mediar-ai/packages/skills/skills/linkedin-scraper
packages/skills/skills/linkedin-scraper/SKILL.md
# LinkedIn Profile Scraper Ethically scrape public LinkedIn profiles for lead generation and research. ## Prerequisites - Chrome browser installed - Logged into LinkedIn - List of profile URLs to scrape ## Instructions 1. Open Chrome and verify you're logged into LinkedIn: - Navigate to `linkedin.com` - Confirm your profile icon appears in the top nav - If not logged in, stop and inform user 2. For each profile URL provided: a. Navigate to the profile URL b. Wait for the p
$ install --global
skillsauthnpx skillsauth add mediar-ai/skillhubz packages/skills/skills/linkedin-scraperInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 18, 2026, 6:50 AM38.3s2 files scanned
SKILL.md
LinkedIn Profile Scraper
Ethically scrape public LinkedIn profiles for lead generation and research.
Prerequisites
- Chrome browser installed
- Logged into LinkedIn
- List of profile URLs to scrape
Instructions
-
Open Chrome and verify you're logged into LinkedIn:
- Navigate to
linkedin.com - Confirm your profile icon appears in the top nav
- If not logged in, stop and inform user
- Navigate to
-
For each profile URL provided:
a. Navigate to the profile URL
b. Wait for the profile to fully load:
- Profile photo area visible
- Name and headline visible
- Experience section loaded
c. Extract basic information:
- Full name (h1 element)
- Headline/title
- Location
- Profile photo URL
- Connection count (if visible)
d. Scroll down to load more sections
e. Extract experience:
- Current position and company
- Previous positions (last 3)
- Duration at each role
f. Extract education:
- School names
- Degrees and fields of study
- Years attended
g. Extract skills (if visible):
- Top skills listed
- Endorsement counts
h. Add a 2-3 second delay before next profile (rate limiting)
-
Compile all extracted data into requested format:
- JSON: structured object per profile
- CSV: one row per profile with columns
-
Report summary:
- Total profiles processed
- Any profiles that failed
- Output file location
Error Handling
- If "Profile not found", skip and note in output
- If rate limited, pause for 5 minutes then resume
- If logged out, stop and inform user
Notes
- Respects LinkedIn's terms of service
- Uses delays to avoid rate limiting
- Only extracts publicly visible information
- For Sales Navigator data, use the
linkedin-sales-navskill
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