JobStreet Singapore Jobs Scraper

hipersoft/jobstreet-scraper

Scrape JobStreet Singapore jobs: title, company, salary label, classification, work type & arrangement, location, posting date and apply link. Filter by keyword/classification.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.0015

Last rebuilt

Oct 28, 2026

Overview

Scrape JobStreet Singapore job listings into clean JSON, CSV, Excel or XML. The JobStreet scraper extracts job title, company, salary label, job classification and sub-classification, work type, work arrangement, location, posting date, teaser, bullet points and the apply link. Filter by keyword, classification or work type and bulk-export thousands of jobs. Fast and reliable.

JobStreet Scraper input — keywords, classification and max jobs in the Apify Console

What does JobStreet Scraper do?

The JobStreet scraper crawls JobStreet Singapore search results and exports every job posting as a structured row. Search by keyword, narrow by classification or work type, set a limit, and get a clean dataset of titles, companies, salaries, locations and posting dates — ready to analyze or export to JSON, CSV, Excel or XML.

What data can you scrape from JobStreet?

Data point	Description
💼 Job basics	Job ID, title, teaser and bullet points
🏢 Company	Hiring company name
💲 Salary	Salary label shown on the posting
🗂️ Classification	Category and sub-category taxonomy
🕒 Work details	Work type (full/part-time) and arrangement (remote/hybrid/on-site)
📍 Location	One or more job locations
📅 Freshness	Posting date and display date
🔗 Links	Direct apply/job URL

What you get

JobStreet Scraper output example — job title, company, salary, classification and location as structured JSON

Each job is returned as a structured record like this:

{
  "id": "80012345",
  "title": "M&E Engineer",
  "company": "Unipac Consulting Engineers LLP",
  "salaryLabel": "S$4,000 – S$6,000 per month",
  "classification": "Engineering",
  "subClassification": "Building Services Engineering",
  "workTypes": ["Full time"],
  "workArrangements": ["On-site"],
  "locations": ["Central Region"],
  "listingDate": "2026-07-30T09:59:55Z",
  "listingDateDisplay": "2d ago",
  "teaser": "Design sustainable building systems…",
  "bulletPoints": ["M&E design", "Sustainable buildings"],
  "isFeatured": false,
  "url": "https://sg.jobstreet.com/job/80012345",
  "sourceUrl": "https://sg.jobstreet.com/software-engineer-jobs",
  "collectedAt": "2026-07-30T10:15:00.000Z"
}

Output schema

Field	Type	Description
`id`	string	Unique JobStreet job identifier
`title`	string	Job title
`company`	string	Hiring company name
`salaryLabel`	string	Salary as shown on the posting (may be empty)
`classification`	string	Top-level job category
`subClassification`	string	Job sub-category
`workTypes`	array	Work types (e.g. Full time, Part time, Contract)
`workArrangements`	array	Work arrangements (e.g. On-site, Hybrid, Remote)
`locations`	array	Job location(s)
`listingDate`	string (ISO date)	Date the job was posted
`listingDateDisplay`	string	Human-readable posting date (e.g. "2d ago")
`teaser`	string	Short job description snippet
`bulletPoints`	array	Key highlights from the listing
`isFeatured`	boolean	Whether the listing is promoted/featured
`url`	string (URL)	Direct link to the job
`sourceUrl`	string (URL)	Search URL the job was found on
`collectedAt`	string (ISO date)	Timestamp when the record was collected

Use cases

Job boards & aggregators — feed fresh Singapore job listings into your own board.
Recruitment intelligence — track who is hiring, for which roles, and where.
Salary benchmarking — collect salary labels by classification and title.
Hiring-market analysis — measure demand by category, work type and location.
Lead generation — build lists of companies actively hiring.
Talent research — monitor postings for specific skills or job families.

How to scrape JobStreet data

Add the JobStreet Scraper to your Apify account.
Enter keywords (job title or skill), or leave empty to collect all jobs.
Optionally set a classification or work type to narrow results.
Set Max jobs to control how much data you collect.
Click Run, then export the results as JSON, CSV, Excel or XML — or pull them via the Apify API.

Input

{
  "keywords": "software engineer",
  "maxItems": 500
}

Field	Type	Description
`keywords`	string	Job title / keyword / skill. Empty = all jobs.
`classification`	string	Optional classification id to filter by category.
`workType`	string	Optional work-type filter (full-time, part-time, contract, casual).
`maxItems`	integer	Maximum number of jobs to collect.

Need more jobs data?

FAQ

How many jobs can I scrape? As many as you like — set Max jobs, or leave keywords 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 keywords or filters, and run.

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 its listingDate and a collectedAt timestamp.

Can I filter by category or work type? Yes — set a classification and/or work type to narrow the results 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 JobStreet Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use 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 JobStreet's terms.

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with JobStreet's terms. Not affiliated with or endorsed by JobStreet or SEEK.

Input

Field	Type	Description
`keywords` Keywords	string	Job title / keyword / skill. Empty = all jobs.
`classification` Classification ID (optional)	string	Optional Seek classification id to filter by category. Empty = all.
`workType` Work type (optional)	string	Optional work-type filter (full-time, part-time, contract, casual). Empty = all.
`maxItems` Max jobs	integer	Maximum jobs to scrape. Default: `200`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~jobstreet-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/jobstreet-scraper").call(run_input={})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/jobstreet-scraper').call({});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job scraped.	$0.0015	$0.0015
API request One search page fetched (30 jobs).	$0.0008	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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