JobStreet Scraper — MY, SG, ID & PH Job Listings

What does JobStreet Scraper do?

JobStreet Scraper extracts structured job data from jobstreet.com — including salary data, contact details, company metadata, and full descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from jobstreet.com?

Each result includes Core listing fields (jobId, seekJobId, title, canonicalUrl, advertiserId, location, locationCountry, and locationState, and more), detail fields when enrichment is enabled (roleId, description, descriptionHtml, descriptionLength, and detailFetched), contact and apply information (applyUrl and extractedEmails), and company metadata (company, companyUrl, companyIndustry, and companySize). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query.
• country — Which JobStreet market to search. (default: "MY")
• location — City, state, or region. Use JSON array for multi-location.
• startUrls — Direct search or job detail URLs.
• maxResults — Maximum total job listings to return (0 = unlimited). (default: 25)
• maxPages — Maximum SERP pages to scrape per search source. (default: 5)
• sortMode — Sort results by relevance or date.
• dateRange — Filter jobs posted within a time range (e.g. '1', '3', '7', '14', '31').
• workType — Filter by work type code (e.g. '242' for Full Time on JobStreet).
• workArrangement — Filter by work arrangement code (e.g. '2' for Remote).
• includeDetails — Fetch each job's detail page for full description, salary data, and company info. (default: true)
• descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
• ...and 5 more parameters

Input example

{
  "query": "software engineer",
  "country": "MY",
  "maxResults": 5,
  "maxPages": 5,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "f71c500f1d184ae0c6db8f4f3b1c30224710c26302145a6f3bec78197c7a6f97",
  "seekJobId": "90943964",
  "title": "Graduate Software Engineer / Developer",
  "canonicalUrl": "https://my.jobstreet.com/job/90943964",
  "company": "FootfallCam",
  "companyUrl": null,
  "advertiserId": "60174934",
  "location": "Kuala Lumpur, Malaysia",
  "locationCountry": "MY",
  "locationState": "Kuala Lumpur",
  "locationSuburb": null,
  "locationPostcode": null,
  "salaryText": "RM 3,800 – RM 5,700 per month",
  "salaryMin": 3800,
  "salaryMax": 5700,
  "salaryCurrency": "MYR",
  "salaryType": "MONTH",
  "employmentType": "Full time",
  "workArrangement": "onsite",
  "category": "Information & Communication Technology",
  "subCategory": "Engineering - Software",
  "roleId": "software-engineer",
  "teaser": "Get the fundamental right, keep the standard high, creating world class products and solutions.",
  "bulletPoints": [
    "Great career development for aspiring software developer",
    "Top remuneration for suitable candidate",
    "To be part of the team, creating world class software product"
  ],
  "description": "This is for people that are passionate in programming, that wanted to build a career in hardcore programming, optimizing bit by bit. You will have opportunities to learn different programming language...",
  "descriptionHtml": "<p>This is for people that are passionate in programming, that wanted to build a career in hardcore programming, optimizing bit by bit. You will have opportunities to learn different programming langu...",
  "descriptionLength": 2676,
  "contentQuality": "full",
  "companyIndustry": "Computer Software & Networking",
  "companySize": "51-100 employees",
  "companyWebsite": "https://www.footfallcam.com/",
  "applyUrl": "https://www.seek.com.au/job/90943964?tracking=SHR-WEB-SharedJob-anz-1",
  "postedDate": "2026-03-15T08:46:56.544Z",
  "validThrough": "2026-04-14T13:59:59.999Z",
  "isSponsored": false,
  "sourceUrl": "https://my.jobstreet.com/job/90943964",
  "sourceCountry": "MY",
  "sourceDomain": "my.jobstreet.com",
  "searchQuery": "software engineer",
  "searchUrl": "https://www.seek.com.au/jobs?keywords=software+engineer&where=Malaysia",
  "scrapedAt": "2026-03-28T19:59:53.270Z",
  "fetchedAt": "2026-03-28T19:59:53.270Z",
  "detailFetched": true,
  "extractedEmails": []
}

How to scrape jobstreet.com

1. Go to JobStreet Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from jobstreet.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape jobstreet.com?

JobStreet Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from jobstreet.com?

The number of results depends on the search query and available listings on jobstreet.com. Use the maxResults parameter to control how many results are returned per run.

Does JobStreet Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate JobStreet Scraper with other apps?

Yes. JobStreet Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use JobStreet Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use JobStreet Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape jobstreet.com?

This actor extracts publicly available data from jobstreet.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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