel price lookup (YYYY-MM-DD). ## `checkOut` (type: `string`): Check-out date (YYYY-MM-DD). ## `resultsWanted` (type: `integer`): Max results per location (across all pages). Use deepSearch=true to get 3000+ results by scraping neighborhood sub-areas. ## `deepSearch` (type: `boolean`): When enabled, discovers neighborhood sub-areas within the city and scrapes each one separately, then aggregates results. Bypasses TripAdvisor's ~1000 result limit per query. Slower but returns many more results. ## `minRating` (type: `number`): Minimum bubble rating (0–5). E.g. 4.0 filters to 4+ bubble rated places. ## `minStars` (type: `integer`): Minimum hotel star class (0 = any, 3 = 3-star+, etc.). ## `amenities` (type: `array`): Filter hotels by amenity keywords: hot\_tub, pool, gym, spa, breakfast, pet\_friendly, parking, wifi, bar, restaurant. ## `sort` (type: `string`): Sort results by. ## `scrapeDetails` (type: `boolean`): Visit each result's detail page to extract phone, website, coordinates, hours, rating breakdown, and more photos. Slower but much richer data. ## `language` (type: `string`): Interface language code (en = English, es = Spanish, fr = French, de = German, etc.). ## `proxyConfiguration` (type: `object`): Residential US proxy recommended for reliable access. ## Actor input object example ```json { "location": [ "Atlanta, Georgia" ], "startUrls": [ { "url": "https://www.tripadvisor.com/Hotels-g60898-Atlanta_Georgia-Hotels.html" } ], "placeType": "hotel", "checkIn": "2026-08-01", "checkOut": "2026-08-03", "resultsWanted": 10, "deepSearch": false, "minRating": 0, "minStars": 0, "amenities": [ "pool", "spa" ], "sort": "RECOMMENDED", "scrapeDetails": false, "language": "en", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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": [ "Atlanta, Georgia" ], "resultsWanted": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("rupom888/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 = { "location": ["Atlanta, Georgia"], "resultsWanted": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("rupom888/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 '{ "location": [ "Atlanta, Georgia" ], "resultsWanted": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call rupom888/tripadvisor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rupom888/tripadvisor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TripAdvisor Scraper - Hotels, Restaurants & Attractions", "version": "0.0", "x-build-id": "qr6bghoAYYRznOwUi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rupom888~tripadvisor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rupom888-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/rupom888~tripadvisor-scraper/runs": { "post": { "operationId": "runs-sync-rupom888-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/rupom888~tripadvisor-scraper/run-sync": { "post": { "operationId": "run-sync-rupom888-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "location": { "title": "Location(s)", "type": "array", "description": "City/region names to search. E.g. ['Atlanta, Georgia', 'Miami, Florida']", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs (optional)", "type": "array", "description": "Direct TripAdvisor URLs (hotel list, restaurant list, attraction list, or individual pages). Overrides Location when provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "placeType": { "title": "Place Type", "enum": [ "hotel", "restaurant", "attraction", "vacation_rental" ], "type": "string", "description": "What type of places to scrape.", "default": "hotel" }, "checkIn": { "title": "Check-in Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Check-in date for hotel price lookup (YYYY-MM-DD)." }, "checkOut": { "title": "Check-out Date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Check-out date (YYYY-MM-DD)." }, "resultsWanted": { "title": "Results Wanted", "minimum": 1, "maximum": 3000, "type": "integer", "description": "Max results per location (across all pages). Use deepSearch=true to get 3000+ results by scraping neighborhood sub-areas.", "default": 100 }, "deepSearch": { "title": "Deep Search (3000+ Results)", "type": "boolean", "description": "When enabled, discovers neighborhood sub-areas within the city and scrapes each one separately, then aggregates results. Bypasses TripAdvisor's ~1000 result limit per query. Slower but returns many more results.", "default": false }, "minRating": { "title": "Min TripAdvisor Rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Minimum bubble rating (0–5). E.g. 4.0 filters to 4+ bubble rated places.", "default": 0 }, "minStars": { "title": "Min Star Class (Hotels only)", "minimum": 0, "maximum": 5, "type": "integer", "description": "Minimum hotel star class (0 = any, 3 = 3-star+, etc.).", "default": 0 }, "amenities": { "title": "Amenity Filters (Hotels)", "type": "array", "description": "Filter hotels by amenity keywords: hot_tub, pool, gym, spa, breakfast, pet_friendly, parking, wifi, bar, restaurant.", "items": { "type": "string" } }, "sort": { "title": "Sort Order", "enum": [ "RECOMMENDED", "GUEST_RATING", "PRICE_LOW_TO_HIGH", "RANKING" ], "type": "string", "description": "Sort results by.", "default": "RECOMMENDED" }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "Visit each result's detail page to extract phone, website, coordinates, hours, rating breakdown, and more photos. Slower but much richer data.", "default": false }, "language": { "title": "Language", "type": "string", "description": "Interface language code (en = English, es = Spanish, fr = French, de = German, etc.).", "default": "en" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential US proxy recommended for reliable access." } } }, "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 } } } } } } } } } } ```