LinkedIn Jobs Search + AI Job Fit Scoring

Search LinkedIn public job listings by keyword and location — get back structured job data with optional full details and AI-powered job fit scoring. No login required.

---

Overview

Enter your keywords and location and walk away. This actor scrapes LinkedIn's public job listings, returns structured data for every result, and optionally fetches full job details and scores each listing against your preferences using AI.

Key highlights:

• No LinkedIn account or cookies required
• Three tiers: basic search, full details, or AI job fit scoring
• Filters by date posted, experience level, job type, and workplace type
• Deduplication built in — only pay for net-new jobs on repeat runs
• Returns clean, flat output — ready to export as CSV or JSON
• Only charged for jobs successfully returned — failed or skipped results are free

---

Quick Start

1. Enter your keywords (e.g. product manager, senior react developer)
2. Set your location (e.g. San Francisco, Remote, United Kingdom)
3. Apply filters if needed — date posted, experience level, job type, remote
4. Optionally enable full details or AI scoring
5. Run — get back a clean scored list of matching jobs

---

Input

Field	Required	Description
mode	Yes	Scrape mode — controls what data is returned and what you're charged
maxResults	No	Max jobs to return (default: 50, max: 1,000)
keywords	Yes*	Job title or keywords to search for
location	No	City, state, or country
prefRole	No	Target role or title (e.g. Senior Product Manager) — required for AI scoring
prefIndustry	No	Industry or company type (e.g. B2B SaaS, Series B startup)
prefSalary	No	Salary target (e.g. $150K+)
prefWorkplace	No	any, remote, hybrid, or on-site
prefAvoid	No	Anything to filter out (e.g. crypto, finance, agencies)
searchUrl	No	Paste a LinkedIn jobs search URL instead of keywords (advanced)
datePosted	No	Filter by recency: any, 24h, week, month
experienceLevel	No	Filter by level: internship, entry, associate, mid-senior, director, executive
jobType	No	Filter by type: full-time, part-time, contract, temporary, internship
remote	No	Filter by workplace: on-site, remote, hybrid
sortBy	No	relevant (default) or recent
enableDedup	No	Skip jobs seen in previous runs (default: true)

*Either keywords or searchUrl is required.

Modes:

• basic — Short ($0.50 / 1k jobs) — title, company, location, salary, posted date, job URL
• full — Full ($1.00 / 1k jobs) — everything above + full description, applicants, poster, seniority, company details
• scored — Full + AI Scoring ($3.00 / 1k jobs) — everything above + AI fit score, tier, pros/cons, salary estimate

Basic search example:

{
  "mode": "basic",
  "keywords": "product manager",
  "location": "San Francisco",
  "maxResults": 50,
  "datePosted": "week",
  "remote": ["hybrid", "remote"]
}

With AI scoring:

{
  "mode": "scored",
  "keywords": "senior software engineer",
  "location": "New York",
  "maxResults": 25,
  "prefRole": "Senior Software Engineer",
  "prefIndustry": "B2B SaaS, Series B+",
  "prefSalary": "$150K+",
  "prefWorkplace": "remote",
  "prefAvoid": "finance, crypto, agencies"
}

---

Output

Each job returns a flat row — clean columns, ready to export as CSV or JSON.

Basic output example:

{
  "id": "3892041823",
  "title": "Product Manager",
  "company": "Airbnb",
  "companyUrl": "https://www.linkedin.com/company/airbnb/",
  "location": "San Francisco, CA",
  "postedAt": "2026-04-20",
  "salary": ["$140,000 - $180,000"],
  "jobUrl": "https://www.linkedin.com/jobs/view/3892041823",
  "searchKeywords": "product manager"
}

With full details:

{
  "id": "3892041823",
  "title": "Product Manager",
  "company": "Airbnb",
  "location": "San Francisco, CA",
  "description": "We are looking for a Product Manager to join our Payments team...",
  "applicantsCount": "142 applicants",
  "seniorityLevel": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": "Product Management",
  "industries": "Software Development",
  "jobPosterName": "Jane Recruiter",
  "jobPosterTitle": "Senior Recruiter at Airbnb",
  "companySize": "5,001-10,000 employees",
  "applyUrl": "https://careers.airbnb.com/positions/..."
}

With AI scoring:

{
  "jobFitScore": 87,
  "jobFitTier": "A",
  "jobFitReason": "Strong match on seniority, tech stack, and remote flexibility — compensation range aligns with stated target",
  "keySkills": ["product strategy", "payments", "cross-functional leadership"],
  "salaryEstimate": "$150,000 - $175,000",
  "pros": ["Remote-friendly", "Strong brand", "Matches seniority target"],
  "cons": ["Travel-heavy role", "Large company structure"]
}

Full output fields:

Column	Description
id	LinkedIn job ID
title	Job title
company	Company name
companyUrl	Company LinkedIn URL
companyLogo	Company logo image URL
location	Job location
postedAt	Date posted
salary	Salary range if listed
jobUrl	Direct link to the job listing
searchKeywords	Keywords used in this search
description	Full job description (full details only)
applicantsCount	Number of applicants (full details only)
seniorityLevel	Seniority level (full details only)
employmentType	Employment type (full details only)
jobFunction	Job function category (full details only)
industries	Industry (full details only)
jobPosterName	Name of the person who posted (full details only)
jobPosterTitle	Their title (full details only)
jobPosterUrl	Their LinkedIn URL (full details only)
companySize	Company headcount range (full details only)
applyUrl	Direct apply URL (full details only)
jobFitScore	0–100 fit score (AI scoring only)
jobFitTier	A/B/C/D tier — A=80-100, B=60-79, C=40-59, D=0-39 (AI scoring only)
jobFitReason	One-sentence explanation (AI scoring only)
keySkills	Key skills extracted from the listing (AI scoring only)
salaryEstimate	AI salary estimate if not listed (AI scoring only)
pros	Why this job fits your preferences (AI scoring only)
cons	Where it falls short (AI scoring only)

---

Pricing

Mode	Cost
Short	$0.50 per 1,000 jobs
Full	$1.00 per 1,000 jobs
Full + AI Scoring	$3.00 per 1,000 jobs

You only pay for jobs you actually get. Unlike scrapers that charge per page regardless of results, we charge per job delivered.

---

Performance Tips

• Use searchUrl for precise filtering — go to linkedin.com/jobs/search, apply all your filters, copy the URL, paste it in
• Enable dedup on repeat runs — you only pay for net-new jobs
• Keep maxResults reasonable — LinkedIn public listings cap out around 1,000 per search

---

Error Handling

• Failed job fetches are skipped — the run continues for all other results
• Individual failures don't stop the entire run
• If a search returns 0 results, check your keywords and location spelling

---

Security & Privacy

• No LinkedIn account or authentication cookies required
• No data is stored beyond Apify's standard dataset storage