🔥LinkedIn Job Scraper

Pricing

Pay per usage

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🔥LinkedIn Job Scraper

Try for free

A lightweight and easy-to-use actor for scraping LinkedIn job listings. It focuses on simplicity, providing a clean dataset with a minimal set of columns: Job Title, Company, Location, and Job URL. Perfect for users who need essential job data without the complexity.

Pricing

Pay per usage

Rating

5.0

(3)

Developer

Shahid Irfan

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

Categories

Jobs

Developer tools

Automation

You can access the 🔥LinkedIn Job 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "title": "Search query",
            "type": "string",
            "description": "Job title or keywords to search on LinkedIn Jobs.",
            "default": "Software Engineer"
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Geographic location (e.g., United States, Germany, Remote).",
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          "timeRange": {
            "title": "Posted time filter",
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              "24h",
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            "type": "string",
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          "maxJobs": {
            "title": "Max jobs",
            "minimum": 1,
            "type": "integer",
            "description": "Maximum number of jobs to collect.",
            "default": 150
          },
          "collectOnly": {
            "title": "Collect only (no details)",
            "type": "boolean",
            "description": "Collect job URLs only and push minimal items (fast sanity mode).",
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            "title": "Max concurrency",
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            "maximum": 20,
            "type": "integer",
            "description": "Parallel HTTP requests (CheerioCrawler).",
            "default": 5
          },
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            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used by the crawler (Apify Proxy recommended; RESIDENTIAL helps)."
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🔥LinkedIn Job 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 Job Scraper from the options below:

OpenAPI.json

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:

🔥LinkedIn Job Scraper API in Python

🔥LinkedIn Job Scraper API in JavaScript

🔥LinkedIn Job Scraper API through CLI

🔥LinkedIn Job Scraper API

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