# Thailand Transit Scraper — SRT, BTS Skytrain & ARL Red Line (`jungle_synthesizer/thailand-transit-scraper`) Actor Extract Thailand transit data from three sources: SRT station catalog (~750 stations, bilingual Thai/English), BTS Skytrain stations with first/last train times (~119 stations), and ARL Red Line departure timetables. Outputs fares in THB, line assignments, and service direction data. - **URL**: https://apify.com/jungle\_synthesizer/thailand-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 ## Thailand Transit Scraper — SRT, BTS Skytrain & ARL Red Line Scrapes transit data from three Thai public transport networks: the [State Railway of Thailand (SRT)](https://dticket.railway.co.th/), [BTS Skytrain](https://www.bts.co.th/), and the [SRT Red Line](https://www.srtet.co.th/). Returns bilingual station catalogs (Thai + English), first/last service times, fare data in THB, and departure timetables — around 870 records per full run. --- ### What Thailand Transit Scraper Extracts - **SRT stations** — ~750 stations across four lines (North, Northeast, East, South), with bilingual Thai and English names, station codes, and line assignments - **BTS Skytrain stations** — ~119 stations on the Sukhumvit, Silom, and Gold lines, with first and last train times per station, latitude/longitude, and line colors - **ARL Red Line timetables** — hourly departure schedules for the two Red Line routes (Bangkok Aphiwat to Rangsit and Bangkok Aphiwat to Taling Chan), stored as structured JSON - **Operator filter** — run all three sources together or target a single operator (SRT, BTS, or ARL) - **Bilingual output** — every station record includes both Thai script (`station_name_th`) and English romanization (`station_name_en`), which is more than you'll get from a Google search --- ### Who Uses Thailand Transit Data? - **Travel app developers** — build station selectors, route planners, and schedule widgets for Bangkok tourism apps - **SE Asia trip-planning platforms** — populate stop data, transit options, and fare estimates for multi-modal itinerary builders - **Thailand MaaS startups** — seed the station database for mobility-as-a-service products integrating SRT, BTS, and urban rail - **Data journalists and researchers** — map transit access, coverage gaps, and service hours for urban mobility analyses - **Expat and digital-nomad tools** — help newcomers navigate Bangkok's overlapping rail networks with accurate bilingual data --- ### How It Works 1. **Select your operator.** Set `operator` to `any`, `srt`, `bts`, or `arl`. The default pulls all three sources in sequence. 2. **SRT station catalog.** Posts to the D-Ticket API, receives all ~750 stations in one response, filters active entries, and emits `srt_station` records. 3. **BTS station list and service times.** Posts to the EBM route-map API for all stations, then fetches first/last train times per station with bounded concurrency. 4. **ARL timetable.** Fetches the SRTET fare-timetable page, parses the HTML departure tables, and returns structured hourly schedules as JSON strings. --- ### Thailand Transit Scraper Input Fields ```json { "operator": "any", "includeFares": false, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "TH" }, "sp_intended_usage": "Transit data for Bangkok travel app", "sp_improvement_suggestions": "none" } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `operator` | string | `"any"` | Which network to scrape: `any`, `srt`, `bts`, or `arl` | | `includeFares` | boolean | `false` | Reserved for future BTS fare-per-pair calculations | | `maxItems` | integer | `15` | Maximum total records to return; set higher for full datasets | | `proxyConfiguration` | object | Thai residential | Apify proxy config; Thai residential recommended for geographic consistency | | `sp_intended_usage` | string | — | Required: describe your intended use of this data | | `sp_improvement_suggestions` | string | — | Required: feedback or "none" | *** ### Thailand Transit Scraper Output Fields Records come in three types, set by `record_type`. Each type populates a different subset of fields. #### SRT Station (`srt_station`) ```json { "record_type": "srt_station", "operator": "SRT", "service_id": "1001", "station_name_en": "Hua Lamphong", "station_name_th": "หัวลำโพง", "station_code_en": "HLP", "station_code_th": "หลป", "line": "SRT South", "line_id": "4", "scraped_at": "2025-11-01T08:30:00.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `record_type` | string | `srt_station` | | `operator` | string | `SRT` | | `service_id` | string | Internal station ID | | `station_name_en` | string | Station name in English | | `station_name_th` | string | Station name in Thai script | | `station_code_en` | string | English station code (e.g. HLP) | | `station_code_th` | string | Thai station code | | `line` | string | Line name: SRT North, SRT Northeast, SRT East, or SRT South | | `line_id` | string | Numeric line identifier as string | | `scraped_at` | string | ISO 8601 timestamp | #### BTS Station (`bts_station`) ```json { "record_type": "bts_station", "operator": "BTS", "service_id": "42", "station_name_en": "Asok", "station_name_th": "อโศก", "line": "Sukhumvit Line", "line_color": "#009C3B", "station_key": "E4", "station_order": "4", "latitude": 13.7363, "longitude": 100.5606, "first_train_to_end": "05:56", "first_train_to_start": "06:10", "last_train_to_end": "24:00", "last_train_to_start": "23:48", "scraped_at": "2025-11-01T08:30:00.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `record_type` | string | `bts_station` | | `operator` | string | `BTS` | | `service_id` | string | BTS internal station ID | | `station_name_en` | string | Station name in English | | `station_name_th` | string | Station name in Thai script | | `line` | string | Sukhumvit Line, Silom Line, or Gold Line | | `line_color` | string | Hex color code for the line | | `station_key` | string | BTS line key (e.g. N8, S6, G1) | | `station_order` | string | Sequence number on the line | | `latitude` | number | Station latitude | | `longitude` | number | Station longitude | | `first_train_to_end` | string | First train toward end of line (HH:MM) | | `first_train_to_start` | string | First train toward start of line (HH:MM) | | `last_train_to_end` | string | Last train toward end of line (HH:MM) | | `last_train_to_start` | string | Last train toward start of line (HH:MM) | | `scraped_at` | string | ISO 8601 timestamp | #### ARL Schedule (`arl_schedule`) ```json { "record_type": "arl_schedule", "operator": "ARL", "service_id": "arl_Bangkok_Aphiwat_Rangsit", "station_name_en": "Bangkok Aphiwat", "line": "ARL Red Line", "line_color": "#FF0000", "direction_from": "Bangkok Aphiwat", "direction_to": "Rangsit", "first_train_to_end": "05:43", "last_train_to_end": "23:30", "schedule_json": "[{\"hour\":5,\"minutes\":[43]},{\"hour\":6,\"minutes\":[0,15,30,45]},...]", "scraped_at": "2025-11-01T08:30:00.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `record_type` | string | `arl_schedule` | | `operator` | string | `ARL` | | `service_id` | string | Route identifier string | | `direction_from` | string | Departure origin station | | `direction_to` | string | Departure destination station | | `first_train_to_end` | string | First departure time (HH:MM) | | `last_train_to_end` | string | Last departure time (HH:MM) | | `schedule_json` | string | Full hourly schedule as JSON string | | `scraped_at` | string | ISO 8601 timestamp | *** ### 🔍 FAQ #### How do I scrape Thailand transit station data? Thailand Transit Scraper handles it in one run. Set `operator` to `any` to pull all three networks simultaneously, or target a single one (`srt`, `bts`, or `arl`) if you only need a subset. Full datasets return in under 2 minutes. #### What data can I get from the BTS Skytrain API? Thailand Transit Scraper returns all ~119 BTS stations across the Sukhumvit, Silom, and Gold lines, with bilingual names, GPS coordinates, line colors, station keys (e.g. N8, S6), and first/last service times per direction. That covers everything you need to build a station selector or schedule widget. #### How much does Thailand Transit Scraper cost to run? At the default pay-per-event rate, a full run costs roughly $0.001 per record — around $0.87 for all ~870 records. Test runs with `maxItems: 15` are negligible. #### Does Thailand Transit Scraper need proxies? Thailand Transit Scraper uses Thai residential proxies by default. The BTS API performs geographic checks, so a Thai IP is recommended. The SRT and ARL sources work without proxies, but the default configuration keeps everything consistent. #### Why is MRT Bangkok not included? The MRT Bangkok site (metro.bemplc.co.th) is behind an Imperva WAF that requires full browser rendering to bypass. It's out of scope for this actor. *** ### Need More Features? Need MRT Bangkok, fare pair calculations, or a different operator? [File an issue on the actor page](https://console.apify.com/actors/ujAVNwPmHdLyDgzpE) or contact us through the Apify console. ### Why Use Thailand Transit Scraper? - **Bilingual by default** — every SRT and BTS record includes both Thai script and English romanization, saving the translation step that other sources skip - **Three networks, one run** — SRT station catalog, BTS schedule data, and ARL timetables in a single actor with a single operator filter, which is more efficient than maintaining three separate scrapers - **Structured schedule output** — ARL departures come as parseable JSON arrays, not raw strings scraped from a timetable page # 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 ## `includeFares` (type: `boolean`): When enabled, fetch fare data for each BTS station pair. Increases run time significantly. Requires operator=bts or operator=any. ## `maxItems` (type: `integer`): Maximum total records to return. Default 15 for fast test runs; set higher for full datasets (SRT ~750 stations, BTS ~130 stations). ## `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", "includeFares": false, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "TH" } } ``` # 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", "includeFares": false, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "TH" } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/thailand-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", "includeFares": False, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "TH", }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/thailand-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", "includeFares": false, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "TH" } }' | apify call jungle_synthesizer/thailand-transit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/thailand-transit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Thailand Transit Scraper — SRT, BTS Skytrain & ARL Red Line", "description": "Extract Thailand transit data from three sources: SRT station catalog (~750 stations, bilingual Thai/English), BTS Skytrain stations with first/last train times (~119 stations), and ARL Red Line departure timetables. Outputs fares in THB, line assignments, and service direction data.", "version": "1.0", "x-build-id": "bG3ysgdX7JDvtLzZ5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~thailand-transit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-thailand-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~thailand-transit-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-thailand-transit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~thailand-transit-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-thailand-transit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "srt", "bts", "arl" ], "type": "string", "description": "", "default": "any" }, "includeFares": { "title": "Include BTS Fare Calculations", "type": "boolean", "description": "When enabled, fetch fare data for each BTS station pair. Increases run time significantly. Requires operator=bts or operator=any.", "default": false }, "maxItems": { "title": "Max Results", "type": "integer", "description": "Maximum total records to return. Default 15 for fast test runs; set higher for full datasets (SRT ~750 stations, BTS ~130 stations).", "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 } } } } } } } } } } ```