# TripAdvisor Photos Scraper (`burbn/tripadvisor-photos`) Actor Extract hotel, restaurant, and attraction photos from TripAdvisor by location ID. Get full-resolution images, captions, and linked review data. - **URL**: https://apify.com/burbn/tripadvisor-photos.md - **Developed by:** [Kevin](https://apify.com/burbn) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 Photos | Extract Photos by Location ID Extract photos from Tripadvisor by location ID. Get images in multiple resolutions with captions, linked reviews, user details, and metadata. ### ❓ What is Tripadvisor Photos? **Tripadvisor Photos** is a powerful Apify actor that extracts all photos from any Tripadvisor location. Provide a location ID and get every uploaded photo with multiple image resolutions, captions, linked reviews, and uploader information. With this Tripadvisor Photos actor, you can: - πŸ“Έ **Extract Photos** β€” Get all photos for any Tripadvisor hotel, restaurant, or attraction. - πŸ–ΌοΈ **Multiple Resolutions** β€” Download images in original, large, medium, small, and thumbnail sizes. - πŸ”— **Linked Reviews** β€” See which reviews each photo is associated with, including review titles and ratings. - ⭐ **Featured Photos** β€” Identify Tripadvisor-blessed (featured) photos. - πŸ‘€ **User Profiles** β€” Get uploader details including name, avatar, location, and profile link. - πŸ“„ **Deep Pagination** β€” Scrape multiple pages of photos with `maxPages` (up to 50 per page). - πŸ“Š **Export Structured Data** β€” Download results in JSON, CSV, Excel, XML, and RSS formats. ### 🎯 What Data Can You Extract? This Tripadvisor Photos actor extracts the following fields for each photo: | Field | Description | Example | |-------|-------------|---------| | `id` | Unique photo identifier | `35660584` | | `caption` | Photo caption text | `view from altitude around 5pm` | | `is_blessed` | Whether it's a Tripadvisor featured photo | `true` | | `published_date` | When the photo was published | `2011-09-25T15:15:16-0400` | | `uploaded_date` | When the photo was uploaded | `2011-09-18T10:09:05-0400` | | `helpful_votes` | Number of helpful votes | `3` | | `url_original` | Full resolution image URL | `https://media-cdn.tripadvisor.com/...photo-o/...` | | `url_large` | Large size image URL | `https://media-cdn.tripadvisor.com/...photo-s/...` | | `url_medium` | Medium size image URL | `https://media-cdn.tripadvisor.com/...photo-f/...` | | `url_small` | Small size image URL | `https://media-cdn.tripadvisor.com/...photo-l/...` | | `url_thumbnail` | Thumbnail image URL | `https://media-cdn.tripadvisor.com/...photo-t/...` | | `width_original` | Original image width | `550` | | `height_original` | Original image height | `412` | | `location_name` | Associated location name | `Altitude Rooftop Bar` | | `linked_review_title` | Title of the linked review | `Amazing views, good cocktails` | | `linked_review_rating` | Rating of the linked review | `5` | | `username` | Uploader's username | `Jspek` | | `user_location_name` | Uploader's location | `Aberdeen, United Kingdom` | | `user_link` | Link to uploader's profile | `https://www.tripadvisor.com/MemberProfile-...` | ### πŸš€ How to Use Tripadvisor Photos #### Step 1: Get a Location ID Find the Tripadvisor location ID for the hotel, restaurant, or attraction you want photos from. > **πŸ’‘ Tip:** In a Tripadvisor URL like `https://www.tripadvisor.com/Restaurant_Review-g293928-d2233968-Reviews-...`, the number after `d` (2233968) is the location ID. #### Step 2: Configure Parameters | Input | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `location_id` | String | βœ… Yes | `2233968` | Tripadvisor location ID for the hotel/restaurant/attraction. | | `maxPages` | Integer | ❌ No | `1` | Maximum number of pages to scrape. Each page returns up to 50 photos. | | `limit` | Integer | ❌ No | `50` | Items to return per page (max `50`). | | `currency` | String | ❌ No | `USD` | Currency code (e.g., `USD`, `EUR`, `INR`). | | `lang` | String | ❌ No | `en_US` | Response language (e.g., `en_US`, `fr_FR`). | #### Step 3: Run and Download Results Click **Start** to run the Tripadvisor Photos scraper. Once completed, download your data in JSON, CSV, Excel, XML, or RSS formats. ### πŸ“‹ Example Input ```json { "location_id": "2233968", "maxPages": 1, "limit": 50, "currency": "USD", "lang": "en_US" } ```` ### πŸ“‹ Example Output ```json { "id": "35660584", "caption": "view from altitude around 5pm", "is_blessed": true, "published_date": "2011-09-25T15:15:16-0400", "uploaded_date": "2011-09-18T10:09:05-0400", "helpful_votes": "3", "url_original": "https://media-cdn.tripadvisor.com/media/photo-o/02/20/23/28/view-from-altitude-around.jpg", "width_original": "550", "height_original": "412", "url_large": "https://media-cdn.tripadvisor.com/media/photo-s/02/20/23/28/view-from-altitude-around.jpg", "url_medium": "https://media-cdn.tripadvisor.com/media/photo-f/02/20/23/28/view-from-altitude-around.jpg", "url_small": "https://media-cdn.tripadvisor.com/media/photo-l/02/20/23/28/view-from-altitude-around.jpg", "location_name": "Altitude Rooftop Bar", "location_id": "2233968", "linked_review_title": "Amazing views, good cocktails", "linked_review_rating": "5", "username": "Jspek", "user_locale": "en_US" } ``` ### 🎨 Dataset Views The Tripadvisor Photos actor provides **3 organized dataset views** to help you inspect and analyze your data seamlessly: | View | Description | |------|-------------| | πŸ“Έ **Photos Gallery** | Visual gallery showing photos with captions, locations, helpful votes, and upload dates. | | πŸ”— **Linked Reviews** | Photos with their associated review titles, ratings, and review URLs. | | πŸ”— **Image URLs** | All image URLs in different resolutions with dimensions for easy downloading. | ### πŸ’‘ Use Cases for Tripadvisor Photos - πŸ“Έ **Visual Content Analysis** β€” Analyze what types of photos guests upload for different locations. - 🏨 **Property Marketing** β€” Discover user-generated photos for marketing and promotional materials. - πŸ“Š **Competitive Analysis** β€” Compare photo quality and quantity across competing properties. - πŸ—ΊοΈ **Travel Planning** β€” Browse authentic traveler photos before visiting a destination. - πŸ“ˆ **Sentiment Visualization** β€” Combine photo data with linked reviews for visual sentiment analysis. - πŸ“ **Content Creation** β€” Find high-quality user photos for travel blogs and review articles. - πŸ–ΌοΈ **Image Dataset** β€” Build image datasets for machine learning and computer vision projects. ### πŸ”§ Tips for Best Results 1. **Find Location IDs** β€” Use the [Tripadvisor Locations Search](https://apify.com/burbn/tripadvisor-locations-search) actor or extract from Tripadvisor URLs. 2. **Paginate for More** β€” Increase `maxPages` to get all photos. Each page returns up to 50 results. 3. **Check Featured Photos** β€” Look for `is_blessed: true` to find Tripadvisor-curated featured photos. 4. **Use Image URLs View** β€” Use the **Image URLs** view to quickly get download links in all resolutions. 5. **Utilize Dataset Views** β€” Use preconfigured views for clean, ready-to-use CSV or Excel files. ### 🏷️ Tags `tripadvisor scraper` `tripadvisor photos` `tripadvisor photo scraper` `tripadvisor image scraper` `tripadvisor hotel photos` `tripadvisor restaurant photos` `tripadvisor attraction photos` `tripadvisor travel photos` `tripadvisor images` `tripadvisor travel advisor scraper` `tripadvisor photo extraction` `tripadvisor image download` `tripadvisor visual content` `tripadvisor user photos` ### 🎁 Get $5 Free Apify Credits New to Apify? [Sign up using this link](https://apify.com?fpr=free-credits) and get **$5 free credits** to start extracting Tripadvisor photos right away! No credit card required. ### πŸ“ž Support For questions, feedback, or custom requests regarding the Tripadvisor Photos actor, please contact us through Apify or open a support issue. *** **Happy exploring! πŸ“Έβœ¨** # Actor input Schema ## `location_id` (type: `string`): The Tripadvisor location ID to fetch photos for. You can get this from the Tripadvisor URL or by using the Tripadvisor Locations Search actor. ## `maxPages` (type: `integer`): Maximum number of pagination pages to scrape. Each page returns up to 50 photos. ## `limit` (type: `integer`): The number of photos to return per page. Maximum is 50. ## `currency` (type: `string`): The currency code for the response (e.g., USD, EUR, GBP, INR, JPY). ## `lang` (type: `string`): The language code for API responses. Use locale format like en\_US, fr\_FR, de\_DE, ja\_JP, etc. ## Actor input object example ```json { "location_id": "2233968", "maxPages": 1, "limit": 50, "currency": "USD", "lang": "en_US" } ``` # Actor output Schema ## `gallery` (type: `string`): View photos with captions, locations, and upload details. ## `reviewDetails` (type: `string`): View photos with their associated review titles, ratings, and URLs. ## `imageUrls` (type: `string`): View all image URLs in different resolutions (original, large, medium, small, thumbnail). # 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_id": "2233968" }; // Run the Actor and wait for it to finish const run = await client.actor("burbn/tripadvisor-photos").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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_id": "2233968" } # Run the Actor and wait for it to finish run = client.actor("burbn/tripadvisor-photos").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "location_id": "2233968" }' | apify call burbn/tripadvisor-photos --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=burbn/tripadvisor-photos", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TripAdvisor Photos Scraper", "description": "Extract hotel, restaurant, and attraction photos from TripAdvisor by location ID. Get full-resolution images, captions, and linked review data.", "version": "1.0", "x-build-id": "aFO3tfgS7uF16pdXv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/burbn~tripadvisor-photos/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-burbn-tripadvisor-photos", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/burbn~tripadvisor-photos/runs": { "post": { "operationId": "runs-sync-burbn-tripadvisor-photos", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/burbn~tripadvisor-photos/run-sync": { "post": { "operationId": "run-sync-burbn-tripadvisor-photos", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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_id" ], "properties": { "location_id": { "title": "Location ID", "type": "string", "description": "The Tripadvisor location ID to fetch photos for. You can get this from the Tripadvisor URL or by using the Tripadvisor Locations Search actor.", "default": "2233968" }, "maxPages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum number of pagination pages to scrape. Each page returns up to 50 photos.", "default": 1 }, "limit": { "title": "Results per Page", "minimum": 20, "maximum": 50, "type": "integer", "description": "The number of photos to return per page. Maximum is 50.", "default": 50 }, "currency": { "title": "Currency", "type": "string", "description": "The currency code for the response (e.g., USD, EUR, GBP, INR, JPY).", "default": "USD" }, "lang": { "title": "Language", "type": "string", "description": "The language code for API responses. Use locale format like en_US, fr_FR, de_DE, ja_JP, etc.", "default": "en_US" } } }, "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 } } } } } } } } } } ```