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LinkedIn Jobs Scraper API

Extract public LinkedIn job postings as JSON: title, company, location, seniority, function, and applicant signals — from publicly visible listings only.

Job postingsCompany dataSalary signalsGeo & remote
▸ Overview

LinkedIn Jobs surfaces professional and white-collar roles enriched with seniority level, job function, and industry classifications tied to company pages. The LinkedIn Jobs Scraper API resolves publicly visible postings into JSON with title, employer, location, work type, seniority, function, and applicant-count signals.

Recruiting-intelligence and market-mapping teams use it to track professional hiring demand and seniority mix across industries. Only public listings are accessed, and structured seniority and function fields make it easy to segment the professional labor market.

LinkedIn Jobs Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.linkedinjobs.com/jobs",
  "type": "search",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "title": "...",
    "company": "...",
    "location": "Remote, US",
    "salary": { "min": 120000, "max": 160000, "currency": "USD" },
    "posted": "2026-05-28",
    "work_type": "full_time"
  }
}
"type": "search", "geo": "us"
▸ What you can extract

Every public field, structured for you.

LinkedIn Jobs data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Job posting details

  • Title, company, location, work type
  • Description, requirements, benefits
  • Seniority, function, employment type
  • Posted date and job ID

Company details

  • Company name, industry, size
  • Rating and review summary
  • Logo, website, headquarters

Search results

  • Ranked roles per query + location
  • Remote / hybrid / on-site filter
  • Date-posted and salary filters
  • Pagination across result pages

Salary & compensation

  • Disclosed or estimated salary range
  • Currency and pay period
  • Equity / bonus signals where shown

Application signals

  • Applicant count and easy-apply flag
  • Repost and freshness signals
  • External application URL
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Professional hiring-demand mapping

[ 02 ]

Seniority and function segmentation

[ 03 ]

Company headcount-growth signals

[ 04 ]

Industry talent-flow analytics

▸ FAQ

LinkedIn Jobs scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

LINKEDIN JOBS DATA · ON TAP

Start pulling LinkedIn Jobs data this week.

Tell us the LinkedIn Jobs surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies