LinkedIn Jobs Scraper

Overview

This actor scrapes public job listings from LinkedIn without requiring login credentials or cookies. It extracts structured data for analysis, automation, or integration into other systems.

Key Features

• No Authentication Needed: Works with publicly available listings.
• Structured Data Output: Returns clean, standardized JSON.
• Optimized for LinkedIn: Specifically built for LinkedIn's job data structure.
• Efficient Operation: Uses smart User-Agent rotation and is designed to minimize compute usage.
• Apify Integration: Works natively with Apify features like Dataset, KV Store, API, and webhooks.

Common Use Cases:
* Market and competitive analysis (hiring trends, role demand).
* Feeding job data into HR/recruitment tools (CRMs, ATS).
* Academic or data research on employment patterns.
* Personal career exploration.

How to Use

You can run the scraper via the Apify Console or programmatically via API.

Via Apify Console

1. Open the actor in your Apify Dashboard.
2. Configure your input (search term and location are required).
3. Click Save & Start.
4. View and download results from the Dataset tab after completion.

Via API

Start a run with an HTTP request:

curl "https://api.apify.com/v2/acts/username~linkedin-jobs-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -d '{
    "search_term": "Frontend Developer",
    "location": "Madrid, Spain",
    "distance": 30
  }'

Input Configuration

Configure the scraper using the following input fields in JSON format.

Example Input:

{
  "search_term": "Software Engineer",
  "location": "Barcelona, Spain",
  "distance": 50,
  "results_wanted": 100,
  "job_type": "fulltime",
  "is_remote": false,
  "linkedin_company_ids": [76987811, 1815218],
  "easy_apply": false,
  "published_at": "72",
  "fetch_description": true
}

Input Fields Reference:

Note: The easy_apply and published_at filters cannot be used simultaneously.

Output

The actor outputs a dataset of job objects. Each item typically includes:
* Job title and URL
* Company name and LinkedIn ID
* Location and remote availability
* Job description
* Compensation details (if available)
* Date posted
* Job type, function, level, and industry
* Direct application link

Results are stored in the Apify Dataset for the run and can be downloaded in JSON, CSV, or other formats.