Install
openclaw skills install linkedin-scraperClawHub Security found sensitive or high-impact capabilities. Review the scan results before using.
Scrape LinkedIn profiles using the user's Chrome profile. Use when asked to find leads, scrape LinkedIn profiles, extract contact data from LinkedIn, or build prospect lists. Triggers include "find founders on LinkedIn", "scrape this LinkedIn profile", "get LinkedIn data for these people", "build a lead list from LinkedIn".
openclaw skills install linkedin-scraperScrape LinkedIn profiles and search results using the user's authenticated Chrome browser session. No API keys needed — uses the browser tool with the Chrome profile relay.
browser → open LinkedIn profile URL
browser → snapshot (extract structured data)
→ Parse: name, headline, title, company, location, education, experience, connections, about
→ Return structured JSON or insert into DuckDB
browser → open LinkedIn search URL with filters
browser → snapshot (extract result cards)
→ Parse each result: name, title, company, profile URL
→ For each profile URL: open → snapshot → parse full profile
→ Batch insert into DuckDB
browser → open LinkedIn company page
→ Parse: company name, industry, size, description, specialties, employee count
→ Navigate to /people tab for employee list
From a LinkedIn profile snapshot, extract these fields:
| Field | Location | Notes |
|---|---|---|
| name | Main heading h1 | Full name |
| headline | Below name | Title + Company usually |
| location | Location section | City, State/Country |
| current_title | Experience section, first entry | Most recent role |
| current_company | Experience section, first entry | Company name |
| education | Education section | School, degree, dates |
| connections | Connections count | Number or "500+" |
| about | About section | Bio text (may need "see more" click) |
| experience | Experience section | All roles with dates |
| profile_url | Browser URL bar | Canonical LinkedIn URL |
From LinkedIn search results page:
| Field | Location |
|---|---|
| name | Result card heading |
| headline | Below name in card |
| location | Card metadata |
| profile_url | Link href on name |
| mutual_connections | Card footer |
# People search
https://www.linkedin.com/search/results/people/?keywords={query}
# With filters
&geoUrn=%5B%22103644278%22%5D # United States
&network=%5B%22F%22%2C%22S%22%5D # 1st + 2nd connections
¤tCompany=%5B%22{company_id}%22%5D # Current company
&schoolFilter=%5B%22{school_id}%22%5D # School filter
# YC founders (common query)
https://www.linkedin.com/search/results/people/?keywords=Y%20Combinator%20founder
# Company employees
https://www.linkedin.com/company/{slug}/people/
When storing to DuckDB, use the Ironclaw workspace database:
-- Check if leads/contacts object exists
SELECT * FROM objects WHERE name = 'leads' OR name = 'contacts';
-- Insert via the EAV pattern or direct pivot view
INSERT INTO v_leads ("Name", "Title", "Company", "LinkedIn URL", "Location", "Source")
VALUES (?, ?, ?, ?, ?, 'LinkedIn Scrape');
If no suitable object exists, create one:
-- Use Ironclaw's object creation pattern from the dench skill
| Error | Action |
|---|---|
| "Sign in" page | LinkedIn session expired — alert user to re-login in Chrome |
| CAPTCHA / Security check | Stop immediately, wait 30+ min, alert user |
| "Profile not found" | Skip, log URL as invalid |
| Rate limit (429) | Stop, wait 15 min, retry with longer delays |
| Empty snapshot | Page still loading — wait 3s and re-snapshot |
{
"name": "Jane Doe",
"headline": "CEO at Acme Corp",
"current_title": "CEO",
"current_company": "Acme Corp",
"location": "San Francisco, CA",
"linkedin_url": "https://www.linkedin.com/in/janedoe",
"connections": "500+",
"education": [{"school": "Stanford", "degree": "BS CS", "years": "2010-2014"}],
"experience": [{"title": "CEO", "company": "Acme Corp", "duration": "2020-Present"}],
"scraped_at": "2026-02-17T14:30:00Z"
}
For bulk scrapes, report progress:
Scraping: 15/50 profiles (30%) — Last: Jane Doe (Acme Corp)
Rate: ~4 profiles/min — ETA: 9 min remaining