JobStreet Scraper — Jobs, Salaries, Companies & Locations

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.

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

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

1. Add the JobStreet Scraper to your Apify account.
2. Enter keywords (job title or skill), or leave empty to collect all jobs.
3. Optionally set a classification or work type to narrow results.
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

{
  "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?

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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.

Related Actors

• Bayt Jobs Scraper
• RemoteOK Jobs Scraper
• We Work Remotely Scraper

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.