LinkedIn Job Scraper

This Apify actor collects job listing URLs from LinkedIn based on search criteria. It outputs clean, deduplicated links for further processing in your automation or data pipelines.

Overview

The scraper constructs a LinkedIn Jobs search using your provided keywords and location, then extracts the resulting job URLs. It's designed to be a first step in a workflow, gathering links that can be passed to another tool for detailed scraping (like job descriptions or company info).

Results are saved to an Apify dataset when run on the Apify platform, or to a local jobs.csv file when run in your own environment.

Key Features

• Targeted Search: Finds jobs based on keywords, location, and optional skills.
• Deduplicated Output: Automatically removes duplicate job links from the results.
• Flexible Output: Saves data to an Apify dataset or a local CSV file.
• Simple Data Structure: Focuses on collecting job URLs for easy integration into larger workflows.

How to Use

Running on Apify

1. Add the actor to your Apify console.
2. Configure the input parameters as shown below and start the run.

Running Locally

Clone or set up the actor in your local environment, provide the input configuration, and execute it. A jobs.csv file will be created in your working directory.

Input & Output

Input Configuration (JSON):

{
  "keywords": "Data Scientist",
  "location": "USA",
  "maxJobs": 20,
  "skills": "Python, SQL"
}

• keywords (Required): The job title or search terms.
• location (Required): The geographic location for the job search.
• maxJobs: The maximum number of job links to collect.
• skills: A comma-separated string of skills to filter the search (optional).

Output Data:
The actor outputs a list of objects, each containing:
* url: The direct URL to the LinkedIn job posting.

This list is stored in the default Apify dataset during a platform run, or written to jobs.csv locally.