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💼 LinkedIn Jobs Scraper | $3/1K | Salary, Skills, Recruiter Score

⚡ Use this Actor in n8n — no code

Building no-code workflows in n8n? Install our official community node and drop this Actor straight onto your canvas:

📦 n8n-nodes-apivault-linkedin-jobs

Setup (30 seconds): in n8n go to Settings → Community Nodes → Install, paste n8n-nodes-apivault-linkedin-jobs and confirm → add the new node to your workflow → paste your Apify API token → fill in the input and run.

Real-time LinkedIn Jobs scraper plus 12 layers of recruitment intelligence: salary parser (USD-normalized), job freshness, work-mode classifier (remote/hybrid/onsite), 200+ skills extraction, benefits parser (401k/equity/visa/...), seniority normalizer, job category auto-detect, recruiterScore 0-100, industry-specific outreach pitches, and one-click outreach links — all in one $0.003/job call.

Built for recruitment-tech, ATS, sourcing tools, HR-tech B2B sales, competitive intelligence, and salary benchmarking.

✨ What you get for $0.003 per job

⭐ Core (LinkedIn)

• Job title, company name, location
• Job type, description snippet, posted date, company logo
• Direct job URL

💰 Salary parser

• salaryMinUsd, salaryMaxUsd, salaryMedianUsd — USD-normalized
• salaryPeriod (hour/day/week/month/year) — auto-detected
• salaryCurrency — USD/EUR/GBP/CAD/AUD/INR/JPY (FX converted)
• Hourly/daily/weekly/monthly auto-annualized to year
• salaryRaw for verification, salary_is_estimate flag

⏱️ Job freshness

• daysSincePosted — Posted 3 days ago → 3
• freshness_tier — today / this_week / this_month / older

🌍 Work-mode classifier

• workMode — remote / hybrid / onsite / unknown
• workMode_signals[] — keywords that triggered classification

🛠️ Skills extraction (200+ tech terms)

• skillsRequired[] — Python, React, Postgres, AWS, Kubernetes, GraphQL, TensorFlow, LangChain, Salesforce, Shopify, ...
• skillsCount
• softSkills[] — leadership, communication, mentoring, ...
• certifications[] — AWS / Azure / GCP / CKAD / PMP / CISSP / ...

🎁 Benefits parser — 14 boolean flags

mentions_401k, mentions_health_insurance, mentions_equity, mentions_remote_work, mentions_visa_sponsorship, mentions_relocation, mentions_unlimited_pto, mentions_parental_leave, mentions_signing_bonus, mentions_4_day_week, mentions_stipend, mentions_meals, mentions_gym, mentions_commuter_benefits, plus benefitsCount

🎯 Seniority normalizer

intern / junior / mid / senior / lead / staff / principal / director / vp / c-level / unspecified. Reliable across noisy titles (Sr SWE / Senior Software Engineer / SWE III all map to senior).

🏷️ Job category auto-detect

engineering / data_science / product / design / sales / marketing / finance / hr / operations / legal / customer_support / healthcare / education / construction_trades / other

🎯 recruiterScore (0-100) + tier + reasons

• B2B prospecting score for recruitment-tech / ATS / sourcing-tool / HR-tech sales. Combines:
  • Number of roles open at same company in this run (active budget)
  • Job freshness (active demand)
  • Salary disclosed + tier
  • Modern skills count, benefits depth
  • Decision-maker seniority (VP/director/C-level = budget owner)
  • Remote-friendly / visa sponsorship (talent strategy)
• recruiterTier — cold / warm / hot / scorching
• recruiterScoreReasons[] — explainable signals

📞 One-click outreach links

• linkedin_company_url
• linkedin_jobs_at_company_url
• linkedin_hiring_manager_search_url — pre-filtered "VP of engineering / head of talent / hiring manager" search
• google_search_url
• careers_page_guess

💬 Industry-specific outreach pitch (per company)

Written to the TOP_HIRING_COMPANIES KV record. 8 industry templates covering engineering, data/AI, sales, marketing, product, design, finance, HR/talent.

📊 SUMMARY + TOP_HIRING_COMPANIES (free aggregates)

On bulk runs, two records are written to the run's KV store (free — doesn't trigger pay-per-event):

SUMMARY:

• avg/p25/p75 salary across the run
• by_category / by_seniority / by_work_mode / by_freshness
• by_recruiter_tier
• top_companies, top_skills_demanded, top_benefits_offered
• salary_disclosed_pct, remote_friendly_pct, fresh_today_count

TOP_HIRING_COMPANIES:

• Top 20 companies sorted by job count
• Per-company: jobs_count, max_recruiterScore, categories, top_skills, avg_salary_usd, outreachPitch, outreachLinks
• Drop into Slack as a daily sales digest

📦 Input

Basic

{
"keywords":"software engineer",
"location":"United States",
"maxPages":3
}

Recruitment-tech B2B prospecting (recommended preset)

{
"keywords":"engineering manager",
"location":"United States",
"maxPages":10,
"remote":true,
"experienceLevel":"director",
"minRecruiterScore":60,
"onlyWithSalary":true,
"exportFormat":"csv"
}

This returns only director-level engineering managers at remote-friendly companies disclosing salary with recruiterScore ≥ 60 — perfect for selling sourcing tools.

Salary benchmarking (Bay Area senior engineers)

{
"keywords":"senior software engineer",
"location":"San Francisco Bay Area",
"maxPages":15,
"experienceLevel":"mid_senior",
"onlyWithSalary":true
}

All input parameters

📖 Sample Output

{
"success":true,
"source":"linkedin",
"jobTitle":"Senior Backend Engineer",
"companyName":"Acme Corp",
"location":"San Francisco, CA (Remote)",
"jobType":"Full-time",
"description":"Build the next-gen data platform with Python, FastAPI, Postgres, Kubernetes. Comp $180K-$240K + equity, 401k 6% match, unlimited PTO, $2K learning stipend...",
"postedDate":"3 days ago",
"jobUrl":"https://www.linkedin.com/jobs/view/3712345678",
"salaryMinUsd":180000,
"salaryMaxUsd":240000,
"salaryMedianUsd":210000,
"salaryPeriod":"year",
"salaryCurrency":"USD",
"daysSincePosted":3,
"freshness_tier":"this_week",
"workMode":"remote",
"workMode_signals":["+remote"],
"skillsRequired":["Python","Fastapi","Postgres","Kubernetes"],
"skillsCount":4,
"mentions_equity":true,
"mentions_401k":true,
"mentions_unlimited_pto":true,
"mentions_stipend":true,
"mentions_remote_work":true,
"benefitsCount":5,
"seniority_normalized":"senior",
"jobCategory":"engineering",
"recruiterScore":73,
"recruiterTier":"hot",
"recruiterScoreReasons":[
"5 roles open",
"posted this week",
"salary disclosed",
"high-tier comp",
"5 benefits listed",
"remote-friendly"
],
"outreachLinks":{
"linkedin_company_url":"https://www.linkedin.com/company/Acme+Corp",
"linkedin_hiring_manager_search_url":"https://www.linkedin.com/search/results/people/?keywords=Acme+Corp+%22hiring+manager%22+OR+...",
"google_search_url":"https://www.google.com/search?q=%22Acme+Corp%22+careers",
"careers_page_guess":"https://acmecorp.com/careers"
}
}

💼 Use cases

🥇 Recruitment-tech / ATS / sourcing-tool B2B sales

• Filter recruiterTier = "scorching" for warmest accounts
• Filter seniority_normalized in (vp, director, c-level) for budget owners
• Filter jobCategory = "hr" for talent-acquisition leaders themselves
• Use outreachLinks.linkedin_hiring_manager_search_url to find the buyer
• Use TOP_HIRING_COMPANIES per-company outreachPitch as the first cold-email draft

💰 Salary benchmarking

• salaryMedianUsd normalized across hourly/yearly/EUR/GBP
• Aggregate by seniority_normalized, jobCategory, workMode, location
• SUMMARY.salary_p25_usd / p75_usd for percentile bands

📈 Hiring trends / market research

• daysSincePosted distribution = real-time labor demand
• top_skills_demanded from SUMMARY = what skills companies are paying for
• mentions_visa_sponsorship % = global talent strategy adoption

🔍 Competitive intelligence

• Track which roles your competitors are hiring for
• top_companies from SUMMARY = density per query
• mentions_equity % across competitors = comp benchmarking

👥 Job aggregator / niche board

• Filter freshness_tier = "today" for daily fresh listings
• Filter workMode = "remote" for remote job boards
• Filter jobCategory = "engineering" for vertical boards

💰 Pricing

Pay only for what you extract. No subscriptions, no API keys.

⚡ How it works

1. Build LinkedIn Jobs public search URL with your filters
2. Paginate ?start=0&start=25&start=50...
3. Each page through a real-time rendering engine on Apify infrastructure
4. Dedupe by title+company+location fingerprint
5. Two-pass enrichment: collect all rows, compute per-company hiring count, then enrich every job with all 12 layers including the recruiterScore
6. Apply post-filters (minRecruiterScore, onlyWithSalary, onlyRemote)
7. Write SUMMARY + TOP_HIRING_COMPANIES to KV store (free)

Typical coverage:

• 1 page → ~25 jobs
• 3 pages → ~60-75 jobs
• 10 pages → ~200-250 jobs

❓ FAQ

Q: Do I need a LinkedIn account? A: No. The actor scrapes the public job search results — no login required.

Q: How accurate is the salary parser? A: Recognizes ranges, single values, K/M suffixes, and 7 currencies. Handles hourly/weekly/monthly auto-annualization. Falls back to scanning the description text. Cases where LinkedIn doesn't display salary at all return null (silently — use onlyWithSalary: true to drop them).

Q: How accurate is recruiterScore? A: It's a heuristic — bigger hiring-active companies with senior roles, fresh postings, and disclosed salaries score highest. Treat scorching/hot as priority outreach, warm as nurture, cold as deprioritize.

Q: Will it work for jobs in non-English markets? A: Yes — but the skills/benefits parsers are tuned to English keywords. Salary parser handles EUR/GBP/CAD/AUD/INR/JPY currencies; non-English postings still get core fields + salary if the listing has a numeric range.

Q: Can I filter by salary range? A: Use minRecruiterScore (which factors in salary tier), or filter client-side after the run with salaryMedianUsd.

🔗 Related Actors

• Indeed Jobs Scraper — Indeed's job listings
• Glassdoor Jobs Scraper — Glassdoor jobs
• LinkedIn Profile Scraper — Public profile data
• Job Posting Lead Finder — Multi-board job lead aggregator
• Yelp Business Analyzer — Local business intelligence

📞 Support

Open an issue on the actor's Apify page or message via Apify.