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Premium Linkedin Jobs Scraper

Under maintenance

Pricing

$15.99/month + usage

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Premium Linkedin Jobs Scraper

Premium Linkedin Jobs Scraper

Under maintenance

Developed by

Sadnan

Sadnan

Maintained by Community

A powerful LinkedIn jobs scraper. Extract 20+ fields like job title, salary, applicants, and full descriptions. Just add a search URL and your LinkedIn cookies. It auto-scrolls, avoids blocks, and gives clean, structured job and company data—fast and easy.

0.0 (0)

Pricing

$15.99/month + usage

0

Total users

1

Monthly users

1

Last modified

a day ago

The Premium LinkedIn Jobs Scraper is a high-performance Apify actor designed to extract detailed job listings from LinkedIn with surgical precision. Unlike basic scrapers, this tool:

✅ Authenticates via cookies to bypass login walls
✅ Scrolls and paginates automatically to collect all results
✅ Extracts 20+ data points per job (salaries, applicants, descriptions, etc.)
✅ Uses anti-detection techniques to avoid blocks

Perfect for recruiters, HR teams, and job market analysts who need structured, reliable LinkedIn data without manual work.


Inputs

1. Base URL (Required)

How to Get Your LinkedIn Jobs Search URL:

  1. Go to LinkedIn Jobs
  2. Search for your desired role/location
  3. Copy the full URL from your browser’s address bar
    • Example:
      https://www.linkedin.com/jobs/search/?keywords=Marketing&location=London

2. Cookies (Required for Authorization)

Steps to Export LinkedIn Cookies:

  1. Install Cookie-Editor
  2. Log in to LinkedIn
  3. Use the extension to export your cookies
  4. Paste the JSON array into the input field

3. Scrape Company Data (Optional)

✅ Enable this option to extract additional company data:

  • Company website and phone number
  • Employee count and industry
  • Headquarters location
  • Company specialties and insights

Features

✅ Comprehensive Data Extraction

  • Job titles, companies, locations
  • Salaries, applicant counts, posting dates
  • Employment types and full job descriptions
  • Company insights including employee count, websites, and industry data

✅ Anti-Block Technology

  • Stealth scraping to avoid detection
  • Automatic scroll and pagination
  • Timing and delay logic to mimic human behavior

✅ Flexible Output

  • JSON and CSV formats available
  • Clean, structured, and ready for analysis

Output

✅ The scraper returns a rich, structured JSON object for each job posting. Each object contains over 20 fields capturing job and company information.

This includes job title, company name, location, description, employment type, application count, salary (if available), and detailed company insights such as industry, size, website, and more.

Example Output

1{
2    "companyName": "Example Company, Inc.",
3    "companyLogo": "https://media.licdn.com/path/to/company-logo.png",
4    "companyLink": "https://www.linkedin.com/company/example-company",
5    "jobTitle": "Senior Backend Developer (Remote)",
6    "location": "San Francisco, CA",
7    "posted": "2 weeks ago",
8    "applicants": "Over 50 applicants",
9    "salary": "Not Found",
10    "employmentType": "Full-time",
11    "skillMatch": "Not Found",
12    "jobDescription": "Detailed job description including responsibilities, qualifications, and desired experience...",
13    "link": "https://www.linkedin.com/jobs/view/1234567890/",
14    "summary": "Innovative. Fast-growing. Transparent – A leading tech startup revolutionizing AI workflows.",
15    "insights": "Software Development, San Francisco, California, 10K followers, 201-500 employees",
16    "insights2": "Not Found",
17    "employeeCount": "201-500 employees",
18    "overviewDetails": [
19        {
20            "website": "https://examplecompany.com"
21        },
22        {
23            "phone": "tel:(123) 456-7890"
24        },
25        {
26            "industry": "Software Development"
27        },
28        {
29            "company-size": "201-500 employees"
30        },
31        {
32            "headquarters": "https://www.linkedin.com/search/results/people/?currentCompany=%5B%2212345678%22%5D"
33        },
34        {
35            "specialties": "Artificial Intelligence, Machine Learning, SaaS"
36        }
37    ]
38}

Save time, skip manual work, and get the LinkedIn data you need — fast and reliably.