# MyCareersFuture Jobs Scraper (`jungle_synthesizer/mycareersfuture-jobs-scraper`) Actor
Scrape Singapore's official government job portal (MyCareersFuture.gov.sg). Extracts salary ranges, employer UEN, job categories, skills, and posting details. Salary disclosure is legally mandated under the FAIR Consideration Framework — uniquely rich vs. JobStreet or LinkedIn.
- **URL**: https://apify.com/jungle\_synthesizer/mycareersfuture-jobs-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 3 total users, 2 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
## MyCareersFuture Jobs Scraper
Scrape job listings from [MyCareersFuture.gov.sg](https://www.mycareersfuture.gov.sg), Singapore's official government job portal operated by Workforce Singapore. Returns structured job records including mandatory salary ranges, employer UEN (ACRA company registry number), skills, job categories, district and region, and full posting lifecycle dates for up to ~90,000 active listings.
---
### MyCareersFuture Scraper Features
- Extracts 20+ fields per job listing including salary min/max in SGD, employment type, and seniority level
- Captures employer UEN — Singapore's Unique Entity Number, which joins directly to ACRA company data for B2B enrichment
- Returns structured skill arrays from the government's curated skills taxonomy
- Collects job categories, district (e.g. D01 Cecil/Marina, D09 Orchard), and region (Central, East, West)
- Supports full-text search, category filters, employment type filters, and seniority level filters
- Pure API scraping — no browser, no proxies, no auth required
- Handles pagination automatically across ~90,000 active listings at ~4 requests/sec
---
### What Can You Do With MyCareersFuture Data?
- **Recruitment agencies** — Build targeted candidate outreach lists and track live vacancy counts by employer
- **Salary benchmarking startups** — Singapore is the only SE Asian market with legally mandated salary disclosure on job listings; this dataset has no equivalent in the region
- **Foreign HR teams** — Model cross-border compensation ranges for Employment Pass eligible roles at MNCs, banks, and tech firms
- **Immigration lawyers** — Advise EP applicants with current salary range data for specific roles and industries
- **Business intelligence teams** — Combine employer UEN with ACRA company data for full employer intelligence on hiring patterns and organizational growth signals
- **Researchers** — Analyze Singapore's labor market under the FAIR Consideration Framework, where employer compliance is structurally encoded into the dataset
---
### How MyCareersFuture Scraper Works
1. Configure your search. Provide a keyword query, category IDs, employment type IDs, or seniority level IDs — or leave all filters empty to retrieve all active listings.
2. The scraper calls the public MyCareersFuture API at `api.mycareersfuture.gov.sg/v2/jobs`, paginating through 100 results per request.
3. Each job record is transformed and saved with all 20+ fields including salary, UEN, skills, location, and posting dates.
4. The run stops when `maxItems` is reached or all active listings are exhausted.
---
### Input
```json
{
"searchQuery": "software engineer",
"categories": [],
"employmentTypes": [],
"positionLevels": [],
"maxItems": 100
}
````
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `searchQuery` | String | `""` | Full-text search across job titles, descriptions, and skills. Leave empty to retrieve all active listings. |
| `categories` | Array | `[]` | Filter by category IDs. Leave empty for all. Common IDs: `14`=Events/Promotions, `26`=Marketing/PR, `11`=Engineering, `17`=IT. |
| `employmentTypes` | Array | `[]` | Filter by employment type IDs. Leave empty for all. IDs: `1`=Permanent, `2`=Contract, `3`=Temporary, `4`=Part-Time, `8`=Full Time. |
| `positionLevels` | Array | `[]` | Filter by seniority IDs. Leave empty for all. IDs: `1`=Non-Executive, `3`=Professional, `4`=Manager, `5`=Senior Manager, `6`=Director. |
| `maxItems` | Integer | `100` | Maximum records to return. Set to `0` for all active listings (~90,000). |
***
### MyCareersFuture Scraper Output Fields
```json
{
"job_id": "0b5aa362f37ac403f7efe374f2b92948",
"job_post_id": "MCF-2026-0776599",
"title": "Senior Software Engineer",
"description": "We are looking for a Senior Software Engineer...
",
"employer_name": "ACME TECHNOLOGIES PTE. LTD.",
"employer_uen": "202010084M",
"employer_logo_url": "https://s3-ap-southeast-1.amazonaws.com/fileuploads.workipedia.com.s3/abc123/acme.jpg",
"hiring_company_name": "",
"hiring_company_uen": "",
"employment_type": "Full Time",
"seniority": "Professional",
"categories": ["Information Technology", "Engineering"],
"skills": ["Python", "AWS", "Kubernetes", "System Design"],
"min_experience_years": 5,
"salary_min_sgd": 7000,
"salary_max_sgd": 12000,
"salary_type": "Monthly",
"location": "1 RAFFLES QUAY Singapore 048583",
"district": "D01 Cecil, Marina, People's Park, Raffles Place",
"region": "Central",
"posted_date": "2026-05-01",
"expires_date": "2026-05-29",
"is_government_job": false,
"number_of_vacancies": 2,
"job_url": "https://www.mycareersfuture.gov.sg/job/information-technology/senior-software-engineer-acme-0b5aa362f37ac403f7efe374f2b92948",
"scraped_at": "2026-05-06T10:00:00.000Z"
}
```
| Field | Type | Description |
|-------|------|-------------|
| `job_id` | String | Unique job listing UUID from MyCareersFuture |
| `job_post_id` | String | Human-readable job post ID (e.g. MCF-2026-0776599) |
| `title` | String | Job title |
| `description` | String | Full job description (may contain HTML) |
| `employer_name` | String | Name of the posting company |
| `employer_uen` | String | Singapore UEN — joins to ACRA company registry |
| `employer_logo_url` | String | URL to employer logo image |
| `hiring_company_name` | String | Hiring company name if posted via a recruitment agency |
| `hiring_company_uen` | String | Hiring company UEN if different from poster |
| `employment_type` | String | Employment type (Full Time, Part Time, Contract, Temporary) |
| `seniority` | String | Position level (Professional, Manager, Senior Manager, Director) |
| `categories` | Array | Job category names (Engineering, IT, Marketing, etc.) |
| `skills` | Array | Skills required or preferred — government-curated taxonomy |
| `min_experience_years` | Number | Minimum years of experience required |
| `salary_min_sgd` | Number | Minimum monthly salary in SGD (mandatory disclosure) |
| `salary_max_sgd` | Number | Maximum monthly salary in SGD (mandatory disclosure) |
| `salary_type` | String | Salary period — Monthly or Annual |
| `location` | String | Full address (street, building, postal code) |
| `district` | String | Singapore postal district (e.g. D01 Cecil, Marina) |
| `region` | String | Singapore region (Central, East, West, North, North-East) |
| `posted_date` | String | Original posting date (YYYY-MM-DD) |
| `expires_date` | String | Listing expiry date (YYYY-MM-DD) |
| `is_government_job` | Boolean | Whether the employer is a Singapore government agency |
| `number_of_vacancies` | Number | Number of open positions for this role |
| `job_url` | String | Direct URL to the listing on MyCareersFuture.gov.sg |
| `scraped_at` | String | ISO 8601 timestamp when the record was scraped |
***
### 🔍 FAQ
#### How do I scrape MyCareersFuture job listings?
MyCareersFuture Scraper connects directly to the public API at `api.mycareersfuture.gov.sg`. Configure your filters in the input, set `maxItems`, and run — no login, no proxies, no configuration beyond what's in the input form.
#### What makes MyCareersFuture data unique compared to JobStreet or LinkedIn?
Salary disclosure is legally required on MyCareersFuture under Singapore's FAIR Consideration Framework. Every listing must include a salary range. JobStreet and LinkedIn make this optional; most employers leave it blank. That legal requirement is what makes this dataset worth having.
#### Can I get all ~90,000 active listings?
MyCareersFuture Scraper handles the full dataset. Set `maxItems` to `0` to remove the cap. A full crawl at 100 results/request takes roughly 900 API calls — plan your run accordingly.
#### What is the employer UEN field used for?
The `employer_uen` field is Singapore's Unique Entity Number — every registered company has one. It maps directly to the ACRA company registry, which means you can join MyCareersFuture job data with corporate filings, directors, and business classification data. That's the B2B enrichment angle most scrapers can't offer.
#### Does MyCareersFuture Scraper require proxies or a login?
MyCareersFuture Scraper does not require proxies or authentication. The API is public and returns full job data without a session. No API key, no account.
#### How much does it cost to run?
Pricing is pay-per-event: $0.10/start + $0.001/record. Running 1,000 records costs approximately $1.10. A full crawl of all ~90,000 active listings runs roughly $90, though most use cases only need a filtered subset.
***
### Need More Features?
Need custom category mapping, incremental runs by posting date, or additional filter fields? [File an issue](https://console.apify.com/actors/BojicFNHAXasS3xGb/issues) or get in touch.
### Why Use MyCareersFuture Scraper?
- **Salary data by law** — Every listing on MyCareersFuture includes salary ranges because employers are legally required to disclose them under the FAIR Consideration Framework. Nowhere else in SE Asia do you get this signal at scale.
- **UEN-enabled B2B joins** — The `employer_uen` field lets you link job data to ACRA company records: incorporation date, directors, paid-up capital, business classification. A salary scraper that doubles as a company intelligence feed.
- **Pure API, zero overhead** — No browser, no proxies, no captchas. Runs lean in 256MB and completes a filtered query in seconds.
# 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.
## `searchQuery` (type: `string`):
Full-text search across job titles, descriptions, and skills. Leave empty to retrieve all active listings.
## `categories` (type: `array`):
Filter by job category IDs. Use the API to enumerate valid IDs. Common IDs: 14=Events/Promotions, 26=Marketing/PR, 11=Engineering, 17=IT. Leave empty for all categories.
## `employmentTypes` (type: `array`):
Filter by employment type IDs. 1=Permanent, 2=Contract, 3=Temporary, 4=Part-Time, 8=Full Time. Leave empty for all types.
## `positionLevels` (type: `array`):
Filter by seniority level IDs. 1=Non-Executive, 3=Professional, 4=Manager, 5=Senior Manager, 6=Director, 7=C-Suite/CEO. Leave empty for all levels.
## `maxItems` (type: `integer`):
Maximum number of job listings to return. Set to 0 for unlimited (up to ~90,000 active listings).
## 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...",
"categories": [],
"employmentTypes": [],
"positionLevels": [],
"maxItems": 10
}
```
# 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...",
"searchQuery": "",
"categories": [],
"employmentTypes": [],
"positionLevels": [],
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/mycareersfuture-jobs-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...",
"searchQuery": "",
"categories": [],
"employmentTypes": [],
"positionLevels": [],
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/mycareersfuture-jobs-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...",
"searchQuery": "",
"categories": [],
"employmentTypes": [],
"positionLevels": [],
"maxItems": 10
}' |
apify call jungle_synthesizer/mycareersfuture-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jungle_synthesizer/mycareersfuture-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "MyCareersFuture Jobs Scraper",
"description": "Scrape Singapore's official government job portal (MyCareersFuture.gov.sg). Extracts salary ranges, employer UEN, job categories, skills, and posting details. Salary disclosure is legally mandated under the FAIR Consideration Framework — uniquely rich vs. JobStreet or LinkedIn.",
"version": "0.1",
"x-build-id": "kk9rHPJxTkBhZkUXS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jungle_synthesizer~mycareersfuture-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jungle_synthesizer-mycareersfuture-jobs-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jungle_synthesizer~mycareersfuture-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-jungle_synthesizer-mycareersfuture-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jungle_synthesizer~mycareersfuture-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-jungle_synthesizer-mycareersfuture-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"maxItems"
],
"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."
},
"searchQuery": {
"title": "Search Query",
"type": "string",
"description": "Full-text search across job titles, descriptions, and skills. Leave empty to retrieve all active listings."
},
"categories": {
"title": "Job Categories",
"type": "array",
"description": "Filter by job category IDs. Use the API to enumerate valid IDs. Common IDs: 14=Events/Promotions, 26=Marketing/PR, 11=Engineering, 17=IT. Leave empty for all categories.",
"items": {
"type": "string"
}
},
"employmentTypes": {
"title": "Employment Types",
"type": "array",
"description": "Filter by employment type IDs. 1=Permanent, 2=Contract, 3=Temporary, 4=Part-Time, 8=Full Time. Leave empty for all types.",
"items": {
"type": "string"
}
},
"positionLevels": {
"title": "Position Levels",
"type": "array",
"description": "Filter by seniority level IDs. 1=Non-Executive, 3=Professional, 4=Manager, 5=Senior Manager, 6=Director, 7=C-Suite/CEO. Leave empty for all levels.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max Items",
"type": "integer",
"description": "Maximum number of job listings to return. Set to 0 for unlimited (up to ~90,000 active listings).",
"default": 100
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```