# WAUG Reviews Scraper (`knagymate/waug-reviews-scraper`) Actor Scraper to get reviews from WAUG tours, attractions, activities, and travel experiences. Extract review text, ratings, reviewer details, images, likes, merchant replies, and review dates using WAUG activity or review URLs. Download data in JSON, HTML, Excel, CSV, or XML. - **URL**: https://apify.com/knagymate/waug-reviews-scraper.md - **Developed by:** [knagymate](https://apify.com/knagymate) (community) - **Categories:** Travel - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.50 / 1,000 reviews 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 ## What does WAUG Reviews Scraper do? It's a simple and powerful tool that allows you to extract reviews from [WAUG](https://www.waug.com/) activities, tours, attractions, and travel experiences. You can get reviews from WAUG activity and review pages, including review text, rating, reviewer name, review images, dates, likes, and merchant replies. To get that data, just paste a WAUG URL and click **"Save & Start"** button. ## Why scrape WAUG? [WAUG](https://www.waug.com/) is one of Asia's leading travel booking platforms, offering tours, attractions, transport passes, and travel experiences across popular destinations worldwide. Scraping WAUG reviews can provide valuable insights for travel companies, market researchers, SEO teams, and businesses operating in tourism and hospitality. Here are just some of the ways you could use that data: 🔎 Conduct travel market research 🏖 Track brand sentiment and shifts in customer reactions ⭐ Improve customer experience and product quality ðŸĪš Monitor competitor performance and service quality âœĻ Identify travel trends and popular experiences 👍 Build datasets for sentiment analysis and AI applications ## How do I use WAUG Reviews Scraper? WAUG Reviews Scraper was designed to be easy to start with even if you've never extracted data from the web before. Here's how you can scrape WAUG reviews with this tool: 1. [Create](https://console.apify.com/sign-up) a free Apify account using your email. 2. Open [WAUG Reviews Scraper](https://apify.com/knagymate/waug-reviews-scraper). 3. Add one or more WAUG URLs to get reviews from. 4. Click "Start" and wait for the data to be extracted. 5. Download your data in JSON, XML, CSV, Excel, or HTML. ## Input The input for WAUG Reviews Scraper should be a WAUG activity or review page URL that you want to extract reviews from. You can add one or multiple URLs. You can also specify the maximum number of reviews and the review language. Here's what the input looks like: [![Input example](https://raw.githubusercontent.com/knagymate/apify-public-images/refs/heads/main/waug-reviews-scraper/input-example.png)](https://console.apify.com/actors/YbA4ZgMDtOAepLDqR) And here is the same input in JSON. ```json { "startUrls": [ { "url": "https://www.waug.com/en/activities/145764" } ], "maxReviews": 100, "language": "en_US" } ```` ## Output The results will be wrapped into a dataset which you can find in the Storage tab. Here's an excerpt from the dataset you'd get if you apply the input parameters above: [![Output example](https://raw.githubusercontent.com/knagymate/apify-public-images/refs/heads/main/waug-reviews-scraper/output-example.png)](https://console.apify.com/actors/YbA4ZgMDtOAepLDqR) And here is the same data but in JSON. You can choose in which format to download your WAUG data: JSON/JSONL, Excel, HTML table, CSV, or XML. ```json { "id": 425385, "goodsId": 121608, "memberName": "박ėĪ€*", "commentRate": 5, "commentMsg": "I made excellent use of the Osaka Amazing Pass during my trip to Osaka. I plan to use it again next time.", "commentImages": [ "https://d2mgzmtdeipcjp.cloudfront.net/files/comment/2026/05/10/6812039614934.png" ], "regDate": "2026-05-10 00:00:00", "modifyDate": "2026-05-10 22:44:00", "likeCount": 0, "isLiked": false, "isWriter": false, "replies": [ { "id": 425542, "goodsId": 121608, "memberName": "ėšīė˜*", "commentRate": 5, "commentMsg": "Hello, customer. This is WAG.\n We are truly delighted to hear that you made the most of the Osaka Amazing Pass during your trip and were satisfied 😊 We are especially grateful that you mentioned you would like to use it again on your next trip. We will continue to strive to provide you with an even more convenient and satisfying travel experience. Thank you for your valuable feedback!", "commentImages": [], "regDate": "2026-05-12", "modifyDate": "1970-01-01 09:00", "parentId": 425385, "likeCount": 0, "isLiked": false, "isWriter": false, "subject": "goods", "replies": [] } ] } ``` ## Integrations and WAUG Reviews Scraper Last but not least, WAUG Reviews Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can integrate with **LangChain, Make, Trello, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, Asana, and more**. You can also use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to carry out an action whenever an event occurs, e.g., get a notification whenever WAUG Reviews Scraper successfully finishes a run. ## Using WAUG Reviews Scraper with the Apify API The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the `apify-client` NPM package. To access the API using Python, use the `apify-client` PyPI package. Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the **API** tab for code examples. ## Is it legal to scrape WAUG reviews data? Our travel industry scrapers are ethical and **do not extract any private user data, such as email addresses, gender, or location**. They only extract what the user has chosen to share publicly. However, you should be aware that your results could contain personal data. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ## Your feedback I'm always working on improving the performance of our Actors. So if you've got any technical feedback for WAUG Reviews Scraper or simply found a bug, please create an issue on the Actor's [Issues tab](https://apify.com/knagymate/waug-reviews-scraper/issues) in Apify Console. # Actor input Schema ## `startUrls` (type: `array`): Paste here a URL(s) of a specific place you want to get reviews from. ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape per page. ## `sort_by` (type: `string`): Criteria to sort reviews by. ## `language` (type: `string`): Language code for the reviews to be scraped. ## `cutoff_date` (type: `string`): Scraper will return reviews newer than this date if it is provided. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.waug.com/en/activities/145764" } ], "maxReviews": 100, "sort_by": "USEFUL", "language": "en_US" } ``` # Actor output Schema ## `results` (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": [ { "url": "https://www.waug.com/en/activities/145764" } ], "maxReviews": 100, "sort_by": "USEFUL", "language": "en_US", "cutoff_date": "" }; // Run the Actor and wait for it to finish const run = await client.actor("knagymate/waug-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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": [{ "url": "https://www.waug.com/en/activities/145764" }], "maxReviews": 100, "sort_by": "USEFUL", "language": "en_US", "cutoff_date": "", } # Run the Actor and wait for it to finish run = client.actor("knagymate/waug-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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": [ { "url": "https://www.waug.com/en/activities/145764" } ], "maxReviews": 100, "sort_by": "USEFUL", "language": "en_US", "cutoff_date": "" }' | apify call knagymate/waug-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knagymate/waug-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WAUG Reviews Scraper", "description": "Scraper to get reviews from WAUG tours, attractions, activities, and travel experiences. Extract review text, ratings, reviewer details, images, likes, merchant replies, and review dates using WAUG activity or review URLs. Download data in JSON, HTML, Excel, CSV, or XML.", "version": "0.0", "x-build-id": "cDSpAGWwUnBSavt6O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knagymate~waug-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knagymate-waug-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/knagymate~waug-reviews-scraper/runs": { "post": { "operationId": "runs-sync-knagymate-waug-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/knagymate~waug-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-knagymate-waug-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Paste here a URL(s) of a specific place you want to get reviews from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxReviews": { "title": "Maximum reviews per page", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to scrape per page.", "default": 100 }, "sort_by": { "title": "Sort reviews by", "enum": [ "USEFUL", "NEW", "BEST_RATE", "WORST_RATE" ], "type": "string", "description": "Criteria to sort reviews by.", "default": "USEFUL" }, "language": { "title": "Review language", "enum": [ "en_US", "en_HK", "en_SG", "en_PH", "ko_KR", "ja_JP" ], "type": "string", "description": "Language code for the reviews to be scraped.", "default": "en_US" }, "cutoff_date": { "title": "Cutoff date", "type": "string", "description": "Scraper will return reviews newer than this date if it is provided." } } }, "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 } } } } } } } } } } ```