# MyCareersFuture Singapore Jobs Scraper — Salary & UEN (`hipersoft/mycareersfuture-scraper`) Actor

Scrape jobs from MyCareersFuture (Singapore's national jobs portal): title, company + UEN, salary range, skills, categories, position level, employment type and apply link. Filter & bulk. Public API, no key.

- **URL**: https://apify.com/hipersoft/mycareersfuture-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.002 / job scraped

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 — Jobs, Salaries, Skills & Companies

Scrape jobs from **MyCareersFuture**, Singapore's national jobs portal, into clean JSON, CSV, Excel or XML. The **MyCareersFuture scraper** extracts **salary range, hiring company and UEN, skills, categories, position level, employment type, work arrangements, scheme eligibility, vacancies, application count and the apply link**. Filter by keyword, salary, type, level or category and bulk-export thousands of jobs. Fast and reliable.

![MyCareersFuture Scraper input — search keyword, minimum salary and max jobs in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/mycareersfuture-scraper-input.png?v=5)

### What does MyCareersFuture Scraper do?

The MyCareersFuture scraper crawls the MyCareersFuture Singapore job search and exports every posting as a structured row. Search by keyword, filter by salary, employment type, position level or category, set a limit, and get a clean dataset of salaries, companies, skills and requirements — ready to analyze or export to JSON, CSV, Excel or XML.

### What data can you scrape from MyCareersFuture?

| Data point | Description |
|------------|-------------|
| 💼 Job basics | Job post ID, UUID, title, address, apply link |
| 🏢 Company | Company name and UEN (join jobs to companies) |
| 💰 Salary | Minimum and maximum salary, salary type |
| 🧠 Skills & categories | Required skills and job categories |
| 🎚️ Requirements | Position level, employment type, work arrangement, years of experience |
| 🏷️ Schemes | Government scheme eligibility |
| 📊 Demand signals | Number of vacancies and application count |
| 📅 Dates | Posting date, updated date, expiry date |

### What you get

![MyCareersFuture Scraper output example — salary, company UEN, skills and categories as structured JSON](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/mycareersfuture-scraper-output.png?v=5)

Each job is returned as a structured record like this:

```json
{
  "jobPostId": "MCF-2026-1313354",
  "uuid": "a1b2c3d4e5f6",
  "title": "Senior Data Engineer",
  "company": "ACME PTE LTD",
  "companyUen": "T17LL1383D",
  "isHiddenEmployer": false,
  "salaryMin": 8000,
  "salaryMax": 11000,
  "salaryType": "Monthly",
  "isSalaryHidden": false,
  "employmentTypes": ["Permanent", "Full Time"],
  "positionLevels": ["Senior Executive"],
  "categories": ["Information Technology"],
  "skills": ["Python", "ETL", "SQL"],
  "schemes": ["Career Conversion Programme"],
  "flexibleWorkArrangements": ["Hybrid"],
  "minimumYearsExperience": "5",
  "numberOfVacancies": "2",
  "applications": 37,
  "address": "21, WOODLANDS CLOSE, 737854",
  "postingDate": "2026-07-30",
  "updatedAt": "2026-07-30T02:00:00.000Z",
  "expiryDate": "2026-08-29",
  "url": "https://www.mycareersfuture.gov.sg/job/information-technology/...",
  "sourceUrl": "https://www.mycareersfuture.gov.sg",
  "collectedAt": "2026-07-30T08:45:00.000Z"
}
```

#### Output schema

| Field | Type | Description |
|-------|------|-------------|
| `jobPostId` | string | MyCareersFuture job post identifier |
| `uuid` | string | Internal unique job identifier |
| `title` | string | Job title |
| `company` | string | Hiring company name |
| `companyUen` | string | Company UEN (business registration number) |
| `isHiddenEmployer` | boolean | Whether the employer name is hidden |
| `salaryMin` | integer | Minimum salary |
| `salaryMax` | integer | Maximum salary |
| `salaryType` | string | Salary period (e.g. Monthly, Annually) |
| `isSalaryHidden` | boolean | Whether the salary is hidden by the employer |
| `employmentTypes` | array | Employment types (e.g. Permanent, Full Time) |
| `positionLevels` | array | Position/seniority levels |
| `categories` | array | Job categories |
| `skills` | array | Required skills |
| `schemes` | array | Government scheme eligibility |
| `flexibleWorkArrangements` | array | Flexible work arrangements (e.g. Hybrid, Remote) |
| `minimumYearsExperience` | string | Minimum years of experience required |
| `numberOfVacancies` | string | Number of vacancies for the role |
| `applications` | integer | Number of applications received |
| `address` | string | Job location / address |
| `postingDate` | string | Date the job was posted |
| `updatedAt` | string (ISO date) | Date the listing was last updated |
| `expiryDate` | string | Date the listing expires |
| `url` | string (URL) | Direct apply link for the job |
| `sourceUrl` | string (URL) | Search URL the job was found on |
| `collectedAt` | string (ISO date) | Timestamp when the record was collected |

### Use cases

- **Salary benchmarking** — collect minimum/maximum salaries by role, category and level.
- **Recruitment intelligence** — track who is hiring, which skills, and how many vacancies.
- **Company lead generation** — join jobs to companies via UEN for outreach lists.
- **Job boards & aggregators** — feed fresh Singapore jobs into your own board.
- **Skills & demand analysis** — measure in-demand skills and application volumes.
- **Market research** — study hiring trends across categories, schemes and levels.

### How to scrape MyCareersFuture data

1. Add the **MyCareersFuture Scraper** to your Apify account.
2. Enter a **search keyword** (title or skill), or leave it empty to collect all jobs.
3. Optionally set a **minimum salary**, **employment type**, **position level** or **category**.
4. Set **Max jobs** to control how much data you collect.
5. Click **Run**, then export the results as JSON, CSV, Excel or XML — or pull them via the Apify API.

### Input

```json
{
  "search": "data engineer",
  "salaryMin": 6000,
  "sortBy": "min_monthly_salary",
  "maxItems": 1000
}
```

| Field | Type | Description |
|-------|------|-------------|
| `search` | string | Keyword / title / skill. Empty = all jobs. |
| `salaryMin` | integer | Minimum monthly salary (SGD). `0` = any. |
| `sortBy` | string | Sort order: newest, relevancy or salary. |
| `employmentType` | string | Filter (e.g. Permanent, Full Time, Contract). |
| `positionLevel` | string | Filter (e.g. Professional, Manager, Senior Executive). |
| `category` | string | Filter (e.g. Healthcare, Information Technology, Engineering). |
| `maxItems` | integer | Maximum number of jobs to collect. |

### Need more jobs data?

- [JobStreet Scraper](https://apify.com/hipersoft/jobstreet-scraper)
- [Indeed Scraper](https://apify.com/hipersoft/indeed-scraper)
- [Greenhouse Job Board Scraper](https://apify.com/hipersoft/greenhouse-scraper)
- [Naukri Jobs Scraper](https://apify.com/hipersoft/naukri-scraper)
- [Bayt Jobs Scraper](https://apify.com/hipersoft/bayt-scraper)

### FAQ

**How many jobs can I scrape?**
As many as you like — set **Max jobs**, or leave the search empty to collect the full listing set.

**Do I need any setup or a login?**
No setup and no login. Just add the actor, enter a keyword or filters, and run.

**Do all jobs show salary?**
Most do; some employers hide it (`isSalaryHidden`), in which case the salary fields are empty.

**Which export formats are supported?**
JSON, CSV, Excel and XML, plus the Apify API and dataset views.

**How fresh is the data?**
Every run collects live listings, each stamped with a `postingDate`, `updatedAt` and `collectedAt`.

**Can I filter by salary, category or level?**
Yes — set a minimum salary, employment type, position level and/or category before running.

**How does billing work?**
You pay per job you collect — no subscriptions and no minimums.

**Can I connect it to other tools?**
The MyCareersFuture Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Is it legal?**
The scraper collects only publicly available job listing data. You are responsible for how you use the data and for complying with MyCareersFuture's terms.

### Related Actors

- [PropertyGuru Scraper](https://apify.com/hipersoft/propertyguru-scraper)
- [Singapore School Directory](https://apify.com/hipersoft/sg-school-scraper)
- [Google Maps Scraper](https://apify.com/hipersoft/google-maps-scraper)

### Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with MyCareersFuture's terms. Not affiliated with or endorsed by MyCareersFuture, WSG or the Singapore Government. </content>

# Actor input Schema

## `search` (type: `string`):

Job title / keyword / skill. Empty = all jobs (~70k).

## `salaryMin` (type: `integer`):

Only jobs with monthly salary at least this. 0 = any.

## `sortBy` (type: `string`):

new\_posting\_date, relevancy or salary.

## `employmentType` (type: `string`):

Filter e.g. Permanent, Full Time, Contract, Part Time. Empty = all.

## `positionLevel` (type: `string`):

Filter e.g. Professional, Manager, Senior Executive, Fresh/Entry. Empty = all.

## `category` (type: `string`):

Filter e.g. Healthcare, Information Technology, Engineering. Empty = all.

## `maxItems` (type: `integer`):

Maximum jobs to scrape.

## Actor input object example

```json
{
  "search": "",
  "salaryMin": 0,
  "sortBy": "new_posting_date",
  "employmentType": "",
  "positionLevel": "",
  "category": "",
  "maxItems": 200
}
```

# Actor output Schema

## `results` (type: `string`):

The scraped results as dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/mycareersfuture-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call hipersoft/mycareersfuture-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/mycareersfuture-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/rnQ58cCwn5ePceWvR/builds/zMe8PM5Cjd06ZRcjL/openapi.json