⚑️ Linkedin Jobs Scraper πŸ”₯ avatar
⚑️ Linkedin Jobs Scraper πŸ”₯

Pricing

$20.00/month + usage

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⚑️ Linkedin Jobs Scraper πŸ”₯

⚑️ Linkedin Jobs Scraper πŸ”₯

Developed by

Oza Dev

Oza Dev

Maintained by Community

LinkedIn Job Scraper is a powerful and reliable automation tool Designed to extract job listings directly from LinkedIn Jobs using advanced search logic and filters. It helps recruiters, job boards, analysts, and HR professionals gather high-quality job data at scale β€” with over 98% success rate

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

3

Monthly users

3

Runs succeeded

>99%

Last modified

6 days ago

You can access the ⚑️ Linkedin Jobs Scraper πŸ”₯ 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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"title": {
"title": "Job title",
"type": "string",
"description": "The name of the job (e.g. Web developer).",
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"location": {
"title": "Job location",
"type": "string",
"description": "The location of the job (e.g. Paris, New York).",
"default": "United States"
},
"companyName": {
"title": "Company name",
"type": "string",
"description": "The name(s) of the company(ies) (e.g. Google, NASA). Comma-separated if multiple.",
"default": ""
},
"companyId": {
"title": "Company id",
"type": "string",
"description": "The ID(s) of the company(ies) (e.g. Facebook: 76987811, Uber: 1815218). Provide only the id numbers, comma-separated if multiple.",
"default": ""
},
"publishedAt": {
"title": "Published at",
"enum": [
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"type": "string",
"description": "Select work type to display",
"default": ""
},
"rows": {
"title": "Total rows",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of job results to extract (e.g. 100)",
"default": 50
},
"maxRequests": {
"title": "Maximum requests",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Maximum number of HTTP requests to make for pagination (each request gets ~25 jobs)",
"default": 10
},
"extractDescriptions": {
"title": "Extract job descriptions",
"type": "boolean",
"description": "Whether to extract full job descriptions (slower but more detailed)",
"default": false
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"workType": {
"title": "On-site/Remote",
"enum": [
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"C",
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"type": "string",
"description": "Select job type to display",
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"experienceLevel": {
"title": "Experience Level",
"enum": [
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"2",
"3",
"4",
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"type": "string",
"description": "Select the experience levels to be displayed",
"default": ""
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"proxy": {
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"type": "object",
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"apifyProxyGroups": [
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"options": {
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}

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 ⚑️ Linkedin Jobs Scraper πŸ”₯ 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: