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Premium Linkedin Jobs Scraper

Pricing

$15.00/month + usage

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Premium Linkedin Jobs Scraper

Premium Linkedin Jobs Scraper

Developed by

Sadnan

Sadnan

Maintained by Community

A powerful and super fast LinkedIn jobs scraper. Extract 30+ fields like job title, salary, applicants, company and descriptions. Uses HTTPS requests, not a browser faster and safer scraping. Just add a search URL and your LinkedIn cookies. Fast, smooth scraping - get LinkedIn data in seconds.

0.0 (0)

Pricing

$15.00/month + usage

1

Total users

1

Monthly users

1

Last modified

3 days ago

You can access the Premium 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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"components": {
"schemas": {
"inputSchema": {
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"required": [
"baseUrl",
"cookies"
],
"properties": {
"baseUrl": {
"title": "LinkedIn Jobs Search URL",
"type": "string",
"description": "How to get the LinkedIn Jobs Search URL:\n1. Go to https://www.linkedin.com/jobs/\n2. Search for any role and location (e.g., 'Software Engineer in New York')\n3. Copy the entire URL from the address bar\nExample: https://linkedin.com/jobs/search/?geoId=103363366&keywords=developer"
},
"cookies": {
"title": "LinkedIn Auth Cookies",
"type": "array",
"description": "How to export LinkedIn cookies:\n1. Install the Cookie-Editor extension (https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm)\n2. Log in to your LinkedIn account\n3. Click the Cookie-Editor icon in your browser\n4. Click 'Export' and copy the full JSON cookie array\n5. Paste it here"
},
"scrapeCompanyData": {
"title": "Scrape Company Data",
"type": "boolean",
"description": "If enabled, the scraper will extract extra company details like phone number, website, industry, and employee count.",
"default": false
},
"highDelay": {
"title": "Set Higher Delay For Scraping",
"type": "boolean",
"description": "If enabled, the scraper will extract data slower but it can help preserve the linkedin account from being flagged.",
"default": false
},
"maxResults": {
"title": "Max Results",
"type": "integer",
"description": "The maximum number of job listings to scrape.",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for the scraper"
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}
},
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"actId": {
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"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"
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"userAgent": {
"type": "string"
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"stats": {
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"properties": {
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"example": 2000
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"rebootCount": {
"type": "integer",
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"restartCount": {
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"computeUnits": {
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"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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"buildId": {
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
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"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
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"type": "integer",
"example": 0
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"type": "integer",
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},
"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",
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"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
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"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",
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"REQUEST_QUEUE_READS": {
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"REQUEST_QUEUE_WRITES": {
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"DATA_TRANSFER_INTERNAL_GBYTES": {
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},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
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},
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Premium Linkedin Jobs Scraper OpenAPI definition

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 Premium Linkedin Jobs Scraper from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: