JobStreet Scraper — MY, SG, ID & PH Job Listings
Pricing
from $2.00 / 1,000 results
Scrape jobstreet.com across Malaysia, Singapore, Indonesia, and Philippines. Salary data, employer profiles, and multi-geo search filters.
You can access the JobStreet Scraper — MY, SG, ID & PH Job Listings programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Use JSON array for multi-query." }, "country": { "title": "Country", "enum": [ "MY", "SG", "ID", "PH" ], "type": "string", "description": "Which JobStreet market to search.", "default": "MY" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region. Use JSON array for multi-location." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct search or job detail URLs.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum total job listings to return (0 = unlimited).", "default": 25 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum SERP pages to scrape per search source.", "default": 5 }, "sortMode": { "title": "Sort Mode", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort results by relevance or date." }, "dateRange": { "title": "Date Range", "type": "string", "description": "Filter jobs posted within a time range (e.g. '1', '3', '7', '14', '31')." }, "workType": { "title": "Work Type", "type": "string", "description": "Filter by work type code (e.g. '242' for Full Time on JobStreet)." }, "workArrangement": { "title": "Work Arrangement", "type": "string", "description": "Filter by work arrangement code (e.g. '2' for Remote)." }, "classification": { "title": "Classification", "type": "string", "description": "Filter by job classification/category code (e.g. '6281' for IT)." }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Filter jobs with salary at or above this amount (local currency)." }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Filter jobs with salary at or below this amount (local currency)." }, "salaryType": { "title": "Salary Type", "type": "string", "description": "Filter by salary type (e.g. 'monthly', 'annual')." }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Fetch each job's detail page for full description, salary data, and company info.", "default": true }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to this many characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Output only core fields (for AI-agent/MCP workflows).", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Compare against previous run state. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the tracked search universe (e.g. \"my-software-kl\")." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit records that haven't changed.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "When incremental, also emit records no longer found.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for JobStreet Scraper — MY, SG, ID & PH Job Listings from the options below:
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