Pricing
$25.00/month + usage
This LinkedIn Jobs scraper efficiently gathers detailed information about job vacancies on LinkedIn based on your specified criteria. Easily configure filters to match LinkedIn's search capabilities, ensuring precise and comprehensive selection of relevant job listings.
0.0 (0)
Pricing
$25.00/month + usage
6
293
39
Issues response
22 hours
Last modified
a month ago
You can access the ⚡️ Linkedin Jobs Scraper 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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Set 0 if you want to scrape all records", "default": 50 }, "sort_by": { "title": "Sort by", "enum": [ "DD", "R" ], "type": "string", "description": "Select the required sorting settings for you, 'Most recent' or 'Most relevant'", "default": "R" }, "date_posted": { "title": "Date posted", "enum": [ "", "r2592000", "r604800", "r86400" ], "type": "string", "description": "Select date posted (for example: 'Past week')", "default": "" }, "experience_level": { "title": "Experience level", "type": "array", "description": "Set the Experience level settings, you can select several values (for example: [Internship, Associate])", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5", "6" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] }, "default": [] }, "job_type": { "title": "Job Type", "type": "array", "description": "Set the Job Type settings, you can select several values (for example: [Full-time, Temporary])", "items": { "type": "string", "enum": [ "F", "P", "C", "T", "I" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship" ] }, "default": [] }, "remote_type": { "title": "Remote/On-site", "type": "array", "description": "Remote work settings (for example: [Remote, Hybrid])", "items": { "type": "string", "enum": [ "1", "2", "3" ], "enumTitles": [ "On-Site", "Remote", "Hybrid" ] }, "default": [] }, "industry": { "title": "Industry", "type": "array", "description": "Set the Industry settings, you can select several values (for example: [Software Development, Financial Services])", "items": { "type": "string", "enum": [ "41", "96", "137", "11", "4", "43", "104", "1810", "6", "84", "80" ], "enumTitles": [ "Banking", "IT Services and IT Consulting", "Human Resources Services", "Business Consulting and Services", "Software Development", "Financial Services", "Staffing and Recruiting", "Professional Services", "Technology, Information and Internet", "Information Services", "Advertising Services" ] }, "default": [] }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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", 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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 ⚡️ Linkedin Jobs Scraper from the options below:
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