# JobStreet / JobsDB / SEEK Jobs Scraper (`scrapyx/jobstreet-jobs-scraper`) Actor
Scrapes job listings with full descriptions from JobStreet (ID/MY/PH/SG), JobsDB (TH/HK) and SEEK (AU/NZ) — keyword and location search with work-type, salary and date filters, plus direct job-URL lookup.
- **URL**: https://apify.com/scrapyx/jobstreet-jobs-scraper.md
- **Developed by:** [Ibnu Adzim](https://apify.com/scrapyx) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.35 / 1,000 results
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 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
## JobStreet / JobsDB / SEEK Jobs Scraper
Extract job listings — with the **complete job description** — from JobStreet
(Indonesia, Malaysia, Philippines, Singapore), JobsDB (Thailand, Hong Kong)
and SEEK (Australia, New Zealand). One actor, eight markets, one output shape.
### Why use this actor
- **No account, no login, no API key.** Point it at a keyword and run.
- **Eight countries from one actor.** Pick the market from a dropdown — the
data comes back in the same shape every time, so a multi-country pipeline is
one schedule instead of eight.
- **Full job ads, not just cards.** Every row can carry the complete
description, the employer's screening questionnaire, benefit bullets,
advertiser identity and the exact salary band the employer published.
- **Filters that match the site's own:** keyword, location, work type,
on-site/hybrid/remote, salary range, industry classification, and
"posted in the last N days" — ideal for a scheduled run that only picks up
new postings.
- **Direct job lookup.** Already have job URLs or IDs? Feed them in and skip
search entirely — useful for re-checking whether a role is still open.
- **Stable JSON for pipelines.** Every input always produces at least one row,
including a labelled row when something goes wrong, so joins downstream
never silently lose records. Export to JSON, CSV or Excel.
### How it works
1. You choose a market and give it search keywords (and optionally a location
and filters), or a list of job URLs.
2. The actor runs each keyword as its own search and pages through the
results until it hits your item cap or the listings run out.
3. If full descriptions are enabled, it then fetches the complete ad for
every job it found.
4. Each job is written to the dataset as one row, together with a summary row
per search telling you how many matches the site reported and whether your
location filter was understood.
Retries and back-off are handled for you. There are no scrapers, browsers or
blocks to babysit.
### Input
```json
{
"country": "ID",
"keywords": ["data analyst"],
"location": "Jakarta",
"maxItemsPerQuery": 100,
"includeJobDetails": true,
"sortBy": "ListedDate",
"postedWithinDays": 7,
"workTypes": ["Full time"],
"workArrangements": ["Remote", "Hybrid"],
"salaryMin": 10000000,
"salaryType": "monthly",
"maxConcurrency": 4
}
```
| Field | Type | Description |
|---|---|---|
| `country` | string | Market to search: `ID`, `MY`, `PH`, `SG` (JobStreet), `TH`, `HK` (JobsDB), `AU`, `NZ` (SEEK). Default `ID`. |
| `keywords` | array | One search per entry. Leave empty to browse everything in the market. |
| `location` | string | Optional location, e.g. `Jakarta`, `Indonesia`, `Kuala Lumpur`, `Sydney`. |
| `jobUrls` | array | Scrape specific ads directly — a full job URL or a bare numeric job ID. Can be combined with a keyword search. |
| `maxItemsPerQuery` | integer | Stop each search after this many jobs. `0` = unlimited. Default `100`. |
| `includeJobDetails` | boolean | Fetch the full description for every result. Turn off for a fast listing-only crawl. Default `true`. |
| `sortBy` | string | `KeywordRelevance` (default) or `ListedDate` (newest first). |
| `postedWithinDays` | integer | Only jobs listed in the last N days — `1` for the last 24 hours, `7` for the last week. Any day count works. `0` = any date. |
| `workTypes` | array | Any of `Full time`, `Part time`, `Contract/Temp`, `Casual/Vacation`. |
| `workArrangements` | array | Any of `On-site`, `Hybrid`, `Remote`. |
| `classificationIds` | array | Industry classification IDs, e.g. `1209` (Engineering). Every returned job carries its own IDs, so run once without this to discover them. |
| `salaryMin` / `salaryMax` | integer | Salary bounds in local currency. Setting either excludes ads published without a salary. |
| `salaryType` | string | `monthly` (Asian markets) or `annual` (AU/NZ). |
| `maxConcurrency` | integer | Requests in flight at once. Default `4`. |
| `proxyConfiguration` | object | Optional. Residential is recommended for large or scheduled runs. |
#### Direct job lookup
```json
{
"country": "ID",
"jobUrls": [
"https://id.jobstreet.com/job/93908556",
"93911766"
],
"includeJobDetails": true
}
```
### Output
Every row carries `recordType`: `JOB` for a job, `SEARCH_SUMMARY` once per
search, `ERROR` when an input could not be processed.
#### `JOB` — real output, truncated for length
```json
{
"_input": "ID | keywords='data analyst' | where='Jakarta'",
"_source": "S1-search+S2-job-detail",
"_scrapedAt": "2026-08-11T16:20:57Z",
"recordType": "JOB",
"country": "ID",
"brand": "JobStreet",
"jobId": "93911766",
"jobUrl": "https://id.jobstreet.com/job/93911766",
"searchContext": { "keywords": "data analyst", "where": "Jakarta", "page": 1, "rank": 1 },
"title": "Data Analyst - Staff",
"companyName": "Erajaya",
"advertiser": { "id": "60216256", "description": "Erajaya Group" },
"employer": {
"id": "519523",
"name": "Erajaya",
"companyId": "176596129818055",
"companyUrl": "https://id.jobstreet.com/companies/erajaya-176596129818055"
},
"classifications": [
{
"classification": { "id": "6251", "description": "Administration & Office Support" },
"subclassification": { "id": "6255", "description": "Data Entry & Word Processing" }
}
],
"locations": [
{ "label": "Jakarta", "countryCode": "ID", "seoHierarchy": [{ "contextualName": "Jakarta" }] }
],
"salaryLabel": "",
"workTypes": ["Full time"],
"workArrangements": { "data": [{ "id": "1", "label": { "text": "On-site" } }] },
"listingDate": "2026-08-11T14:05:39Z",
"listingDateDisplay": "2h ago",
"teaser": "Advance in data formulation in Excel\nHaving exposure to SQL will be an advantage\ncapable of speaking in English",
"roleId": "Data-Analyst-Staff",
"isFeatured": false,
"jobDetails": {
"job": {
"id": "93911766",
"title": "Data Analyst - Staff",
"abstract": "Advance in data formulation in Excel\nHaving exposure to SQL will be an advantage…",
"content": "\n\n- Make weekly, monthly, quarterly & yearly reports using Canva/ PowerPoint
\n- Doing Analytical & insights for the department
\n- Helping the team with administration, especially in relation to payment & purchase
\n