# Malaysia Transit — KTMB Rail & Easybook Bus Routes (`jungle_synthesizer/ktmb-malaysia-transit-scraper`) Actor Scrape Malaysian transit data: KTMB rail stations (ETS, Intercity, Komuter — ~150 stations with IDs and state groupings) and Easybook intercity bus routes (80+ routes with distance, duration, and city-pair metadata). Transit network graph for travel apps, MaaS platforms, and mapping services. - **URL**: https://apify.com/jungle\_synthesizer/ktmb-malaysia-transit-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Travel, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Malaysia Transit Scraper — KTMB Rail & Easybook Bus Routes Extracts Malaysian public transit network data from two sources: the [KTMB](https://online.ktmb.com.my) rail station directory and the [Easybook](https://www.easybook.com/en-my/bus/route) intercity bus route catalog. Delivers the station and route graph used by travel apps, MaaS platforms, and regional mapping services — without requiring live schedule queries or CAPTCHA solving. ### Malaysia Transit Scraper Features - Scrape KTMB rail stations across Peninsular Malaysia — ~150 stations covering ETS, Intercity, and Komuter lines with numeric station IDs and state groupings - Scrape the Easybook intercity bus route catalog — 400+ Malaysia routes with city-pair metadata including distance, average journey duration, and operator count - Filter by data source: KTMB rail only, Easybook bus only, or both in a single run - Cap results with `maxItems` for sampling or testing without pulling the full catalog - Runs on Malaysian residential proxy for geo-consistent content - Handles rate limiting and retries automatically via CoreCrawler ### Who Uses Malaysian Transit Data? - **MaaS platforms** — bootstrap a Malaysia transit network graph without manually compiling station lists from PDFs or timetable PDFs - **Travel apps** — populate route finders and journey planners with real station IDs and city-pair links - **Regional mapping services** — overlay rail and bus networks on maps using structured place IDs and geographic metadata - **Transport researchers** — analyze intercity connectivity, route coverage, and operator presence across Peninsular Malaysia - **Developers** — integrate KTMB station IDs directly with the KTMB booking API for downstream automation ### How Malaysia Transit Scraper Works 1. Select which data source to scrape: KTMB rail stations, Easybook bus routes, or both. 2. For KTMB, the scraper fetches the timetable search page and extracts the embedded `groupedStations` JSON — all ~150 stations with their IDs, names, lines, and state groupings, no CAPTCHA required. 3. For Easybook, the scraper fetches the Malaysia bus route directory, collects all route links, and visits each route page to extract static metadata: distance, average duration, operator count, and from/to place IDs from the embedded search view model. 4. Results are saved as flat records. KTMB and Easybook records share the same schema with null fields for inapplicable columns. ### Input ```json { "dataSource": "all", "maxItems": 15 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `dataSource` | String | `"all"` | Which sources to scrape. Options: `"all"`, `"ktmb_stations"`, `"easybook_routes"`. | | `maxItems` | Integer | `15` | Maximum records to return across all sources. | | `proxyConfiguration` | Object | Malaysian residential | Apify proxy configuration. Defaults to MY residential proxy for geo-consistent results. | #### KTMB Stations Only ```json { "dataSource": "ktmb_stations", "maxItems": 150 } ``` #### Easybook Bus Routes Only ```json { "dataSource": "easybook_routes", "maxItems": 100 } ``` ### Malaysia Transit Scraper Output Fields #### KTMB Rail Station Record ```json { "record_type": "ktmb_station", "source": "KTMB", "station_id": "19100", "station_name": "KL SENTRAL", "line": "ETS / Intercity", "state": "Kuala Lumpur", "from_city": null, "from_place_id": null, "to_city": null, "to_place_id": null, "distance_km": null, "avg_duration_mins": null, "operator_count": null, "route_url": null } ``` #### Easybook Bus Route Record ```json { "record_type": "easybook_route", "source": "Easybook", "station_id": null, "station_name": null, "line": null, "state": null, "from_city": "Kuala Lumpur", "from_place_id": "2", "to_city": "Penang", "to_place_id": "5", "distance_km": 351.0, "avg_duration_mins": 294, "operator_count": 12, "route_url": "https://www.easybook.com/en-my/bus/booking/kualalumpur-to-penang" } ``` | Field | Type | Description | |-------|------|-------------| | `record_type` | String | Record type: `ktmb_station` or `easybook_route` | | `source` | String | Data source name: `KTMB` or `Easybook` | | `station_id` | String | KTMB numeric station ID (KTMB records only) | | `station_name` | String | KTMB station name in uppercase (KTMB records only) | | `line` | String | Train line or service type — ETS / Intercity / Komuter (KTMB records only) | | `state` | String | Malaysian state where the station is located (KTMB records only) | | `from_city` | String | Origin city for the bus route (Easybook records only) | | `from_place_id` | String | Easybook internal place ID for the origin city | | `to_city` | String | Destination city for the bus route (Easybook records only) | | `to_place_id` | String | Easybook internal place ID for the destination city | | `distance_km` | Number | Route distance in kilometres (Easybook records only) | | `avg_duration_mins` | Number | Average journey duration in minutes (Easybook records only) | | `operator_count` | Number | Number of bus operators serving this route (Easybook records only) | | `route_url` | String | Easybook route page URL (Easybook records only) | ### Scope and Limitations This scraper extracts the static transit network directory — station catalogs and route metadata. It does **not** extract: - Live departure times or timetables (gated behind CAPTCHA on both KTMB and Easybook) - Fare prices or seat availability (CAPTCHA-gated) - Real-time service status or disruptions The station and route data changes infrequently and is stable for use in network graph construction, mapping overlays, and app bootstrapping. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `dataSource` (type: `string`): Which data sources to scrape. ## `maxItems` (type: `integer`): Maximum number of records to return. ## `proxyConfiguration` (type: `object`): No description ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "dataSource": "all", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "dataSource": "all", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ktmb-malaysia-transit-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "dataSource": "all", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "MY", }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ktmb-malaysia-transit-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "dataSource": "all", "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "MY" } }' | apify call jungle_synthesizer/ktmb-malaysia-transit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ktmb-malaysia-transit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Malaysia Transit — KTMB Rail & Easybook Bus Routes", "description": "Scrape Malaysian transit data: KTMB rail stations (ETS, Intercity, Komuter — ~150 stations with IDs and state groupings) and Easybook intercity bus routes (80+ routes with distance, duration, and city-pair metadata). Transit network graph for travel apps, MaaS platforms, and mapping services.", "version": "1.0", "x-build-id": "cIHhDixvEyeiBmW5e" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ktmb-malaysia-transit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ktmb-malaysia-transit-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/jungle_synthesizer~ktmb-malaysia-transit-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ktmb-malaysia-transit-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/jungle_synthesizer~ktmb-malaysia-transit-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ktmb-malaysia-transit-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "dataSource": { "title": "Data Source", "enum": [ "all", "ktmb_stations", "easybook_routes" ], "type": "string", "description": "Which data sources to scrape.", "default": "all" }, "maxItems": { "title": "Max Results", "type": "integer", "description": "Maximum number of records to return.", "default": 15 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "" } } }, "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 } } } } } } } } } } ```