# Philippines Transit Scraper — Ferries, PNR, MRT, LRT, PITX Bus (`jungle_synthesizer/12go-philippines-transit-scraper`) Actor Scrape Philippines transit: inter-island ferries (2GO, Montenegro, Oceanjet, FastCat, Starlite) with cabin-class breakdown and RORO vehicle fares in PHP, PNR/MRT-3/LRT-1/LRT-2 rail, PITX provincial bus, and Cebu Pacific domestic flights. - **URL**: https://apify.com/jungle\_synthesizer/12go-philippines-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 ## Philippines Transit Scraper — Ferries, PNR, MRT, LRT, PITX Bus Scrape Philippines transit schedules and fares across all modes via the 12go.asia aggregator. Returns operator name, service type, departure and arrival times, duration, cabin classes, and fares in Philippine Pesos (PHP). ### What it scrapes - **Inter-island ferries** — 2GO Travel (Manila–Cebu 22hr overnight), Montenegro Shipping, Oceanjet, FastCat, Starlite, and other Philippine ferry operators. Includes vessel type (ROPAX, fast craft, catamaran), cabin classes (Economy, Tourist, Cabin, Suite), and RORO vehicle fares. - **Metro Manila rail** — MRT-3, LRT-1, LRT-2, and PNR (Philippine National Railways) schedules. - **Intercity bus** — PITX (Parañaque Integrated Terminal Exchange) provincial routes and other bus operators. - **Domestic flights** — Cebu Pacific, Philippine Airlines, AirAsia Philippines schedules between any two Philippine cities. ### Input | Field | Description | Default | |-------|-------------|---------| | `origin` | Origin port, station, or city (e.g. "Manila", "Cebu", "Batangas") | Required | | `destination` | Destination port, station, or city | Required | | `operator` | Mode filter: `any`, `ferry`, `rail_metro`, `bus_intercity`, `cebu_pacific` | `any` | | `date` | Travel date in YYYY-MM-DD format (omit for all upcoming schedules) | Optional | | `includeRORO` | Include RORO vehicle pricing in results | `true` | | `cabinClass` | Minimum cabin class filter for ferries | `any` | | `maxItems` | Maximum number of results to return | `50` | | `proxyConfiguration` | Proxy settings (Philippine residential proxy recommended) | PH residential | ### Output Each record includes: - `service_id` — Unique service identifier - `operator` — Carrier name (2GO Travel, Oceanjet, Cebu Pacific, etc.) - `service_type` — `roro_ferry`, `fast_ferry`, `passenger_ferry`, `commuter_rail`, `mrt`, `lrt`, `bus_intercity`, `domestic_flight` - `route_name` — Marketed route name - `origin_port` / `destination_port` — Port, station, or airport name - `departure_time` / `arrival_time` — Scheduled times - `duration_minutes` — Total journey duration - `vessel_type` — ROPAX, fast craft, catamaran (ferry only) - `cabin_classes` — Available cabin classes with features - `cheapest_fare_php` — Cheapest available fare in PHP - `vehicle_fare_php` — RORO vehicle (5m passenger car) fare in PHP - `motorcycle_fare_php` — Motorcycle RORO fare in PHP - `bus_type` — Bus class (Ordinary, Aircon, Deluxe, Executive, Sleeper) - `line` — Metro line (MRT-3, LRT-1, LRT-2, PNR) - `amenities` — Amenity list ### Example use cases - **Travel apps** — Island-hopping route planning for Cebu, Bohol, Palawan - **Logistics** — RORO freight capacity and vehicle fare comparison - **Tourism platforms** — Automated schedule updates for Visayas/Mindanao routes - **Data aggregators** — Philippine domestic transport data feeds ### Notes - Data is sourced from 12go.asia, which aggregates Philippine ferry, rail, bus, and flight schedules in real time. - Fares are displayed in PHP when using a Philippine residential proxy (default). - The 12go.asia platform uses AWS WAF — residential proxy is required for reliable scraping. - Rail (MRT/LRT/PNR) and detailed cabin-class breakdowns depend on availability in 12go.asia's database for the queried route. # 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. ## `operator` (type: `string`): No description ## `origin` (type: `string`): E.g. 'Manila', 'Cebu', 'Bohol', 'Batangas'. ## `destination` (type: `string`): No description ## `date` (type: `string`): No description ## `includeRORO` (type: `boolean`): Scrape vehicle fares for roll-on/roll-off ferries. ## `cabinClass` (type: `string`): No description ## `maxItems` (type: `integer`): No description ## `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...", "operator": "any", "origin": "Manila", "destination": "Cebu", "includeRORO": true, "cabinClass": "any", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PH" } } ```` # 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...", "operator": "any", "origin": "Manila", "destination": "Cebu", "date": "", "includeRORO": true, "cabinClass": "any", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PH" } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/12go-philippines-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...", "operator": "any", "origin": "Manila", "destination": "Cebu", "date": "", "includeRORO": True, "cabinClass": "any", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "PH", }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/12go-philippines-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...", "operator": "any", "origin": "Manila", "destination": "Cebu", "date": "", "includeRORO": true, "cabinClass": "any", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "PH" } }' | apify call jungle_synthesizer/12go-philippines-transit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/12go-philippines-transit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Philippines Transit Scraper — Ferries, PNR, MRT, LRT, PITX Bus", "description": "Scrape Philippines transit: inter-island ferries (2GO, Montenegro, Oceanjet, FastCat, Starlite) with cabin-class breakdown and RORO vehicle fares in PHP, PNR/MRT-3/LRT-1/LRT-2 rail, PITX provincial bus, and Cebu Pacific domestic flights.", "version": "0.1", "x-build-id": "veD3e0FTPctZ4OGAW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~12go-philippines-transit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-12go-philippines-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~12go-philippines-transit-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-12go-philippines-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~12go-philippines-transit-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-12go-philippines-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." }, "operator": { "title": "Operator / Mode", "enum": [ "any", "ferry", "rail_metro", "bus_intercity", "cebu_pacific" ], "type": "string", "description": "" }, "origin": { "title": "Origin Port / Station / City", "type": "string", "description": "E.g. 'Manila', 'Cebu', 'Bohol', 'Batangas'." }, "destination": { "title": "Destination Port / Station / City", "type": "string", "description": "" }, "date": { "title": "Date (YYYY-MM-DD)", "type": "string", "description": "" }, "includeRORO": { "title": "Include RORO Vehicle Pricing", "type": "boolean", "description": "Scrape vehicle fares for roll-on/roll-off ferries.", "default": true }, "cabinClass": { "title": "Minimum Cabin Class (ferry)", "enum": [ "any", "economy", "tourist", "cabin", "suite" ], "type": "string", "description": "" }, "maxItems": { "title": "Max Results", "type": "integer", "description": "", "default": 10 }, "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 } } } } } } } } } } ```