💼 LinkedIn Jobs Scraper | $3/1K | No Login, No Proxy, 15× Faster

Real-time LinkedIn Jobs scraper — direct HTTP, no login, no proxy — plus 15 layers of recruitment intelligence: salary parser (USD-normalized), job freshness, work-mode classifier (remote/hybrid/onsite), 200+ skills extraction, benefits parser, seniority normalizer, job category auto-detect, recruiterScore 0-100, DEI signals, pay-transparency law detection, industry-specific outreach pitches, one-click outreach links, and unique enrichment (years of experience, visa sponsorship classification, education requirements, company funding signals, hiring urgency) — all in one $0.003/job call.

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

⚡ Speed (v1.5)

Metric	Value
1 page (up to 60 jobs)	~1.5 seconds
5 pages + deep-fetch all	~10 seconds
Deep-fetch per job	~1.2 seconds
Max jobs per run	1000+ (40 pages)
Proxy needed?	No — datacenter IP works
Login needed?	No — public endpoint

✨ What you get for $0.003 per job

⭐ Core (LinkedIn)

• Job title, company name, location, job type
• Full description (via deep-fetch), posted date, company logo
• Direct job URL + canonical URL + jobId
• Apply method: easy_apply / external + apply URL
• Applicants count, seniority level, industries, job function
• Company LinkedIn URL, company size

💰 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)
• Auto-annualized from hourly/daily/weekly/monthly
• salary_tier — entry / mid / senior / principal / unicorn
• False-positive filtering (skips "$350 wellness reimbursement" etc.)

⏱️ Job freshness

• daysSincePosted + freshness_tier (today/this_week/this_month/older)
• postedAtIso — ISO 8601 date from LinkedIn's datetime attribute

🌍 Work-mode classifier

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

🛠️ Skills extraction (200+ tech terms)

• skillsRequired[], skillsCount, softSkills[], certifications[]

🎁 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 + benefitsCount

🎯 Seniority normalizer

intern / junior / mid / senior / lead / staff / principal / director / vp / c-level / unspecified

🏷️ 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 combining: hiring activity, freshness, salary disclosure, modern skills, benefits depth, seniority, remote/visa signals. recruiterTier: cold / warm / hot / scorching.

🌈 DEI signals

7 flags: diversity, LGBTQ, women, veteran, disability, EEO, pay transparency. dei_signals_count.

⚖️ Pay transparency law detection

US state compliance (CA/CO/CT/MD/NV/NY/RI/WA/DC/IL/MN/MA) + pay_transparency_compliant flag.

📞 Outreach links + pitches

LinkedIn company page, hiring-manager search, role-owner search, Google careers, careers-page guess. Per-company outreach pitch (3 variants: consultative / aggressive / referral).

🆕 Unique enrichment (no competitor has these)

• yearsExperienceMin / yearsExperienceMax — regex from description
• visaSponsorship — sponsors / does_not_sponsor / empty
• educationRequired — phd / masters / bachelors / associate
• educationOrEquivalent — "or equivalent experience" flag
• companyFundingSignal — series_a through series_f / public / funded
• hiringUrgencySignals[] — immediate_start / deadline / fast_growing
• descriptionHtml — raw HTML for custom parsing
• companyId — LinkedIn numeric company ID
• scrapedAt — ISO timestamp of scrape

📊 Aggregates (free, KV store)

• SUMMARY — avg/p25/p75 salary, top skills, recruiter-tier distribution
• TOP_HIRING_COMPANIES — top 20 by job count + outreach pitches
• TOP_JOBS — top 20 by recruiterScore

📦 Input

Basic

{
  "keywords": "software engineer",
  "location": "United States",
  "maxPages": 5
}

Recruitment-tech B2B prospecting

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

All input parameters

Field	Type	Default	Description
keywords	string	required	Job title or keywords
location	string	—	City / country / 'Remote'
maxPages	int	5	1-40. Up to 60 jobs/page.
remote	bool	false	LinkedIn remote filter
experienceLevel	string	any	internship/entry/associate/mid_senior/director/executive
jobType	string	any	full_time/part_time/contract/temporary/volunteer/internship
postedWithin	string	any	day/week/month
deepFetchAll	bool	true	Fetch each job's detail page (~1s/job). Full description, salary, apply method, seniority, applicants.
deepFetchTopN	int	0	Deep-fetch only top N companies (legacy, use deepFetchAll instead)
minRecruiterScore	int	0	Drop below threshold
onlyWithSalary	bool	false	Comp-transparent only
onlyRemote	bool	false	Fully-remote only
deduplicateCompanies	bool	false	One job per company
exportFormat	enum	default	default / csv
writeSummary	bool	true	KV aggregates
maxConcurrency	int	5	Parallel page scrapes (5-10 safe)
maxRetries	int	1	Retry on transient failures
timeout	int	120	Seconds per page

📖 Sample Output

{
  "jobTitle": "Senior Backend Engineer",
  "companyName": "Acme Corp",
  "location": "San Francisco, CA",
  "jobType": "Full-time",
  "description": "Build the next-gen data platform...",
  "descriptionHtml": "<div>Build the next-gen...</div>",
  "postedDate": "2026-07-19",
  "jobUrl": "https://www.linkedin.com/jobs/view/3712345678",
  "jobId": "3712345678",
  "jobCanonicalUrl": "https://www.linkedin.com/jobs/view/3712345678",
  "applyMethod": "easy_apply",
  "applyUrl": "https://www.linkedin.com/jobs/view/3712345678/apply",
  "applicantsCount": 142,
  "companyLogo": "https://media.licdn.com/...",
  "companyLinkedinUrl": "https://www.linkedin.com/company/acme-corp",
  "companySizeRaw": "1,001 - 5,000 employees",

  "salaryMinUsd": 180000,
  "salaryMaxUsd": 240000,
  "salaryMedianUsd": 210000,
  "salaryPeriod": "year",
  "salaryCurrency": "USD",
  "salary_tier": "senior",

  "daysSincePosted": 3,
  "freshness_tier": "this_week",
  "postedAtIso": "2026-07-19",
  "scrapedAt": "2026-07-22T14:30:00Z",

  "workMode": "remote",
  "workMode_signals": ["+remote"],

  "skillsRequired": ["Python", "Fastapi", "Postgres", "Kubernetes"],
  "skillsCount": 4,

  "seniority_normalized": "senior",
  "jobCategory": "engineering",

  "yearsExperienceMin": 5,
  "yearsExperienceMax": 8,
  "visaSponsorship": "sponsors",
  "educationRequired": "bachelors",
  "educationOrEquivalent": true,
  "companyFundingSignal": "series_c",
  "hiringUrgencySignals": ["fast_growing"],

  "mentions_equity": true,
  "mentions_401k": true,
  "mentions_remote_work": true,
  "benefitsCount": 3,

  "recruiterScore": 73,
  "recruiterTier": "hot",
  "recruiterScoreReasons": ["5 roles open", "posted this week", "salary disclosed"]
}

⚡ How it works

1. Build LinkedIn Jobs public search URL with your filters
2. Fetch pages via direct HTTP (~1.5s/page, no proxy)
3. Parse HTML job cards (up to 60 per page)
4. Deep-fetch each job's detail page for full description + salary + metadata
5. Dedupe by title+company+location fingerprint
6. Two-pass enrichment: all 15 layers including recruiterScore
7. Apply post-filters, write aggregates to KV store

💰 Pricing

Volume	Cost
1 job	$0.003
100	$0.30
1,000	$3.00
10,000	$30.00

❓ FAQ

Q: Do I need a LinkedIn account? A: No. Public endpoint, no login, no proxy.

Q: How many jobs per page? A: Up to 60 (LinkedIn's public search returns more results than logged-in).

Q: How fast? A: 5 pages (~300 jobs) + deep-fetch in ~10 seconds. 15× faster than v1.4.

Q: Will it work for non-English markets? A: Yes — core fields + salary work globally. Skills/benefits parsers are English-tuned.

🔗 Related Actors

• Indeed Jobs Scraper
• Glassdoor Jobs Scraper
• LinkedIn Profile Scraper
• Job Posting Lead Finder

📞 Support

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