# SEA O\&G Regulatory Monitor — DOSH, MOM, DOE Updates (`42far/sea-regulatory-monitor`) Actor Monitors regulatory bodies across Southeast Asia for new and updated regulations, guidelines, circulars, and enforcement changes relevant to oil & gas and industrial operations. Sources: DOSH Malaysia, MOM Singapore, DOE Malaysia. - **URL**: https://apify.com/42far/sea-regulatory-monitor.md - **Developed by:** [Ahmad A](https://apify.com/42far) (community) - **Categories:** AI, Automation - **Stats:** 2 total users, 1 monthly users, 25.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## SEA O&G Regulatory Monitor Monitors **regulatory bodies across Southeast Asia** for new and updated regulations, guidelines, circulars, and enforcement changes relevant to oil & gas and industrial operations. **Currently covers:** DOSH Malaysia 🇲🇾, MOM Singapore 🇸🇬, DOE Malaysia 🇲🇾, Kemnaker Indonesia 🇮🇩 ### Why This Exists If you work in O&G, petrochemicals, or heavy industry in Southeast Asia, you need to track regulatory changes from multiple agencies: - **DOSH (JKKP) Malaysia** — Occupational safety & health regulations, guidelines, enforcement - **MOM Singapore** — Workplace Safety & Health circulars, legislative changes - **DOE Malaysia** — Environmental regulations, EIA requirements, emission standards - **Kemnaker Indonesia** — Labor and workplace-safety news plus regulatory documents via JDIH Until now, you had to check each site manually. This actor does it all in one API call. ### Use Cases - 🏭 **O&G operators** — Stay compliant across Malaysia, Singapore, and Indonesia regulatory frameworks - 👷 **Safety consultants** — Monitor DOSH and MOM circulars for client advisories - ⚖️ **Compliance teams** — Track environmental regulation changes from DOE Malaysia - 📋 **EHS managers** — Get automated alerts when new guidelines affect your operations - 🏗️ **Industrial project managers** — Monitor EIA and regulatory changes that affect project timelines ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `sources` | Array | `["dosh_my", "mom_sg", "doe_my", "kemnaker_id"]` | Regulatory bodies to scan | | `maxItems` | Integer | `50` | Max updates to return (1-200) | | `sinceDays` | Integer | `30` | Only return updates from last N days (1-365) | #### Example ```json { "sources": ["dosh_my", "mom_sg", "kemnaker_id"], "maxItems": 20, "sinceDays": 7 } ```` ### Output Each item contains: | Field | Type | Example | |-------|------|---------| | `source` | String | `"DOSH Malaysia"` | | `country` | String | `"MY"` | | `title` | String | `"Guidelines on the use of chemicals for disinfection"` | | `pubDate` | String | `"2025-11-19"` | | `type` | String | `"circular"`, `"regulation"`, `"guideline"`, `"enforcement"`, `"consultation"`, `"news"` | | `summary` | String | Brief description of the update | | `url` | String | Direct URL to the source document | | `tags` | Array | `["wsh", "singapore", "chemical"]` | | `canonicalUrl` | String | Canonical source URL when the surfaced URL is a file asset or redirect | | `dateSource` | String | Provenance of the date, e.g. `time_tag`, `filename`, `wp_json_modified`, `card_text` | | `dateConfidence` | Number | Confidence score that `pubDate` reflects the real publication/effective date | | `isRecentVerified` | Boolean | Whether the item passed the verified recent-date gate | | `contentClass` | String | `regulatory`, `consultation`, `enforcement`, `news`, `general` | #### Example Output ```json { "source": "MOM Singapore", "country": "SG", "title": "Vertical Lifters in Conveyor Systems", "pubDate": "2026-03-16", "type": "circular", "summary": "WSH Circular on safety requirements for vertical lifters in conveyor systems", "url": "https://www.mom.gov.sg/-/media/mom/documents/safety-health/circulars/2026/circular-20260316-vertical-lifters-in-conveyor-systems.pdf", "tags": ["wsh", "singapore", "lifting"] } ``` ### Pricing - **Full scan (all sources):** $0.50/run - **Single source:** $0.25/run ### Integration Examples #### Schedule daily scans (Apify Console) 1. Open the actor in Apify Console 2. Go to **Schedule** tab → **Create schedule** 3. Set frequency: **Daily** (or **Weekly** for compliance monitoring) 4. Output is automatically stored in your dataset #### Use via API ```python import requests resp = requests.post( "https://api.apify.com/v2/acts/42far~sea-regulatory-monitor/runs", headers={"Content-Type": "application/json"}, json={"sources": ["dosh_my", "mom_sg", "doe_my", "kemnaker_id"], "maxItems": 20}, ) run_id = resp.json()["data"]["id"] ``` ### Local Verification (without Apify installed) If you want to verify the scraping/ranking pipeline locally without the `apify` package, call the extracted pipeline directly: ```python import asyncio from src.main import run_scan result = asyncio.run(run_scan(["mom_sg", "dosh_my", "kemnaker_id"], max_items=20, since_days=30)) for item in result["updates"]: print(item.pub_date, item.source, item.title) ``` #### Use with MCP (Claude, Cursor, Windsurf) Connect via the Apify MCP server — your Actor becomes a tool your AI agents can call directly for compliance intelligence. ### FAQ **How often should I run this?** - **Daily** — if you're monitoring regulatory changes that affect active projects - **Weekly** — for general compliance awareness - The cost is $0.50/run regardless of frequency **What happens if a source website changes format?** The actor returns fewer items or an error for that source. We monitor and fix source changes. Check the Issues tab for updates. **Can I get only new items since the last scan?** Use `sinceDays: 7` for weekly scans. Combine with your own URL deduplication on your end. **What sources will be added next?** PETRONAS Technical Standards, EMA Singapore (energy regulations), and Suruhanjaya Tenaga (Energy Commission Malaysia) are on the roadmap. **Is this suitable for US or European regulations?** No — this focuses specifically on SEA regulatory bodies (Malaysia, Singapore, and Indonesia). For US OSHA/EPA compliance, see ryanclinton's actors on the Store. **Do I need an Apify account to run this?** Yes. Sign up free at apify.com — your $5 free credit covers ~10 full scans. For regular use, upgrade to a paid plan. ### What Makes This Different - **Niche specificity** — Not "any website" but SEA O\&G regulatory bodies - **Pre-parsed output** — Structured fields (country, type, tags) not raw HTML - **Multi-source aggregation** — One API call instead of four separate scrapers - **Domain-aware** — Returns regulation types (circular, guideline, enforcement) not generic "updates" ### Roadmap - 🇲🇾 **PETRONAS Technical Standards** — Track PTS updates - 🇲🇾 **Energy Commission (Suruhanjaya Tenaga)** — Licensing & codes - 🇸🇬 **EMA Singapore** — Energy market regulations - 🇲🇾 **NIOSH Malaysia** — Safety training & certification changes - 📧 **Email alerts** — Scheduled runs with notification # Actor input Schema ## `sources` (type: `array`): Regulatory sources to scan ## `maxItems` (type: `integer`): Maximum number of updates to return ## `sinceDays` (type: `integer`): Only include verified updates published in the last N days ## Actor input object example ```json { "sources": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id" ], "maxItems": 50, "sinceDays": 30 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sources": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id" ] }; // Run the Actor and wait for it to finish const run = await client.actor("42far/sea-regulatory-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "sources": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id", ] } # Run the Actor and wait for it to finish run = client.actor("42far/sea-regulatory-monitor").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 '{ "sources": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id" ] }' | apify call 42far/sea-regulatory-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=42far/sea-regulatory-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEA O&G Regulatory Monitor — DOSH, MOM, DOE Updates", "description": "Monitors regulatory bodies across Southeast Asia for new and updated regulations, guidelines, circulars, and enforcement changes relevant to oil & gas and industrial operations. Sources: DOSH Malaysia, MOM Singapore, DOE Malaysia.", "version": "1.2", "x-build-id": "qY2eoYUMWN5XLIUdt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/42far~sea-regulatory-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-42far-sea-regulatory-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/42far~sea-regulatory-monitor/runs": { "post": { "operationId": "runs-sync-42far-sea-regulatory-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/42far~sea-regulatory-monitor/run-sync": { "post": { "operationId": "run-sync-42far-sea-regulatory-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sources": { "title": "Sources", "type": "array", "description": "Regulatory sources to scan", "items": { "type": "string", "enum": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id" ], "enumTitles": [ "DOSH Malaysia", "MOM Singapore", "DOE Malaysia", "Kemnaker Indonesia" ] }, "default": [ "dosh_my", "mom_sg", "doe_my", "kemnaker_id" ] }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of updates to return", "default": 50 }, "sinceDays": { "title": "Since days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only include verified updates published in the last N days", "default": 30 } } }, "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 } } } } } } } } } } ```