# Klook Activities & Experiences Scraper (`axlymxp/klook-activities-scraper`) Actor Scrape Klook activities and experiences at scale — search by keyword or browse any city. Get prices, ratings, review counts, bookings, location, GPS and images as structured JSON, powered by Klook's mobile API for reliability. Pay only for the results you get. - **URL**: https://apify.com/axlymxp/klook-activities-scraper.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Travel, E-commerce - **Stats:** 3 total users, 1 monthly users, 93.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 dataset items 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 ## Klook Activities & Experiences Scraper Extract **Klook** activities and experiences at scale — search by keyword or browse an entire city's catalog. Built on Klook's **mobile API** (not fragile HTML scraping), so it returns clean, structured data reliably and fast. ### Who it's for - **Travel & OTA analysts** — benchmark activity prices, ratings and popularity across destinations and competitors. - **Affiliates & content sites** — build "things to do in \" pages with live prices, ratings and images. - **Market researchers** — track demand (bookings, reviews) for tours, attractions and experiences by city or theme. - **PropTech / travel-tech developers** — a stable JSON feed of Klook inventory for apps, dashboards and price-comparison tools. ### What you get (output fields) | Field | Type | Description | | ----- | ---- | ----------- | | `activity_id` | integer | Klook activity ID | | `title` | string | Activity/experience name | | `activity_url` | string | Canonical Klook activity page URL | | `rating` | float | Average review score (0–5) | | `review_count` | integer | Number of reviews | | `booked_count` | integer | Total bookings ("participants") | | `currency` | string | Currency of the prices | | `sell_price` | float | Current selling price (lead) | | `market_price` | float | Original / list price | | `price_from` / `price_to` | float | Price range across packages | | `sold_out` | boolean | Whether the activity is sold out | | `city_id` / `city_name` | int / string | City | | `country_id` / `country_name` | int / string | Country | | `latitude` / `longitude` | float | GPS coordinates | | `image_url` | string | Cover image URL | | `template_id` / `leaf_category` | integer | Klook product/category codes | | `earliest_start_time` | string | Earliest available start time | | `source_query` / `source_city_id` | string / int | What produced this row | | `scraped_at` | string | ISO-8601 timestamp | ### High-value use cases 1. **Price intelligence** — pull the same attractions across cities/currencies and monitor `sell_price` / `price_from` over time. 2. **Destination pages** — generate ranked "top activities in Tokyo/Osaka/Bangkok" lists with ratings, reviews and images. 3. **Demand research** — rank experiences by `booked_count` and `review_count` to spot trending tours and attractions. 4. **Competitive benchmarking** — compare Klook inventory and pricing against other OTAs for the same destinations. ### Input parameters | Field | Type | Default | Notes | | ----- | ---- | ------- | ----- | | `searchQueries` | array | — | Keywords to search (e.g. `"universal studios japan"`). | | `cityIds` | array | — | Klook city IDs to browse (e.g. `28` = Tokyo, `29` = Osaka). | | `sortBy` | string | `default` | `default`, `most_reviewed`, `price_low_high`, `price_high_low`, `rating`. | | `maxItems` | integer | `100` | Total activities to collect. `0` = no limit. | | `currency` | string | `USD` | ISO currency code for prices. | | `language` | string | `en_US` | Content locale. | | `proxyConfiguration` | object | off | Optional proxy (residential improves anti-bot reliability). | Provide **`searchQueries`, `cityIds`, or both** — at least one is required. #### Example input ```json { "searchQueries": ["universal studios japan"], "cityIds": ["28"], "sortBy": "most_reviewed", "maxItems": 100, "currency": "USD", "language": "en_US" } ```` #### Example output row ```json { "activity_id": 46604, "title": "Universal Studios Japan Studio Pass", "activity_url": "https://www.klook.com/activity/46604/", "rating": 4.8, "review_count": 87652, "booked_count": 6158371, "currency": "USD", "sell_price": 38.2, "price_from": 38.2, "price_to": 51.1, "city_name": "Osaka", "country_name": "Japan", "latitude": 34.6656768, "longitude": 135.4323185, "image_url": "https://res.klook.com/image/upload/activities/dgsxci9mi5z0rhnozwtm.jpg/w576h384c85/plus/webp", "scraped_at": "2026-07-13T07:26:35Z" } ``` ### Finding city IDs Use the companion **Klook MCP Server** actor's `search_suggestions` tool, or run this actor with a `searchQueries` value first — each result carries `city_id` and `city_name` you can reuse in `cityIds`. ### Scheduling & integrations Schedule runs (daily/weekly) from the Apify Console and pipe results to Google Sheets, Make, Zapier, S3 or your own API via Apify webhooks and the dataset API (JSON, CSV, Excel). ### MCP / AI assistants Prefer live, on-demand access from Claude, Cursor, ChatGPT or your own agents? Use the companion **Klook MCP Server** actor, which exposes activity search, city browsing, suggestions and category tools over the Model Context Protocol. ### FAQ **Where does the data come from?** Klook's official mobile backend API — the same source the Klook app uses — which is why it's more reliable than HTML scraping. **How fresh is the data?** Live at run time. Prices, ratings and bookings reflect Klook at the moment of the request. **Are reviews included?** This actor returns each activity's aggregate `rating` and `review_count`. Individual review text is out of scope. **Do I need a proxy?** Usually no. If the anti-bot handshake is challenged from a datacenter IP, enable a residential proxy in `proxyConfiguration`. **Is scraping legal?** You are responsible for how you use the data. This tool collects publicly available catalog information; respect Klook's terms and applicable laws. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search Klook activities for (e.g. "universal studios", "tokyo tower"). Combine with City IDs or use either alone. ## `cityIds` (type: `array`): Klook numeric city IDs to browse the full activity catalog for (e.g. 28 = Tokyo, 29 = Osaka, 3 = Singapore). Find IDs with the Klook MCP Server 'search\_suggestions' tool or the sibling actor. ## `sortBy` (type: `string`): Ordering of the returned activities. ## `maxItems` (type: `integer`): Stop after this many activities in total (across all queries and cities). 0 = no limit (bounded by Klook's catalog size). ## `currency` (type: `string`): ISO currency code for prices (e.g. USD, EUR, GBP, SGD, HKD, JPY). ## `language` (type: `string`): Content language / locale (e.g. en\_US, en\_GB, zh\_HK, ja\_JP). ## `proxyConfiguration` (type: `object`): Optional. Route requests through a proxy. Residential proxies improve reliability of the anti-bot (DataDome) handshake if datacenter IPs get challenged. ## Actor input object example ```json { "searchQueries": [ "universal studios japan", "tokyo disneyland" ], "cityIds": [ "28", "29" ], "sortBy": "default", "maxItems": 100, "currency": "USD", "language": "en_US", "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchQueries": [ "universal studios japan" ] }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/klook-activities-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 = { "searchQueries": ["universal studios japan"] } # Run the Actor and wait for it to finish run = client.actor("axlymxp/klook-activities-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 '{ "searchQueries": [ "universal studios japan" ] }' | apify call axlymxp/klook-activities-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/klook-activities-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Klook Activities & Experiences Scraper", "description": "Scrape Klook activities and experiences at scale — search by keyword or browse any city. Get prices, ratings, review counts, bookings, location, GPS and images as structured JSON, powered by Klook's mobile API for reliability. Pay only for the results you get.", "version": "1.0", "x-build-id": "eflfIJg04rhN0CX9q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~klook-activities-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-klook-activities-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~klook-activities-scraper/runs": { "post": { "operationId": "runs-sync-axlymxp-klook-activities-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~klook-activities-scraper/run-sync": { "post": { "operationId": "run-sync-axlymxp-klook-activities-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search Klook activities for (e.g. \"universal studios\", \"tokyo tower\"). Combine with City IDs or use either alone.", "items": { "type": "string" } }, "cityIds": { "title": "City IDs", "type": "array", "description": "Klook numeric city IDs to browse the full activity catalog for (e.g. 28 = Tokyo, 29 = Osaka, 3 = Singapore). Find IDs with the Klook MCP Server 'search_suggestions' tool or the sibling actor.", "items": { "type": "string" } }, "sortBy": { "title": "Sort by", "enum": [ "default", "most_reviewed", "price_low_high", "price_high_low", "rating" ], "type": "string", "description": "Ordering of the returned activities.", "default": "default" }, "maxItems": { "title": "Max activities", "minimum": 0, "type": "integer", "description": "Stop after this many activities in total (across all queries and cities). 0 = no limit (bounded by Klook's catalog size).", "default": 100 }, "currency": { "title": "Currency", "type": "string", "description": "ISO currency code for prices (e.g. USD, EUR, GBP, SGD, HKD, JPY).", "default": "USD" }, "language": { "title": "Language", "type": "string", "description": "Content language / locale (e.g. en_US, en_GB, zh_HK, ja_JP).", "default": "en_US" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Route requests through a proxy. Residential proxies improve reliability of the anti-bot (DataDome) handshake if datacenter IPs get challenged.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```