# Singapore Jobs Scraper - MyCareersFuture (`goat255/mycareersfuture-scraper`) Actor Scrape Singapore job listings from MyCareersFuture by keyword. No login. Returns clean, structured rows with title, company, salary band, employment type, position level, skills, location and posting dates. Walks pagination up to your chosen limit. - **URL**: https://apify.com/goat255/mycareersfuture-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## MyCareersFuture Scraper Extract Singapore job listings from MyCareersFuture at scale, no login or API key. Search any keyword and the scraper walks pagination automatically up to the limit you set, so you can collect hundreds or thousands of jobs per search in a single run. Every row comes back in one clean, structured shape with title, company, salary band, employment type, position level, skills, location, and posting dates. ### What it does - **Keyword search** - jobs matching any search term, one search per query. - **Sort control** - order by relevance, newest posting, or highest salary. - **Pagination** - each search walks multiple pages (100 jobs per page) until your `maxItemsPerSource` is reached or the results run out. - **Clean records** - salary band, employment type, position level, category, skills, and posting dates in a stable, ordered shape ready for a spreadsheet or a database. Common uses: salary benchmarking, hiring-market research, recruiter lead lists, labour-market analysis, and building a Singapore jobs dataset. ### Input | Field | Type | Description | |---|---|---| | `searchQueries` | array | Job keywords to search. Example: `software engineer`, `nurse`, `marketing`. One search runs per entry. | | `sortBy` | string | `relevancy` (default), `new_posting_date` for newest first, or `salary` for highest salary first. | | `maxItemsPerSource` | integer | Cap on jobs per search. Default 200. | | `proxyConfiguration` | object | Optional. The source is public and works without a proxy; enable only if you want to route through a proxy. | `searchQueries` is required. #### Example input ```json { "searchQueries": ["software engineer", "data analyst"], "sortBy": "new_posting_date", "maxItemsPerSource": 500 } ```` ### Output Each item is one normalized job listing. ```json { "jobPostId": "MCF-2026-1020456", "uuid": "cb019e5e9bb79ce71914f8c6779ac9f3", "title": "Software Engineer", "company": "Acme Co", "companyUen": "201700000A", "salaryMin": 3000, "salaryMax": 5000, "salaryType": "Monthly", "employmentTypes": ["Permanent"], "positionLevels": ["Non-executive"], "categories": ["Engineering", "Manufacturing"], "schemes": [], "skills": ["PLC Programming", "Debugging", "Automation Design"], "flexibleWorkArrangements": [], "minimumYearsExperience": null, "numberOfVacancies": null, "address": "300 Beach Road The Concourse", "postalCode": "199555", "district": "Central", "totalApplications": 0, "newPostingDate": "2026-07-17", "updatedAt": "2026-07-17T03:33:43", "url": "https://www.mycareersfuture.gov.sg/job/example", "scrapedAt": "2026-07-18T11:55:00.000Z" } ``` Fields with no value (for example a job that hides its address) come back as `null` or an empty array, so the shape is always the same. ### Notes - No login and no API key. Just set your search terms and run. - The scraper is polite and paginates in order; set `maxItemsPerSource` to control run size and cost. - Salary is returned as a band with its type (Monthly, Annually, and so on) exactly as published. **Found this useful?** [Leave a quick review](https://apify.com/goat255/mycareersfuture-scraper/reviews). It takes a few seconds and it genuinely helps other people find the actor. # Actor input Schema ## `searchQueries` (type: `array`): Job keywords to search on MyCareersFuture, e.g. "software engineer", "nurse", "marketing". One search runs per entry. ## `sortBy` (type: `string`): Result ordering. "relevancy" (default), "new\_posting\_date" for newest first, or "salary" for highest salary first. ## `maxItemsPerSource` (type: `integer`): Cap on how many jobs to return per search query. The API pages 100 at a time. ## `proxyConfiguration` (type: `object`): Optional. The MyCareersFuture API is public and works without a proxy; enable this only if you want to route requests through Apify Proxy. ## Actor input object example ```json { "searchQueries": [ "software engineer", "data analyst" ], "sortBy": "relevancy", "maxItemsPerSource": 200, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `jobs` (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 = { "searchQueries": [ "software engineer" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/mycareersfuture-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": ["software engineer"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("goat255/mycareersfuture-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": [ "software engineer" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call goat255/mycareersfuture-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/mycareersfuture-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Singapore Jobs Scraper - MyCareersFuture", "description": "Scrape Singapore job listings from MyCareersFuture by keyword. No login. Returns clean, structured rows with title, company, salary band, employment type, position level, skills, location and posting dates. Walks pagination up to your chosen limit.", "version": "0.1", "x-build-id": "c65a6SphfswLsDbqA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~mycareersfuture-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-mycareersfuture-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~mycareersfuture-scraper/runs": { "post": { "operationId": "runs-sync-goat255-mycareersfuture-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~mycareersfuture-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-mycareersfuture-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Job keywords to search on MyCareersFuture, e.g. \"software engineer\", \"nurse\", \"marketing\". One search runs per entry.", "items": { "type": "string" } }, "sortBy": { "title": "Sort by", "enum": [ "relevancy", "new_posting_date", "salary" ], "type": "string", "description": "Result ordering. \"relevancy\" (default), \"new_posting_date\" for newest first, or \"salary\" for highest salary first.", "default": "relevancy" }, "maxItemsPerSource": { "title": "Max jobs per search", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Cap on how many jobs to return per search query. The API pages 100 at a time.", "default": 200 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. The MyCareersFuture API is public and works without a proxy; enable this only if you want to route requests through Apify Proxy." } } }, "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 } } } } } } } } } } ```