LinkedIn Public Job Scraper

Extract rich, detailed job postings from LinkedIn without needing to log in. This stealthy, Python-based scraper bypasses LinkedIn's strict anti-bot protections using residential proxy rotation and human-like delays, ensuring your data extraction runs smoothly and reliably.

🚀 What can this Actor do?

This scraper allows you to search for jobs on LinkedIn just like a human would, and extracts both the high-level search results and the deep details from individual job posting pages.

• No login required: Scrapes the public-facing jobs portal to eliminate the risk of your personal LinkedIn account getting banned.
• Deep data extraction: It doesn't just scrape the search page. It visits every single job link to pull specific criteria like Seniority Level, Employment Type, and Industry.
• Built for stealth: Automatically utilizes Apify Residential Proxies and randomizes request delays to mimic natural human browsing and avoid IP bans.
• Time-based filtering: Filter jobs posted in the past 24 hours, the past week, or the past month.

💼 Use Cases

• Recruitment & HR: Monitor competitor hiring trends or find open roles in your industry.
• Market Research: Analyze the demand for specific skills and job functions across different cities or countries.
• Job Boards & Aggregators: Populate your own platform with fresh, highly-detailed job listings.

💰 Pricing

This Actor uses Apify's Pay-per-Event pricing model. You only pay for successful data extraction, making it highly cost-effective and predictable.

• Start Event: $0.00005 per run (Essentially free to start).
• Per Result: $20.00 per 1,000 results (Just $0.02 per successfully extracted job).

Pro Tip: You can set a Max Charge Limit in the Apify console before starting your run. The Actor will automatically stop scraping once it hits your defined budget!

⚙️ Input Configuration

The Actor is designed to be simple to use. Here are the parameters you can configure:

Field	Description	Example
Job Title or Keywords	The specific role or skills you are looking for.	Software Engineer, Data Analyst
Location	The geographic location. Can be a city, country, or "Remote".	London, United States, Remote
Date Posted	Filter by when the job was published. Options are: Any time, Past 24 hours, Past week, Past month.	Past 24 hours

Note: Because this scraper uses LinkedIn's public endpoint to keep you safe from login bans, custom date ranges (like "last 12 hours") are not supported by LinkedIn. Please use the exact options provided in the input dropdown.

📊 Output Format

The Actor pushes the extracted data into the Apify default dataset. You can download the results in JSON, CSV, Excel, or HTML.

Here is an example of a single extracted job item in JSON format:

{
  "title": "Software Engineer, Backend",
  "company": "DoorDash",
  "location": "London, England, United Kingdom",
  "time_published": "2 hours ago",
  "url": "[https://www.linkedin.com/jobs/view/software-engineer-backend-at-doordash-1234567890](https://www.linkedin.com/jobs/view/software-engineer-backend-at-doordash-1234567890)",
  "experience_level": "Mid-Senior level",
  "employment_type": "Full-time",
  "job_function": "Engineering and Information Technology",
  "industry": "Software Development"
}