# Karir.com Job Scraper (`romy/karir-job-scraper`) Actor

Scrape job listings from karir.com by keyword, location, and category using the internal JSON API.

- **URL**: https://apify.com/romy/karir-job-scraper.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** Lead generation
- **Security:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does Karir.com Job Scraper do?

**Karir.com Job Scraper** extracts job listings from [karir.com](https://karir.com) — Indonesia's leading job portal — using its internal JSON API. For each listing it collects the full job title, company, location, salary range (when available), job type, experience requirements, and complete description and qualifications text.

### Why use Karir.com Job Scraper?

- **Recruiters:** Monitor the competitive landscape — see what roles companies are hiring for and at what salary ranges.
- **Job seekers:** Bulk-collect listings matching your skill set for analysis or comparison without manual browsing.
- **HR analytics teams:** Track hiring trends in Indonesia by city, industry, or function over time.
- **Researchers:** Study Indonesia's labor market — demand by role, geographic distribution, experience requirements.

### How to use Karir.com Job Scraper

1. Open the Actor in Apify Console and click **Try for free**.
2. Enter a **Search Keyword** (required) — e.g. `data analyst`, `software engineer`, `marketing manager`.
3. Optionally set a **Location** (e.g. `Jakarta`, `Bandung`) and **Job Category** (e.g. `IT`, `Finance`).
4. Set **Max Results** to cap the number of listings (default: 50, max: 1000).
5. Click **Start** and wait for the run to finish. Results appear in the **Output** tab.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `keyword` | string | required | Search keyword, e.g. `data analyst` |
| `location` | string | `""` | City filter (partial match), e.g. `Jakarta` |
| `category` | string | `""` | Job function filter (partial match), e.g. `IT` |
| `max_results` | integer | `50` | Max listings to collect (1–1000) |

### Output

Each item in the dataset represents one job listing:

```json
{
  "id": 1401103,
  "title": "Data Analyst",
  "company": "PT Tokopedia",
  "industry": "Technology",
  "location": "Jakarta Selatan",
  "workplace": "On-site",
  "job_type": "Full Time",
  "salary_lower": null,
  "salary_upper": null,
  "salary_info": "LABEL_COMPETITIVE_SALARY",
  "experience_years": 2,
  "job_levels": ["Staff"],
  "degrees": ["Bachelor"],
  "job_functions": ["Data & Analytics"],
  "description": "Responsibilities text...",
  "requirements": "Qualifications text...",
  "posted_at": "2026-05-26T02:30:00Z",
  "expires_at": "2026-06-02T00:00:00Z",
  "url": "https://karir.com//opportunities/1401103"
}
```

You can download the dataset in JSON, CSV, Excel, or HTML formats from the Output tab.

### Data fields

| Field | Format | Notes |
|---|---|---|
| `id` | number | Karir.com internal opportunity ID |
| `title` | text | Job position title |
| `company` | text | Company name |
| `industry` | text | Company industry |
| `location` | text | City / area |
| `workplace` | text | On-site / Remote / Hybrid |
| `job_type` | text | Full Time, Part Time, Contract, etc. |
| `salary_lower` | number | Min salary (IDR), null if not disclosed |
| `salary_upper` | number | Max salary (IDR), null if not disclosed |
| `salary_info` | text | `LABEL_COMPETITIVE_SALARY` if undisclosed |
| `experience_years` | number | Required years of experience |
| `job_levels` | array | Seniority levels (e.g. Staff, Manager) |
| `degrees` | array | Required education degrees |
| `job_functions` | array | Job function tags |
| `description` | text | Full responsibilities (plain text) |
| `requirements` | text | Full qualifications (plain text) |
| `posted_at` | date | ISO 8601 posting date |
| `expires_at` | date | ISO 8601 application deadline |
| `url` | link | Direct link to the listing |

### Pricing

This Actor uses **Pay Per Event (PPE)** pricing — you pay per dataset item collected. A run scraping 100 listings typically costs less than $0.10.

### FAQ and disclaimers

This Actor accesses publicly available job listing data from karir.com for research and informational purposes. It respects rate limits and does not bypass authentication. Use in accordance with karir.com's Terms of Service.

For bugs or feature requests, open an issue on the Issues tab. Custom scraping solutions available on request.

# Actor input Schema

## `keyword` (type: `string`):

Job search keyword, e.g. 'data analyst', 'software engineer'.

## `location` (type: `string`):

City filter, e.g. 'Jakarta', 'Bandung'. Leave empty for all cities.

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

Job function/category filter, e.g. 'IT', 'Finance'. Leave empty for all categories.

## `max_results` (type: `integer`):

Maximum number of job listings to collect (1-1000).

## Actor input object example

```json
{
  "keyword": "software engineer",
  "location": "",
  "category": "",
  "max_results": 50
}
```

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

// Prepare Actor input
const input = {
    "keyword": "software engineer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("romy/karir-job-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 = { "keyword": "software engineer" }

# Run the Actor and wait for it to finish
run = client.actor("romy/karir-job-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 '{
  "keyword": "software engineer"
}' |
apify call romy/karir-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,romy/karir-job-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/MIMYFcdICtlOpdOIC/builds/c0mVsGWj0BW1XzkfW/openapi.json