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LinkedIn Jobs Scraper

Leverage Grepsr's LinkedIn Jobs data extraction service to access listings, salaries, company reviews, availability, and job metadata from profile pages, search results, and company directories. Benefit from real-time delivery, structured output, and scalability with no coding required.

LinkedIn Jobs Scraper Use Cases

Talent Acquisition Trends

Identify emerging skills and job requirements by analyzing job postings, aiding in strategic talent recruitment.

Competitive Hiring Strategies

Understand competitor hiring patterns and position demands to refine your company's talent acquisition approach.

Industry Growth Analysis

Track job posting frequencies across industries to assess growth trends and allocate resources effectively.

Salary Benchmarking

Extract salary data from job listings to establish competitive compensation packages and attract top talent.

Sample Dataset

Sample Data

[
  {
    "job_title": "Software Engineer",
    "company": "Google",
    "location": "Mountain View",
    "job_id": 300001,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 130000,
    "posted_date": "2025-10-01",
    "remote": true,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300001"
  },
  {
    "job_title": "Data Scientist",
    "company": "Amazon",
    "location": "Seattle",
    "job_id": 300002,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 125000,
    "posted_date": "2025-09-28",
    "remote": true,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300002"
  },
  {
    "job_title": "Marketing Manager",
    "company": "Procter & Gamble",
    "location": "Cincinnati",
    "job_id": 300003,
    "employment_type": "Full-time",
    "experience_level": "Senior",
    "salary_usd_year": 95000,
    "posted_date": "2025-10-03",
    "remote": false,
    "industry": "Consumer Goods",
    "job_url": "https://linkedin.com/jobs/300003"
  },
  {
    "job_title": "UX Designer",
    "company": "Microsoft",
    "location": "Redmond",
    "job_id": 300004,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 115000,
    "posted_date": "2025-09-30",
    "remote": true,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300004"
  },
  {
    "job_title": "Financial Analyst",
    "company": "JPMorgan Chase",
    "location": "New York",
    "job_id": 300005,
    "employment_type": "Full-time",
    "experience_level": "Entry-level",
    "salary_usd_year": 80000,
    "posted_date": "2025-10-02",
    "remote": false,
    "industry": "Finance",
    "job_url": "https://linkedin.com/jobs/300005"
  },
  {
    "job_title": "Product Manager",
    "company": "Apple",
    "location": "Cupertino",
    "job_id": 300006,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 140000,
    "posted_date": "2025-09-29",
    "remote": false,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300006"
  },
  {
    "job_title": "HR Specialist",
    "company": "Salesforce",
    "location": "San Francisco",
    "job_id": 300007,
    "employment_type": "Full-time",
    "experience_level": "Entry-level",
    "salary_usd_year": 75000,
    "posted_date": "2025-10-01",
    "remote": true,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300007"
  },
  {
    "job_title": "Business Analyst",
    "company": "Deloitte",
    "location": "Chicago",
    "job_id": 300008,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 90000,
    "posted_date": "2025-10-03",
    "remote": false,
    "industry": "Consulting",
    "job_url": "https://linkedin.com/jobs/300008"
  },
  {
    "job_title": "Front-End Developer",
    "company": "Shopify",
    "location": "Remote",
    "job_id": 300009,
    "employment_type": "Full-time",
    "experience_level": "Mid-level",
    "salary_usd_year": 110000,
    "posted_date": "2025-09-27",
    "remote": true,
    "industry": "Technology",
    "job_url": "https://linkedin.com/jobs/300009"
  },
  {
    "job_title": "Operations Manager",
    "company": "FedEx",
    "location": "Memphis",
    "job_id": 300010,
    "employment_type": "Full-time",
    "experience_level": "Senior",
    "salary_usd_year": 95000,
    "posted_date": "2025-10-02",
    "remote": false,
    "industry": "Logistics",
    "job_url": "https://linkedin.com/jobs/300010"
  }
]

No CSV found.

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Most inquired questions

What types of data can Grepsr extract from LinkedIn Jobs?

Grepsr can extract various data points from LinkedIn Jobs, including job titles, company names, locations, job descriptions, and posting dates, all organized for your analysis needs.

How often can I schedule data extraction from LinkedIn Jobs?

You can schedule data extraction at a frequency that fits your needs, whether that’s daily, weekly, or monthly, ensuring you have the most current job postings data.

Is the data extracted from LinkedIn Jobs accurate and up-to-date?

Yes, Grepsr ensures high accuracy by extracting real-time data directly from LinkedIn Jobs, providing you with fresh and reliable insights.

How can I use the data extracted from LinkedIn Jobs for my business?

The extracted data can help identify industry hiring trends, monitor competitors’ hiring activities, and align your recruitment strategy with market demands.

Can Grepsr customize the data extraction to my specific requirements?

Yes, Grepsr can tailor the extraction process to meet your specific data needs, whether you require data from particular industries or specific job roles.

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