Linkedin Job details Scraper
by yka_6789
Extract structured job intelligence from any LinkedIn job URL using the Job URL. Fast, unblockable, scalable, and perfect for ATS, analytics, and AI m...
Opens on Apify.com
About 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.
What does this actor do?
Linkedin Job details Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
π LinkedIn Jobs Scraper (Powered by LinkedIn jobs API) A high-speed LinkedIn job data extraction engine built using the public LinkedIn endpoint and deployed as an Apify Actor. This Actor allows users to extract AI-ready job intelligence from any public LinkedIn job URL β with no login, no cookies, no browser automation, and zero proxy requirements. --- ## π§ Overview The LinkedIn Jobs Scraper is designed for: - Job Aggregation Platforms - Applicant Tracking Systems (ATS) - Recruitment & HR Analytics - Market Intelligence Platforms - ResumeβJob Matching AI Systems β‘ Zero-Login Architecture - No LinkedIn account required - No cookies or sessions - No Playwright / Selenium - No proxies or Web Unblocker - Ultra-fast & low-cost scraping at scale --- ## β¨ Features | Feature | Description | |--------|-------------| | π Job Identity Extraction | Job ID, title, company name, company slug, location | | β±οΈ Posted Date & Popularity | Posted time text, ISO date, applicant count | | π§βπ» Employment Metadata | Employment type, workplace type, seniority (when available) | | π§ AI-Ready Job Parsing | Clean job description, experience, education, skills | | π° Salary Detection | Salary range (when publicly available) | | π’ Company Intelligence | Logo URL, industry, employee range (best-effort) | | π Application Intelligence | Easy Apply vs External Apply detection | | π¦ Structured JSON Output | Ready for analytics, ATS & AI pipelines | | π Apify Cloud Ready | One-click cloud deployment | --- ## β Data Coverage ### 1. Core Job Identity - job_posting_id - job_url - job_title - company_name - company_linkedin_slug - job_location - country_code ### 2. Job Timing & Popularity - job_posted_text - job_posted_date_iso - job_num_applicants - promoted_by_hirer (boolean) - actively_hiring (boolean) ### 3. Employment Metadata (When Available) - employment_type - workplace_type - seniority_level - job_function - industries ### 4. Job Description Intelligence - Full clean job description - experience_years_min - experience_years_max - education_level - skills - certifications ### 5. Compensation (When Available) - salary_currency - salary_min - salary_max - salary_text ### 6. Company Intelligence (Guest-Level) - company_logo_url - company_industry - company_employee_count_range - company_website (rare) ### 7. Application Intelligence - apply_method (Easy Apply / External Apply) - apply_url - easy_apply_enabled --- ## βΆοΈ Input Format ```json { "jobUrl": "https://www.linkedin.com/jobs/view/4319924354/" }
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Linkedin Job details Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- yka_6789
- Pricing
- Paid
- Total Runs
- 33
- Active Users
- 2
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