Scrape LinkedIn Job Listings — No Login, No Cookies, No Account Required
Extract LinkedIn job data through the public guest API without any authentication. No LinkedIn account needed, no cookies to manage, no risk of account bans. Three flexible modes let you search by keywords, fetch specific job details, or process a list of LinkedIn job URLs. Company logos and full descriptions included with every result.
Pricing
$0.008/SERP + $0.020/detail
Anti-Bot
Guest API (no auth)
What You Can Scrape
- Job search results — title, company, location, posted date from LinkedIn's job search
- Full job details — complete description, seniority level, employment type, industry, applicant count
- Company data — company name, logo URL, LinkedIn company page link
- Three operating modes — keyword search, job detail by ID, or batch processing of URLs
- Global coverage — all LinkedIn job markets and geoIds supported
- Multi-query — run multiple searches with different keywords and locations in one run
Primary Use Cases
- No-risk LinkedIn data — extract job data without risking account suspension or managing sessions
- Global hiring intelligence — monitor job postings across any country or industry on LinkedIn
- Competitive analysis — track which roles competitors are hiring for and at what seniority
- Talent market research — analyze demand for specific skills, titles, and experience levels
- Job aggregation — feed LinkedIn listings into your own platform alongside other sources
API Example
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchQueries": ["product manager"],
"location": "Berlin",
"maxResultsPerQuery": 50,
"includeJobDetails": true
}'
Integrations
- n8n / Make / Zapier — trigger runs and process results via webhook
- AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
- Python / Node.js — Apify SDK for programmatic access
- Google Sheets / Airtable — export via Apify integrations
How It Compares
| Feature | NanoScrape | Login-based scrapers |
| Login required | No | Yes (account risk) |
| Docker image | ~12MB | 500MB - 2GB |
| RAM usage | 128MB | 1-4GB |
| Account ban risk | Zero | High |
| Cookie management | None needed | Manual refresh |
| Speed (1k jobs) | ~5 min | 30-90 min |
Output Fields
| Field | Type | Example |
| title | string | Senior Product Manager |
| company | string | Spotify |
| location | string | Berlin, Germany |
| seniority_level | string | Mid-Senior level |
| employment_type | string | Full-time |
| description | string | Full job description text |
| company_logo | string | https://media.licdn.com/... |
| applicant_count | number | 142 |
| url | string | https://linkedin.com/jobs/... |
| posted_at | string | 2026-04-20 |