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URL: https://apify.com/ayk_6789/linkedin-job-details-scraper

⇱ Linkedin Job details Scraper Β· Apify


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from $0.70 / 1,000 results

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Linkedin Job details Scraper

Extract structured job intelligence from any LinkedIn job URL using the Job URL. Fast, unblockable, scalable, and perfect for ATS, analytics, and AI matching.

Pricing

from $0.70 / 1,000 results

Rating

0.0

(0)

Developer

πŸ‘ YKA

YKA

Maintained by Community

Actor stats

4

Bookmarked

96

Total users

26

Monthly active users

3 months ago

Last modified

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πŸš€ 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 β€” instantly, at scale, with no setup required.


πŸ‘¨β€πŸ’» About the Developer

Hi, I'm YKA_6789 β€” 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 β€” without the overhead of maintaining scrapers in-house.

πŸ“© For custom integrations, bulk data needs, or freelance projects β€” reach me at yash2492727@gmail.com


🧠 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

✨ Features

FeatureDescription
πŸ” Job Identity ExtractionJob ID, title, company name, company LinkedIn URL, location
⏱️ Posted Date & PopularityPosted time text, ISO date, applicant count
πŸ§‘β€πŸ’» Employment MetadataEmployment type, workplace type, seniority (when available)
🧠 AI-Ready Job ParsingClean job description, experience, education, skills, certifications
πŸ’° Salary DetectionSalary range (when publicly available)
🏒 Company IntelligenceLogo URL, industry, employee range (best-effort)
πŸ“ Application IntelligenceEasy Apply vs External Apply detection, poster info
πŸ“¦ Structured JSON OutputReady for analytics, ATS & AI pipelines
🌍 Apify Cloud ReadyOne-click cloud deployment

βœ… 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

▢️ 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 β€” the Actor handles batching and concurrency automatically.


πŸ“€ 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..."
}

πŸ—οΈ Built For

Use CaseHow This Actor Helps
Job Aggregation PlatformsIngest structured job data at scale without building your own scraper
ATS & Recruitment ToolsEnrich job pipelines with live market data
AI Resume MatchingFeed clean job descriptions directly into matching models
HR & Market AnalyticsTrack hiring trends, salary ranges, and in-demand skills
Talent Intelligence PlatformsMonitor competitor hiring signals and role demand

βš™οΈ Performance

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

πŸ”’ 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 β€” no silent nulls
  • Multi-fallback selector chains handle LinkedIn UI variations

❓ 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 β€” 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 β€” always real-time.


πŸ› οΈ Support

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

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