Scrape LinkedIn Profiles with AI
Extract profile data, job titles, companies, and connections from LinkedIn using Apify scrapers and Claude Code.
How scraped LinkedIn data flows across your company
One scrape generates intelligence for every department — automatically
- → Build prospect lists by title/company
- → ICP matching and lead scoring
- → Personalized connection request drafts
- → Territory and account mapping
- → Audience research by role/industry
- → Persona building from real data
- → Content targeting by seniority
- → Thought leader identification
- → Market mapping by geography
- → Hiring signal detection
- → Competitive headcount tracking
- → TAM estimation by segment
- → Contact enrichment with work history
- → Company intel stored
- → LinkedIn URLs linked to records
- → Duplicate detection and merge
- → Build prospect lists by title/company
- → ICP matching and lead scoring
- → Personalized connection request drafts
- → Territory and account mapping
- → Audience research by role/industry
- → Persona building from real data
- → Content targeting by seniority
- → Thought leader identification
- → Market mapping by geography
- → Hiring signal detection
- → Competitive headcount tracking
- → TAM estimation by segment
- → Contact enrichment with work history
- → Company intel stored
- → LinkedIn URLs linked to records
- → Duplicate detection and merge
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Phantombuster
- × Subscription fees
- × Data locked in their dashboard
- × Per-seat pricing
- × Export limits
SoloStack + Claude Code
- ✓ Pay-per-use, no subscription
- ✓ Your data in your repo
- ✓ Zero vendor lock-in
- ✓ Unlimited exports
What this skill file teaches Claude
Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.
Full Profile Extraction
Pull name, headline, current company, location, about section, and profile photo URL from any public LinkedIn profile.
Work Experience History
Extract complete employment history — company names, job titles, date ranges, and role descriptions for career pattern analysis.
Education & Certifications
Capture university names, degrees, fields of study, graduation years, and professional certifications.
Skills & Endorsements
Pull listed skills with endorsement counts to understand expertise areas and identify technical decision-makers.
Connection Count & Activity
See connection volume (500+ indicator), recent post activity, and engagement levels to gauge influence and responsiveness.
Bulk URL Processing
Feed in hundreds of LinkedIn profile URLs from Sales Navigator searches, event attendee lists, or company pages and scrape them all in one run.
anchor/linkedin-people-profiles-scraper · ~$1.50 per 1,000 profiles Build it with plain English
Tell Claude Code what to do. It handles the rest.
Scraping VP Marketing profiles at Series B SaaS in SF... ✓ 143 profiles found and extracted ✓ 143/143 have current company data ✓ 128 have 500+ connections ✓ Average tenure in current role: 2.3 years ✓ Top previous companies: Google (12), Meta (8), Salesforce (7) Data saved to vp-marketing-sf-saas.json Next: Score against ICP and draft personalized connection requests?
Processing 200 LinkedIn profile URLs... ✓ 194/200 profiles successfully scraped (6 private/deleted) ✓ 194 full work histories extracted ✓ 187 education records captured ✓ Average experience: 12.4 years ✓ Most common skills: SaaS (89), B2B Marketing (76), Growth (71) Exported to linkedin-profiles-enriched.csv Next: Match against CRM contacts to find existing relationships?
Scraping fintech CTOs in London (500+ connections)... ✓ 87 matching profiles extracted ✓ 87 current company names captured ✓ 72 have engineering backgrounds ✓ 45 previously founded a company ✓ Top universities: Imperial (14), UCL (11), Cambridge (9) Data saved to fintech-ctos-london.json Next: Enrich with company funding data and draft outreach?
What you can build with this
B2B lead generation
Build targeted prospect lists by job title, company, and industry. Extract contact context for personalized outreach that references their background and experience.
Recruiting & talent sourcing
Scrape candidate profiles matching your hiring criteria. Analyze work history patterns, skills overlap, and education to shortlist the best fits before reaching out.
Competitive intelligence
Track competitor hiring patterns by scraping their employees' profiles. Identify new teams being built, leadership changes, and strategic shifts before they're announced.
Investor & partner research
Build dossiers on potential investors, advisors, or partners. Understand their portfolio, background, and connections to craft warm introductions.
Things to know
LinkedIn aggressively rate-limits automated access. Use reasonable batch sizes (200-500 profiles per run) and space runs at least 30 minutes apart to avoid account restrictions.
Profiles set to private or with restricted visibility will return limited data. Expect 3-5% of URLs to return incomplete results.
Never use scraped LinkedIn data for unsolicited bulk email — this violates CAN-SPAM and GDPR. Use it for personalized, one-to-one outreach only.
Get the full skill file
Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.
Common questions
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