JobStreet Jobs Scraper

Extract JobStreet job listings from Malaysia, Singapore, Philippines, and Indonesia in a structured format. Collect job titles, companies, salary details, classifications, posting timestamps, and detailed descriptions for market research, recruitment intelligence, and job trend monitoring.

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Features

• Multi-country coverage — Scrapes MY, SG, PH, and ID JobStreet sites.
• Flexible search modes — Use startUrl directly or build searches from keyword and location.
• Rich job records — Includes core fields, posting metadata, and API-level attributes.
• Pagination support — Continues across result pages until your limit is reached.
• Configurable collection size — Control run size with results_wanted.
• Proxy-ready runs — Supports standard Apify proxy configuration for reliability.

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Use Cases

Hiring Intelligence

Track active roles by company, location, and work type to benchmark recruitment activity in your target market.

Job Market Research

Analyze salary visibility, job volume, and posting freshness across countries and industries.

Lead Generation

Build targeted employer and vacancy datasets for staffing outreach and sales prospecting.

Trend Monitoring

Schedule recurring runs to monitor changes in role demand, classifications, and posting cadence.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Full JobStreet search URL to scrape directly.
keyword	String	No	"developer"	Search keyword used when startUrl is not provided.
location	String	No	—	Location filter used with keyword search.
country	String	No	"my"	Country site: my, sg, ph, id.
posted_date	String	No	"anytime"	Date filter: anytime, 24h, 7d, 30d.
results_wanted	Integer	No	20	Maximum jobs to collect (primary limit).
proxyConfiguration	Object	No	{"useApifyProxy":false}	Optional proxy settings (enable if you need extra reliability).

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Output Data

Each dataset item can include:

Field	Type	Description
id	String	Job ID extracted from listing URL.
url	String	Job detail URL.
title	String	Job title.
company	String	Hiring company name.
location	String	Job location.
salary	String	Salary text when available.
workType	String	Employment/work type label.
classification	String	Job classification/category label.
postedAt_iso	String	ISO timestamp of posting time.
subClassification	String	Job sub-classification label when available.
teaser	String	Short summary text for the role.
bulletPoints	Array	Highlight bullets when available.
workArrangements	Array	Work arrangement tags when available.
isFeatured	Boolean	Whether listing is featured.
isPremium	Boolean	Whether listing is premium.
tags	Array	Additional listing tags when available.
description_html	String	Job description HTML extracted from job detail page embedded data (with JSON-LD fallback).
description_text	String	Plain-text description derived from description_html.
source	String	Source marker for dataset lineage.
list_url	String	Listing URL where the job was found.
scrapedAt	String	ISO timestamp when item was scraped.

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Usage Examples

Basic Search

{
  "keyword": "data analyst",
  "location": "Malaysia",
  "results_wanted": 20
}

Country-Specific Search

{
  "keyword": "software engineer",
  "location": "Singapore",
  "country": "sg",
  "posted_date": "7d",
  "results_wanted": 40
}

Direct URL Mode

{
  "startUrl": "https://my.jobstreet.com/developer-jobs/in-Malaysia",
  "results_wanted": 30
}

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Sample Output

{
  "id": "90123456",
  "url": "https://my.jobstreet.com/job/90123456",
  "title": "Senior Software Engineer",
  "company": "Example Tech Sdn Bhd",
  "location": "Kuala Lumpur, Malaysia",
  "salary": "RM 8,000 - RM 12,000 per month",
  "workType": "Full time",
  "classification": "Information & Communication Technology",
  "subClassification": "Developers / Programmers",
  "postedAt_iso": "2026-02-26T03:12:11.000Z",
  "teaser": "Build and scale backend services for regional products.",
  "bulletPoints": [
    "Node.js and TypeScript",
    "AWS and CI/CD"
  ],
  "workArrangements": [
    "Hybrid"
  ],
  "isFeatured": true,
  "isPremium": false,
  "tags": [
    "backend",
    "cloud"
  ],
  "description_html": "<p>Build and maintain scalable backend services...</p>",
  "description_text": "Build and maintain scalable backend services...",
  "source": "jobstreet_api",
  "list_url": "https://my.jobstreet.com/software-engineer-jobs/in-Kuala-Lumpur",
  "scrapedAt": "2026-02-28T12:22:07.331Z"
}

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Tips for Best Results

Start Small

• Begin with results_wanted: 20 for quick validation.
• Increase limits only after confirming output quality.

Prefer Specific Queries

• Use precise keywords and locations to improve relevance.
• Apply posted_date to focus on recent roles.

Use Reliable Proxies

• Enable residential proxies if you hit blocking on larger runs.
• Keep concurrency moderate for consistent completion.

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Integrations

Connect output data with:

• Google Sheets — Analyze hiring trends and role volume.
• Airtable — Build searchable job intelligence databases.
• Make — Automate downstream enrichment workflows.
• Zapier — Trigger alerts and notifications.
• Webhooks — Send run results to your internal systems.

Export Formats

• JSON — API-ready structured output.
• CSV — Spreadsheet analysis.
• Excel — Business reporting.
• XML — System interoperability.

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Frequently Asked Questions

How many jobs can I collect per run?

You can collect as many as available, controlled by results_wanted.

Does it support multiple countries?

Yes. Set country to my, sg, ph, or id for keyword/location searches.

Can I use my own JobStreet search URL?

Yes. Provide startUrl and the actor will scrape from that URL directly.

Why are some fields sometimes empty?

Some listings do not expose all attributes (for example salary or classification), so those fields may be null.

How do I improve run reliability?

Keep request limits practical, and enable residential proxies in proxyConfiguration only when needed.

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Support

For issues or feature requests, use the Apify Console issue/support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection use cases. You are responsible for complying with website terms and applicable laws in your jurisdiction.