Linkedin Job Search Scraper
Pricing
from $6.00 / 1,000 linkedin job scrapeds
Linkedin Job Search Scraper
Extract comprehensive LinkedIn job data including titles, companies, salaries, descriptions, requirements, and company profiles. Get structured JSON output with application deadlines, seniority levels, and direct job URLsβperfect for recruitment analytics and job market research.
Pricing
from $6.00 / 1,000 linkedin job scrapeds
Rating
1.0
(1)
Developer
CodeNest
Maintained by CommunityActor stats
0
Bookmarked
16
Total users
3
Monthly active users
11 days ago
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πΌ LinkedIn Job Search Scraper - Ultimate Job Listings & Company Data Extractor
Effortlessly scrape LinkedIn job postings with our powerful LinkedIn Job Search Scraper! This Apify actor enables keyword-based job discovery, direct job URL extraction, and comprehensive company and job metadata collection across locations.
π Overview
Need to find job listings, analyze hiring trends, or build recruitment databases? This LinkedIn Job Search Scraper delivers:
- π Keyword-Based Job Discovery - Search jobs by title, skill, or role
- π Location Filtering - Target jobs by country or region
- π Direct Job URL Support - Scrape specific job postings instantly
- π’ Complete Company Data - Company profiles, size, industry, and address
- π Rich Job Metadata - Seniority, employment type, skills, and requirements
- π Proxy Support - Built-in Apify residential proxy integration
Perfect for recruiters π―, job seekers π, HR analysts π, and market researchers π¬!
β Core Capabilities of LinkedIn Job Search Scraper
π Job Discovery
- Keyword Search - Find jobs by title, skill, or role (e.g., "marketing")
- Location Targeting - Filter results by country or region
- Result Limiting - Control the number of jobs returned
- Direct Job URLs - Scrape specific job postings directly
π Job Data Extraction
- Complete Job Details - Title, description, and responsibilities
- Seniority Level - Entry, Associate, Mid-Senior, Executive
- Employment Type - Full-time, Part-time, Contract, Internship
- Workplace Type - On-site, Remote, Hybrid
- Industries - Sector classification for each role
π’ Company Intelligence
- Company Profiles - Name, logo, and LinkedIn URL
- Company Size - Employee count ranges
- Company Type - Public, Private, Partnership, Nonprofit
- Headquarters - Company location and address
- Company Description - Full business overview
π Requirements & Skills
- Experience Requirements - Years of experience needed
- Educational Requirements - Degrees and certifications
- Required Skills - Technical and soft skills
- Additional Requirements - Certifications, licenses, etc.
π° Compensation & Application
- Salary Information - Where available (page or description)
- Application Deadline - Job closing dates
- Valid Through - Posting expiration
- Application URLs - Direct apply links
βοΈ Input Configuration
Simply enter your search criteria or direct job URLs, configure limits, and click "Start". Input looks like this:
{"keyword": "marketing","limit": 50,"location": "india","urls": [{"url": "https://www.linkedin.com/jobs/search-results/?currentJobId=4450833090&keywords=Engineer"},{"url": "https://www.linkedin.com/jobs/view/4439752501/"},{"url": "https://www.linkedin.com/jobs/view/4397912125"}],"proxy": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "US"}}
π Input Specifications
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
keyword | String | β No | - | Job search keyword (e.g., "marketing") |
location | String | β No | - | Location filter (e.g., "india") |
limit | Integer | β No | 50 | Maximum number of jobs to return |
urls | Array | β No | [] | Direct LinkedIn job or search URLs |
proxy.useApifyProxy | Boolean | β No | true | Enable Apify proxy |
proxy.apifyProxyGroups | Array | β No | ["RESIDENTIAL"] | Proxy groups to use |
proxy.apifyProxyCountry | String | β No | - | Proxy country code |
π€ Output Structure
Your LinkedIn Job Search Scraper produces comprehensive job data with company profiles and requirements:
[{"id": "4450833090","title": "Industrial Engineer (IE)","companyName": "nextjobz","companyLinkedinUrl": "https://bd.linkedin.com/company/next-jobz","location": "Narayanganj Sadar Upazila, Dhaka, Bangladesh","postedTimeAgo": "1 month ago","descriptionText": "Company Name:\nConcordia Pacific Garments Ltd...","seniorityLevel": "Mid-Senior level","employmentType": "Full-time","industries": "Staffing and Recruiting","companyLogo": "https://media.licdn.com/...","link": "https://www.linkedin.com/jobs/view/4450833090","experienceRequirement": "2-5 years","requiredSkills": ["production management, manufacturing operations management"],"datePosted": "2026-09-15","companyDescription": "nextjobz is a career platform powered by Akij Resource...","companyWebsite": "https://nextjobz.com.bd/","companyIndustry": "Staffing and Recruiting","companySize": "11-50 employees","companyHeadquarters": "Dhaka, Dhaka","companyType": "Privately Held"}]
π Output Field Documentation
πΉ Job Identification
| Field | Description |
|---|---|
id | LinkedIn job ID (unique) |
title | Job title/position name |
link | Direct LinkedIn job URL |
postedTimeAgo | Relative posting time |
datePosted | Exact posting date |
πΉ Job Details
| Field | Description |
|---|---|
descriptionText | Full job description (plain text) |
descriptionHtml | Job description (HTML format) |
seniorityLevel | Entry, Associate, Mid-Senior, Executive |
employmentType | Full-time, Part-time, Contract, etc. |
industries | Job industry classification |
workplaceType | On-site, Remote, Hybrid |
πΉ Location Data
| Field | Description |
|---|---|
location | Job location (city, region, country) |
jobLocationFromDescription | Location extracted from description |
πΉ Requirements
| Field | Description |
|---|---|
experienceRequirement | Years of experience needed |
educationalRequirements | Degrees and certifications |
requiredSkills | Required technical/soft skills |
additionalRequirements | Other requirements |
πΉ Compensation
| Field | Description |
|---|---|
salary | Formatted salary data |
salaryText | Salary text as displayed |
πΉ Application
| Field | Description |
|---|---|
applyUrl | Direct application URL |
easyApply | LinkedIn Easy Apply availability |
applicationDeadline | Job closing date |
validThrough | Posting expiration date |
πΉ Company Data
| Field | Description |
|---|---|
companyName | Company name |
companyLinkedinUrl | Company LinkedIn page |
companyLogo | Company logo URL |
companyDescription | Full company overview |
companyWebsite | Company website URL |
companyIndustry | Company industry |
companySize | Employee count range |
companyHeadquarters | Company HQ location |
companyType | Public, Private, Partnership, etc. |
companyAddress | Full company address |
π¨ Key Features of This LinkedIn Job Search Scraper
π Smart Search & Discovery
- Keyword-Based Search - Find jobs by any title or skill
- Location Filtering - Target specific regions or countries
- Direct URL Support - Scrape search results or specific jobs
- Result Limiting - Control output volume
π Complete Job Intelligence
- Full Descriptions - Both text and HTML formats
- Seniority Levels - Understand role hierarchy
- Employment Types - Full-time, contract, internship
- Workplace Types - Remote, hybrid, on-site
π’ Deep Company Data
- Company Profiles - Complete business information
- Company Size - Employee count ranges
- Industry Classification - Sector identification
- Company Type - Legal structure detection
π Requirements Extraction
- Experience Levels - Years required
- Educational Needs - Degree requirements
- Skills Mapping - Technical and soft skills
- Additional Criteria - Certifications and licenses
π Proxy & Reliability
- Residential Proxy Support - Avoid rate limiting
- Country Targeting - Geo-specific scraping
- Session Management - Consistent scraping
- Error Resilience - Individual failures handled
π‘ Use Cases for LinkedIn Job Search Scraper
- π― Recruiters - Build candidate pipelines by role
- π Job Seekers - Track openings across companies
- π HR Analysts - Study hiring trends and requirements
- π¬ Market Researchers - Analyze job market dynamics
- π° Salary Analysts - Track compensation data
- π Business Developers - Identify growing companies
- π Career Counselors - Guide clients on skill demand
- π’ Competitor Analysis - Track competitor hiring
β¨ Why Choose Our LinkedIn Job Search Scraper?
- β‘ Fast & Efficient - Quick job discovery and extraction
- π― 100% Accurate - Preserves all data without alteration
- π¦ Complete Data - Everything from job details to company info
- π Regular Updates - Adapts to LinkedIn changes
- π‘οΈ Production Ready - Reliable with thousands of jobs
- π° Cost Efficient - Optimized for minimal compute time
- π Privacy Focused - Only public data extracted
β οΈ Limitations
- Only works with publicly accessible LinkedIn job postings
- Some job details may require authentication
- Rate limits may apply for high-volume scraping
- Salary data availability varies by posting
- Search results depend on LinkedIn's available inventory
π§ Need Custom Features for Your LinkedIn Job Search Scraper?
Want additional job fields, specific company filters, custom output formats, advanced analytics, or automated reporting?
βοΈ Email codenest2.0@gmail.com for tailored enterprise solutions!