LinkedIn Jobs Scraper

Extract structured job listings from LinkedIn Jobs search results. Use it for building job boards, market analysis, or recruitment lead generation.

Overview

This actor scrapes LinkedIn Jobs, aggregating listings from thousands of job boards through a single search. It outputs clean, structured data (JSON, CSV, Excel, XML) ready for integration.

Key Features

• Multi-source aggregation: Pulls jobs from various boards via LinkedIn search.
• Precise filtering: Filter by company, location, job type (Full-time, Contract, etc.), and posting date.
• Performance optimized: Runs quickly with low compute usage.
• Fresh data: Target recent posts ("Today", "3days", "week").
• API-ready: Integrates with Python, Node.js, Zapier, and Make.com.

Input Parameters

Configure the scraper using these JSON input parameters.

Example Input:

{
  "countryName": "usa",
  "locationName": "new york",
  "includeKeyword": "software engineer, python",
  "companyName": "linkedin",
  "jobType": "FULLTIME",
  "datePosted": "week",
  "pagesToFetch": 3
}

Output Data

Results are saved to an Apify dataset. Each job listing includes these fields:

• job_title: The role's official title.
• company_name: The hiring organization.
• location: Job location or "Remote" status.
• posted_via: Original source platform (e.g., Monster, Greenhouse).
• salary: Provided pay range.
• date: Posting date.
• job_type: Employment type.
• URL: Direct link to the listing.

Sample JSON Output:

[
  {
    "job_title": "Senior Frontend Developer",
    "company_name": "Tech Corp Inc.",
    "location": "New York, NY (Remote)",
    "posted_via": "LinkedIn",
    "salary": "$120,000 - $150,000 a year",
    "date": "2025-03-25",
    "job_type": "Full-time",
    "URL": "https://www.linkedin.com/search?..."
  }
]

How to Use

1. Run on Apify: Deploy and run the actor directly from the Apify platform or store.
2. Automate: Schedule periodic runs to keep data current.
3. Export: Download data in your preferred format or connect it to a CRM, website, or analytics tool via the API.

Programmatic Usage

Run the actor using the Apify API client.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "countryName": "usa",
    "includeKeyword": "Data Scientist",
    "datePosted": "3days",
    "pagesToFetch": 1,
}
run = client.actor("actor-id").call(run_input=run_input)