# Kkday Reviews Scraper (`stealth_mode/kkday-reviews-scraper`) Actor Scrape verified traveler reviews from KKday.com by tour ID. Collect ratings, review bodies, author info, travel dates, images, and helpfulness counts — perfect for travel analysts, tour operators, and sentiment researchers. - **URL**: https://apify.com/stealth\_mode/kkday-reviews-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## KKday Reviews Scraper: Extract Tour Reviews & Ratings --- ### What Is KKday.com? KKday is a leading Asia-based travel experience platform offering thousands of tours, activities, and travel products across the region. Each product page hosts user-submitted reviews containing rich sentiment data — ratings, written feedback, travel dates, and photos. Collecting this data manually is impractical at scale. The **KKday Reviews Scraper** automates extraction, delivering structured review records ready for analysis. --- ### Overview The **KKday Reviews Scraper** targets the review section of any KKday tour product page using its numeric Tour ID. It is designed for: - **Tour operators** monitoring guest sentiment about their own or competitor products - **Travel analysts** conducting market research and reputation tracking - **Data scientists** building sentiment analysis or NLP training datasets - **Researchers** studying traveler behavior in Asian tourism markets --- ### Input Format The scraper accepts a JSON configuration object — no URL required, just the Tour ID: ```json { "tour_id": "262755", "sort_by": "RATING_DESC", "page": 1, "max_items_per_url": 200, "ignore_url_failures": true } ```` #### Field Reference | Field | Type | Description | |---|---|---| | `tour_id` | string | Numeric Tour ID extracted from the product URL. Example: `product/262755-disney-adventure-cruise-singapore` → `262755` | | `sort_by` | string | Sort order for reviews. See options below. | | `page` | integer | Page number to start collecting from. Default: `1` | | `max_items_per_url` | integer | Maximum number of reviews to collect. Default: `20` | | `ignore_url_failures` | boolean | If `true`, run continues even if a request fails. Recommended for large collections. | #### `sort_by` Options | Value | Label | |---|---| | `RATING_DESC` | Rating: High to Low | | `RATING_ASC` | Rating: Low to High | | `POSTDATE_DESC` | Date: New to Old | | `IMAGE_DESC` | Image: Most to Least | | `HELPFUL_DESC` | Helpful: Most to Least | > **Tip:** Use `POSTDATE_DESC` to monitor the latest reviews for a tour over time. Use `HELPFUL_DESC` to surface the most community-validated feedback first. *** ### Output Format Each record represents one traveler review: #### Sample Output Structure ```json { "id": 4227113, "external_type": "kkday", "need_translate": true, "images": [], "title": { "origin": "很棒的體驗", "translated": "Great experience" }, "body": { "origin": "這次住在海景陽台房,迪士尼氣氛ㄧ級棒,喜歡迪士尼的一定要體驗一次", "translated": "This time I stayed in a sea-view balcony room, the Disney atmosphere was amazing, anyone who likes Disney should definitely experience it." }, "rating": 5, "helpful_count": 0, "author": { "name": "唐", "traveller_type": "02", "avatar": "https://image.kkday.com/v2/image/get/s1.kkday.com/member/default_image/png" }, "go_date": "2026-03-30", "post_date": "2026-05-11 13:19:06", "from_url": "https://www.kkday.com/api/_nuxt/cpath/fetch-product-comments-v2?page=1&sort=RATING_DESC&prodId=262755" } ``` #### Field Definitions | Field | Meaning | |---|---| | `ID` | Unique identifier for the review record | | `External Type` | Review source or verification type (e.g., verified purchase) | | `Need Translate` | Boolean flag indicating whether the review is in a non-primary language and may require translation | | `Images` | Array of image URLs attached to the review by the traveler | | `Title` | Short headline of the review | | `Body` | Full review text written by the traveler | | `Rating` | Numeric star rating (typically 1–5) | | `Helpful Count` | Number of other users who marked the review as helpful | | `Author` | Display name or alias of the reviewer | | `Go Date` | Date the reviewer actually took the tour | | `Post Date` | Date the review was published on KKday | *** ### How to Use 1. **Find the Tour ID** — Open any KKday product page. The ID is the number in the URL: `product/262755-disney-adventure-cruise` → `262755`. 2. **Configure the input** — Set `tour_id`, choose a `sort_by` order, and set your desired `max_items_per_url`. 3. **Set the start page** — Use `page: 1` for a full collection from the beginning, or a higher value to resume from a specific point. 4. **Run and export** — Download results as JSON or CSV for use in spreadsheets, dashboards, or NLP pipelines. **Common issues:** - If no results are returned, verify the Tour ID is correct and the product page is publicly accessible. - Set `ignore_url_failures: true` to prevent single failures from stopping a batch run. *** ### Use Cases & Business Value - **Reputation monitoring:** Track how a tour's rating evolves over time - **Competitor benchmarking:** Compare sentiment across similar tours in a destination - **Content moderation research:** Analyze flagged or translated reviews at scale - **NLP datasets:** Build training data for hospitality-focused sentiment models - **Marketing insights:** Identify recurring praise or complaints to improve product positioning *** ### Conclusion The **KKday Reviews Scraper** turns traveler feedback into structured, analyzable data. With flexible sorting, pagination control, and 11 output fields per review, it provides everything needed to monitor sentiment, benchmark products, or power data-driven decisions in the travel industry. # Actor input Schema ## `tour_id` (type: `string`): Enter Tour ID. For example, product/262755-disney-adventure-cruise-singapore -> 262755 ## `sort_by` (type: `string`): Select your option to sort reviews ## `page` (type: `integer`): Page to start from ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "tour_id": "262755", "page": 1, "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "tour_id": "262755", "page": 1, "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/kkday-reviews-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 = { "tour_id": "262755", "page": 1, "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/kkday-reviews-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 '{ "tour_id": "262755", "page": 1, "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/kkday-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/kkday-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kkday Reviews Scraper", "description": "Scrape verified traveler reviews from KKday.com by tour ID. Collect ratings, review bodies, author info, travel dates, images, and helpfulness counts — perfect for travel analysts, tour operators, and sentiment researchers.", "version": "0.0", "x-build-id": "lw8vlFV7jOQzSI3n2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~kkday-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-kkday-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~kkday-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-kkday-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~kkday-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-kkday-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "tour_id": { "title": "Tour ID (Tour ID on kkday.com tour review page url, e.g. product/262755-disney-adventure-cruise-singapore -> 262755)", "type": "string", "description": "Enter Tour ID. For example, product/262755-disney-adventure-cruise-singapore -> 262755" }, "sort_by": { "title": "Sort by", "enum": [ "RATING_DESC", "RATING_ASC", "POSTDATE_DESC", "IMAGE_DESC", "HELPFUL_DESC" ], "type": "string", "description": "Select your option to sort reviews" }, "page": { "title": "Page", "type": "integer", "description": "Page to start from" }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```