LinkedIn Jobs Scraper
Pricing
from $5.00 / 1,000 results
LinkedIn Jobs Scraper
Extract job postings from LinkedIn without needing a LinkedIn account. Get job titles, companies, locations, salaries, and direct application links. Perfect for job seekers, recruiters, and HR teams. Features: Anti-detection, proxy support, human-like behavior simulation.
Pricing
from $5.00 / 1,000 results
Rating
4.0
(1)
Developer
Max
Maintained by CommunityActor stats
1
Bookmarked
9
Total users
1
Monthly active users
9 months ago
Last modified
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LinkedIn Jobs Scraper 💼
Extract job postings from LinkedIn without needing a LinkedIn account. Get job titles, companies, locations, salaries, and direct application links.
✨ Features
- 🔍 Search any job title or keywords
- 📍 Filter by location (city, country, or "Remote")
- 📅 Filter by posting date (24h, week, month)
- 💰 Extract salary info when available
- 🔗 Direct links to job postings
- 📊 Export to JSON, CSV, or Excel
- 🛡️ Anti-detection built-in (fingerprint rotation, human-like behavior)
🎯 Use Cases
- Job Seekers: Monitor new job postings in your field
- Recruiters: Research market trends and competitor hiring
- HR Teams: Analyze salary benchmarks by role/location
- Market Research: Track hiring trends by industry
- Lead Generation: Find companies that are actively hiring
📥 Input Example
{"searchQuery": "Software Developer","location": "Berlin","maxResults": 50,"datePosted": "past-week"}
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
searchQuery | string | "Software Developer" | Job title or keywords to search |
location | string | "Berlin" | City, country, or "Remote" |
maxResults | number | 25 | Maximum jobs to extract (1-500) |
datePosted | string | "past-week" | Filter: "past-24h", "past-week", "past-month" |
useProxy | boolean | true | Use residential proxies (recommended) |
📤 Output Example
{"title": "Senior Software Engineer","company": "Tech Startup GmbH","location": "Berlin, Germany","salary": "€70,000 - €90,000","postedDate": "2026-01-15","postedText": "2 days ago","url": "https://linkedin.com/jobs/view/...","scrapedAt": "2026-01-17T10:30:00Z"}
Output Fields
| Field | Description |
|---|---|
title | Job title |
company | Company name |
location | Job location |
salary | Salary range (when available) |
postedDate | ISO date when posted |
postedText | Human-readable posting time ("2 days ago") |
url | Direct link to job posting |
scrapedAt | Timestamp of extraction |
💰 Pricing
This Actor uses the pay-per-result pricing model:
- Free tier: First 25 jobs included
- Pay per result: $0.005 per job extracted (~$0.50 per 100 jobs)
Example costs:
- 100 jobs = ~$0.50
- 500 jobs = ~$2.50
- 1,000 jobs = ~$5.00
🛡️ Anti-Detection Features
This scraper includes advanced anti-detection to avoid being blocked:
- ✅ Browser fingerprint rotation (5 realistic profiles)
- ✅ Canvas/WebGL/Audio fingerprint spoofing
- ✅ Human-like mouse movements and scrolling
- ✅ Randomized delays between actions
- ✅ Residential proxy support
- ✅ Full HTTP header spoofing
- ✅ Chrome automation flags hidden
- ✅ Respects user cost limits (stops gracefully when limit reached)
💡 Tips for Best Results
- Be specific with job titles for better relevance
- Use "Remote" as location to find remote jobs
- Start with fewer results to test your search
- Use proxies (enabled by default) for reliability
- Schedule runs for automated job alerts
- Export to Google Sheets for tracking applications
🔄 Integrations
- Zapier: Trigger actions when new jobs are found
- Google Sheets: Auto-export results
- Slack/Email: Get notifications for new postings
- Webhooks: Send data to your own systems
⚠️ Legal Notice
This tool extracts publicly available job postings from LinkedIn's public pages. No login or authentication is required or used.
Users are responsible for:
- Complying with LinkedIn's Terms of Service
- Respecting rate limits and fair usage
- Following applicable data protection laws (GDPR, etc.)
This Actor should be used for legitimate purposes such as job searching, market research, and recruitment analytics.
🆘 Support
- Issues? Open a GitHub issue
- Questions? Contact support@webpowers.org
- Feature requests? We'd love to hear from you!
📈 Changelog
v1.4.0 (2026-02-01)
- Added cost limit handling — Respects user's max charge limit
- Graceful stop when approaching budget limit
- Better logging and run summary
v1.3.0 (2026-02-01)
- Fixed dataset schema format
- Added table view for dataset
v1.0.0 (2026-02-01)
- Initial release
- Full anti-detection suite
- Support for all major locations
- Date filtering (24h, week, month)
- Proxy support
Made with ❤️ by webpowers.org