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
11
Total users
1
Monthly active users
6 months ago
Last modified
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LinkedIn Jobs Scraper ๐ผ
Extract job postings from LinkedIn without needing a LinkedIn account. Get job titles, companies, locations, salaries, and direct application links.
โจ Features
- ๐ Search any job title or keywords
- ๐ Filter by location (city, country, or "Remote")
- ๐ Filter by posting date (24h, week, month)
- ๐ฐ Extract salary info when available
- ๐ Direct links to job postings
- ๐ Export to JSON, CSV, or Excel
- ๐ก๏ธ Anti-detection built-in (fingerprint rotation, human-like behavior)
๐ฏ 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
๐ฅ 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) |
๐ค Output Example
{"title": "Senior Software Engineer","company": "Tech Startup GmbH","location": "Berlin, Germany","salary": "โฌ70,000 - โฌ90,000","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 |
๐ฐ 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
๐ก๏ธ Anti-Detection Features
This scraper includes advanced anti-detection to avoid being blocked:
- โ Browser fingerprint rotation (5 realistic profiles)
- โ Canvas/WebGL/Audio fingerprint spoofing
- โ Human-like mouse movements and scrolling
- โ Randomized delays between actions
- โ Residential proxy support
- โ Full HTTP header spoofing
- โ Chrome automation flags hidden
- โ Respects user cost limits (stops gracefully when limit reached)
๐ก 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
๐ 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
โ ๏ธ 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.
๐ Support
- Issues? Open a GitHub issue
- Questions? Contact support@webpowers.org
- Feature requests? We'd love to hear from you!
๐ Changelog
v1.4.0 (2026-02-01)
- Added cost limit handling โ 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 โค๏ธ by webpowers.org