Structured public profile data covering professionals across 200+ countries — used for enrichment, prospecting, talent sourcing, and AI training.
Enrich CRM records with current titles, employer history, and seniority. Build prospect lists filtered by role, industry, company size, and location.
Source candidates at scale without manual LinkedIn searches. Filter by skills, education, location, and career trajectory.
Track hiring trends, employee movement, and talent concentration by region, function, or industry vertical.
Large-scale structured professional data for NLP models, entity resolution, and career path prediction tools.
Match and enrich existing contact databases with fresh LinkedIn data — headline, employer, location, and skills.
Monitor employee growth and attrition at public companies as a leading signal for financial analysis and due diligence.
Every record is structured and ready to join against your CRM, data warehouse, or enrichment pipeline.
| Field | Type | Description | Coverage |
|---|---|---|---|
| full_name | string | Full name as shown on public profile | 99%+ |
| profile_url | string | Public LinkedIn profile URL | 100% |
| headline | string | Current professional headline | 95%+ |
| location | string | City, region, and country | 90%+ |
| current_employer | string | Current company name | 88%+ |
| job_title | string | Current job title | 87%+ |
| employment_history | array | Past roles, companies, and date ranges | 75%+ |
| industry | string | Self-declared industry category | 80%+ |
| skills | array | Listed skills and endorsements | 70%+ |
| education | array | Schools, degrees, and graduation years | 72%+ |
| connections_count | integer | Network size (where public) | 60%+ |
| profile_id | string | Unique profile identifier | 100% |
| awards | list or dict | List of awards for profile | 3%+ |
| certifications | json/text | List of certifications for profile | 9%+ |
| languages | list or dict | Reported languages for profile | 10%+ |
| patents | json/text | Number of patents associated with the profile | 1%+ |
| phone_numbers | list or dict | Person phone number | 6%+ |
| publications | json/text | List of publications for profile | 100.0% |
| seniority | string | Career seniority classification | 60%+ |
| seniority_level | string | Detailed seniority level designation | 60%+ |
| timestamp | date/time | Record collection timestamp | 100.0% |
Coverage = percentage of records with that field populated. Download sample to inspect full schema →
We work around your infrastructure, not the other way around.
Complete records as a bulk file in your preferred format.
Filtered by any field in the schema.
Weekly or monthly delta updates.
Real-time access against specific identifiers.
Delivered in whatever format your pipeline accepts.
Flat file for Excel, Python, or any data tool.
Nested records for databases or pipelines.
Direct drop into your cloud storage or warehouse.
Download a free 1,000-record sample or talk to us about a custom subset for your use case.
