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LinkedIn Profile Enrichment
Bulk profile extraction pipeline with employment history, skills, education, and verified contact details. Integrated directly into the client's CRM via API for automated lead enrichment.
The challenge.
A B2B sales team had 70K target leads in their CRM with only names and company names — no job titles, emails, or context for personalized outreach. LinkedIn's aggressive anti-scraping measures and login walls made bulk extraction extremely difficult without account bans.
The approach.
Residential Proxy Rotation
Deployed a pool of 500+ residential proxies with per-request rotation and geo-targeting to distribute requests across IPs. Implemented automatic proxy health checks and ban detection with instant failover.
Session & Fingerprint Management
Created persistent browser sessions with unique fingerprints (viewport, timezone, language, WebGL hash) to avoid detection patterns. Rate-limited to 80-120 profiles per session before cycling.
Structured Data Extraction
Parsed profile pages for current title, company, employment history, education, skills endorsements, and mutual connections. Handled edge cases like private profiles, abbreviated names, and non-English layouts.
CRM Integration & Dedup
Built a direct API integration with the client's HubSpot instance. Matched extracted profiles to existing CRM contacts, enriched records in-place, and flagged duplicates for manual review.
Sample output.
{
"full_name": "Rachel Torres",
"current_title": "VP of Engineering",
"company": "Datadog",
"location": "New York, NY",
"years_experience": 12,
"verified_email": "r.torres@datadog.com"
}The results.
Profiles enriched
Match rate to CRM
Account bans
Reply rate improvement
Tech stack.
Ready to get your data?
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