🚀 LinkedIn Job Details Scraper

A high-speed LinkedIn job data extraction engine deployed as an Apify Actor.

Extract AI-ready job intelligence from any public LinkedIn job URL — instantly, at scale, with no setup required.

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👨‍💻 About the Developer

Hi, I'm YKA_6789 — a Data Scientist and Freelance Developer specializing in Web Scraping, AI/ML Solutions, and Apify Actor Development.

I build automation and data products that are production-ready, scalable, and designed to plug directly into real business workflows. This Actor is one of several tools I've built to help teams extract structured intelligence from the web — without the overhead of maintaining scrapers in-house.

📩 For custom integrations, bulk data needs, or freelance projects — reach me at yash2492727@gmail.com

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🧠 Overview

The LinkedIn Jobs Scraper is designed for:

• Job Aggregation Platforms
• Applicant Tracking Systems (ATS)
• Recruitment & HR Analytics
• Market Intelligence Platforms
• Resume–Job Matching AI Systems

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✨ Features

Feature	Description
🔍 Job Identity Extraction	Job ID, title, company name, company LinkedIn URL, location
⏱️ Posted Date & Popularity	Posted time text, ISO date, applicant count
🧑‍💻 Employment Metadata	Employment type, workplace type, seniority (when available)
🧠 AI-Ready Job Parsing	Clean job description, experience, education, skills, certifications
💰 Salary Detection	Salary range (when publicly available)
🏢 Company Intelligence	Logo URL, industry, employee range (best-effort)
📝 Application Intelligence	Easy Apply vs External Apply detection, poster info
📦 Structured JSON Output	Ready for analytics, ATS & AI pipelines
🌍 Apify Cloud Ready	One-click cloud deployment

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✅ Data Coverage

1. Core Job Identity

• job_posting_id
• job_url
• job_title
• company_name
• company_linkedin_url
• job_location
• country_code

2. Job Timing & Popularity

• job_posted_text
• job_posted_date
• job_num_applicants
• promoted_by_hirer (boolean)
• actively_hiring (boolean)

3. Employment Metadata (When Available)

• job_employment_type
• workplace_type
• job_seniority_level
• job_function
• job_industries

4. Job Description Intelligence

• Full clean job description
• experience_years_min
• experience_years_max
• education_level
• skills
• certifications

5. Compensation (When Available)

• job_base_pay_range

6. Company Intelligence (Best-Effort)

• company_logo_url
• num_of_employees
• company_website (when listed)

7. Application Intelligence

• apply_method (Easy Apply / External Apply)
• apply_link
• easy_apply_enabled
• job_poster_name
• job_poster_title
• job_poster_linkedin_profile

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▶️ Input Format

{
  "startUrls": [
    { "url": "https://www.linkedin.com/jobs/view/4319924354/" },
    { "url": "https://www.linkedin.com/jobs/view/4360563087/" }
  ]
}

You can pass a single URL or hundreds — the Actor handles batching and concurrency automatically.

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📤 Sample Output

{
  "scrape_status": "success",
  "job_posting_id": "4319924354",
  "job_url": "https://www.linkedin.com/jobs/view/4319924354/",
  "job_title": "Senior Data Engineer",
  "company_name": "Acme Corp",
  "company_linkedin_url": "https://www.linkedin.com/company/acme-corp/",
  "job_location": "San Francisco, CA",
  "country_code": "US",
  "job_employment_type": "Full-time",
  "workplace_type": "Hybrid",
  "job_seniority_level": "Mid-Senior level",
  "job_posted_date": "2025-03-14T10:00:00",
  "job_num_applicants": "47 applicants",
  "actively_hiring": true,
  "easy_apply_enabled": true,
  "apply_method": "Easy Apply",
  "experience_years_min": 3,
  "experience_years_max": 6,
  "education_level": ["Bachelor's", "Master's"],
  "skills": ["Python", "SQL", "Spark", "AWS", "Kafka"],
  "certifications": ["AWS"],
  "job_base_pay_range": "$130,000 - $160,000",
  "job_description": "We are looking for a Senior Data Engineer..."
}

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🏗️ Built For

Use Case	How This Actor Helps
Job Aggregation Platforms	Ingest structured job data at scale without building your own scraper
ATS & Recruitment Tools	Enrich job pipelines with live market data
AI Resume Matching	Feed clean job descriptions directly into matching models
HR & Market Analytics	Track hiring trends, salary ranges, and in-demand skills
Talent Intelligence Platforms	Monitor competitor hiring signals and role demand

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⚙️ Performance

• Concurrent processing — Up to 10 parallel requests per batch
• Batch size — 50 jobs per batch with automatic pacing
• Retry logic — 3 automatic retries per job with exponential backoff
• Rate limit handling — Detects and backs off gracefully
• Typical speed — 50–100 jobs per minute on Apify cloud

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🔒 Reliability & Quality

• Every job returns a scrape_status field: success or failed
• Failed jobs include an error_message for easy debugging
• Partial data always returned — no silent nulls
• Multi-fallback selector chains handle LinkedIn UI variations

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❓ FAQ

Can I scrape hundreds of jobs at once? Yes. Pass all URLs in startUrls. The Actor handles batching and concurrency automatically.

Are all fields always populated? No — some fields like salary, poster info, and employee count depend on what LinkedIn makes public for that specific posting. All fields are always present in the output; missing data is returned as null.

What happens if a job is no longer available? The Actor returns a failed status with an appropriate error message. It will not crash.

How fresh is the data? Data is scraped live at the time you run the Actor — always real-time.

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🛠️ Support

If you run into an issue, have a feature request, or need a custom integration — contact me through the Apify platform or directly at yash2492727@gmail.com. I respond to all messages.