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JobStreet Jobs Scraper (Malaysia, Singapore, Philippines, Indonesia)

Scrape job listings from JobStreet across all four Southeast Asian markets: Malaysia (my.jobstreet.com), Singapore (sg.jobstreet.com), the Philippines (ph.jobstreet.com), and Indonesia (id.jobstreet.com). The actor reads JobStreet's public JSON search and returns one clean, flat record per job, with an optional full description, company overview, salary, and contact details pulled from the public job-detail endpoint. No browser, fast, and inexpensive.

Search two ways: fill in the filter fields (country, keywords, location, category, work type, salary, date range), or paste one or more JobStreet search URLs and let the actor read the filters straight from each link.

Why this scraper

• Covers all four JobStreet country sites from one actor, with the country auto-detected from each pasted URL.
• 60+ fields per job, including the full HTML description, plain-text body, bullet points, salary, company overview, and any phone numbers or emails found in the ad body.
• Detail enrichment is batched: one extra request fetches the full description for a whole page of up to 22 jobs, so deep runs stay fast.
• Forward pagination across as many pages as you allow, with automatic de-duplication by job ID.
• Filter by category and subcategory, work type, salary range (monthly or annual), and listing recency.
• Global caps on item count and run time, so a run never overshoots your budget. Partial results are always flushed.

Data you get

Sample shape, values are illustrative placeholders, not from a live listing.

The full record carries more: classifications[] with IDs, workArrangementLabels, salaryCurrency, shareLink, companyOpenJobs, branding, advertiser details, and raw passthrough blocks (advertiserRaw, employerRaw, companyProfileRaw) so no upstream field is ever dropped.

How to use

1. Basic search (Malaysia)

{
"country":"MY",
"keywords":"software engineer",
"location":"Kuala Lumpur",
"maxItems":50
}

2. Search with filters (Singapore, ICT, full time, salary range)

{
"country":"SG",
"keywords":"data engineer",
"classification":["6281"],
"workType":["242"],
"salaryMin":5000,
"salaryMax":12000,
"salaryType":"monthly",
"daterange":14,
"sortmode":"ListedDate",
"maxItems":100,
"includeFullDescription":true
}

3. Multiple countries via URL mode

{
"urls":[
"https://my.jobstreet.com/it-jobs/in-Penang",
"https://sg.jobstreet.com/jobs-in-information-communication-technology",
"https://ph.jobstreet.com/accountant-jobs",
"https://id.jobstreet.com/marketing-jobs/in-Jakarta-Raya"
],
"maxItems":200,
"includeFullDescription":false
}

In URL mode, the filter fields in Option 1 are ignored. Each URL's host sets the country, and its path and query string set the filters. You can mix all four country sites in one run.

4. Recent jobs only, sorted by date

{
"country":"ID",
"keywords":"marketing",
"daterange":7,
"sortmode":"ListedDate",
"maxItems":30
}

Input parameters

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape — the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record — not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Output example

Sample shape, values are illustrative placeholders, not from a live listing.

{
"id":"00000001",
"url":"https://my.jobstreet.com/job/00000001",
"applyLink":"https://my.jobstreet.com/job/00000001/apply",
"title":"Software Engineer",
"teaser":"Join a growing team building cloud services.",
"companyName":"Sample Company Sdn Bhd",
"companyId":"00000000",
"companyOverview":"Sample Company is a leading provider of cloud services in the region.",
"advertiserName":"Sample Company Sdn Bhd",
"locationLabel":"Kuala Lumpur",
"locationSeoHierarchy":["Kuala Lumpur","Wilayah Persekutuan"],
"countryCode":"MY",
"classificationInfo":{
"classification":"Information & Communication Technology",
"subClassification":"Developers/Programmers"
},
"workTypes":["Full time"],
"salaryLabel":"RM 5,000 to RM 8,000 per month",
"content":"<p>Full job description HTML appears here when includeFullDescription=true.</p>",
"contentText":"Full job description plain text appears here.",
"bulletPoints":["Competitive salary","Hybrid work","Career growth"],
"phoneNumbers":["+60100000000"],
"emails":["careers@example.com"],
"listingDate":"2026-01-01T00:00:00Z",
"listingDateDisplay":"2d ago",
"expiresAt":"2026-02-01T00:00:00Z",
"isVerified":true,
"scrapedAt":"2026-01-01T00:00:00.000Z"
}

Plan requirement and proxy

The actor defaults to Apify datacenter proxy, which is included on the free plan, and JobStreet serves its public data fine through it. If your account cannot reach datacenter proxy, the actor automatically falls back to a backup pool, then to a direct connection, so a run never fails just because of proxy access.

For heavy or production workloads, residential proxy gives more rotation and reliability. Set proxyConfiguration.apifyProxyGroups to ["RESIDENTIAL"] (available on Apify paid plans) and optionally pin the country with apifyProxyCountry to match the market you are scraping.