# foundit Jobs Scraper — SEA roles, with reposting flagged (`entrogix_works/foundit-jobs`) Actor

Scrape foundit (formerly Monster) job listings across Singapore, Malaysia, Indonesia and Hong Kong. One row per job with salary, experience band, skills — and whether the posting is native to foundit or reposted from another board. Unofficial; not affiliated with foundit or Monster.

- **URL**: https://apify.com/entrogix\_works/foundit-jobs.md
- **Developed by:** [Entrogix Works](https://apify.com/entrogix_works) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 job scrapeds

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/actors/running/actors-in-store.md#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

## foundit Jobs Scraper — SEA roles, with reposting flagged

Search **foundit** (formerly Monster) across Singapore, Malaysia, Indonesia and Hong Kong, and get one row per job — with the field that changes how you read the result set: **whether the posting is native to foundit or reposted from another board.**

### Why that field matters

In testing, **19 of 20 Singapore listings for one role were reposts**, carrying apply links to `linkedin.com`, `mycareersfuture.gov.sg`, `careers.shopee.sg` and others. Count foundit listings as "the Singapore market" and you are counting other boards a second time. Every row carries `jobSource`, `isReposted` and `applyDomain`, and the run summary reports the share and the list of source domains.

### What you get per job

| Field | Example |
|---|---|
| `title`, `company` | `Senior Data Analyst`, `Adecco Group` |
| `salaryMinAnnual` / `salaryMaxAnnual` | `48000` / `72000` |
| `salaryMinMonthly` / `salaryMaxMonthly` | `4000` / `6000` — both bases are published |
| `salaryCurrency`, `salaryDisclosed` | `SGD`, `true` |
| `experienceMinYears` / `experienceMaxYears` | `4` / `6` |
| `isReposted`, `jobSource`, `applyDomain` | `true`, `SCRAPPING`, `linkedin.com` |
| `postedAt` | `2026-08-22T20:43:00.000Z` — a real timestamp, not "3 days ago" |
| `skills` | `["Microsoft Power Bi", "SQL", "Data Modeling"]` |
| `country`, `countryCode`, `url` | `Singapore`, `SG`, direct link |

**A salary of zero means "not disclosed", not "unpaid".** Those come back as `null`, and `salaryDisclosed` tells you which is which. In testing 6 of 20 listings disclosed pay.

### Countries

`singapore`, `malaysia`, `indonesia`, `hong-kong`.

**India is not offered.** It blocked 5 of 6 test requests where the other four markets passed 6 of 6. Rather than sell a market that fails most of the time, it is left out.

### Input

```json
{
  "queries": ["data analyst"],
  "country": "singapore",
  "maxItemsPerQuery": 20
}
```

Listings come 20 per page, so `maxItemsPerQuery` rounds up to whole pages. You are charged **per job returned**, and duplicates are removed before charging.

### Summary (key-value store, `SEARCH_SUMMARY`)

`totalJobs`, `uniqueCompanies`, **`repostedShare`**, **`repostedFrom`**, `salaryDisclosureRate`, `country`, `queries`.

### Limits, stated plainly

- A residential proxy is required. foundit refused datacenter traffic in every one of 12 test requests.
- `applyUrl` points wherever foundit points it, which for reposted listings is another job board. This Actor reads only foundit; it reports the destination rather than following it.
- If more than half the rows come back missing required fields, the run fails loudly rather than returning a thinned-out dataset.
- Only job listings are read. Nothing about applicants is collected.

Unofficial; not affiliated with foundit or Monster.

# Actor input Schema

## `queries` (type: `array`):

One or more job titles, for example 'data analyst'. You can also paste a foundit listing URL.

## `country` (type: `string`):

Which foundit market to search. India is not offered: it blocks datacenter and proxy traffic at a rate that would make runs unreliable, so it is excluded rather than sold as flaky.

## `maxItemsPerQuery` (type: `integer`):

Listings come 20 per page, so this rounds up to whole pages. You are charged per job returned.

## `minIntervalMs` (type: `integer`):

Pacing between page fetches. Do not lower this.

## `useProxy` (type: `boolean`):

Required. foundit refused datacenter traffic in every one of 12 test requests.

## Actor input object example

```json
{
  "queries": [
    "data analyst"
  ],
  "country": "singapore",
  "maxItemsPerQuery": 20,
  "minIntervalMs": 3000,
  "useProxy": true
}
```

# Actor output Schema

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

Every job this run produced, as JSON.

## `summary` (type: `string`):

How many jobs, how many employers, how much of the result set is reposted from other boards and where from, and how much of it discloses pay.

# 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 = {
    "queries": [
        "data analyst"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("entrogix_works/foundit-jobs").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 = { "queries": ["data analyst"] }

# Run the Actor and wait for it to finish
run = client.actor("entrogix_works/foundit-jobs").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 '{
  "queries": [
    "data analyst"
  ]
}' |
apify call entrogix_works/foundit-jobs --silent --output-dataset

```

## MCP server setup

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

```

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/LLz9E7sn2nwMAoVG8/builds/OA2u41OSWXvazPukt/openapi.json