Structured public company data from LinkedIn covering industry, employee count, headquarters, hiring signals, and more. Built for sales teams, recruiters, and market researchers who need reliable company intelligence at scale.
Build targeted account lists filtered by industry, company size, location, and hiring activity. Feed directly into your CRM or outreach sequences.
Enrich existing company records with current headcount, industry classification, headquarters location, and LinkedIn company URL.
Map competitive landscapes, identify target accounts by sector, and track company growth signals across geographies.
Identify companies hiring in specific functions or locations. Track employer growth as a signal for candidate targeting.
Monitor headcount growth and hiring patterns at portfolio or target companies as an alternative data signal.
Segment total addressable market by company size, industry, and geography to prioritise sales territories.
Every record is structured and ready to join against your CRM, data warehouse, or enrichment pipeline.
| Field | Type | Description | Coverage |
|---|---|---|---|
| company_name | string | Full company name as shown on LinkedIn | 99%+ |
| linkedin_url | string | Public LinkedIn company page URL | 100% |
| industry | string | Self-declared industry classification | 92%+ |
| company_size | string | Employee band (e.g. 51-200, 1001-5000) | 90%+ |
| employee_count | integer | Estimated employee count where available | 85%+ |
| headquarters | string | City, region, and country of HQ | 88%+ |
| website | string | Company website URL | 80%+ |
| description | string | Company description from LinkedIn profile | 82%+ |
| hiring_activity | boolean | Whether company is actively posting jobs | 75%+ |
| founded_year | integer | Year company was founded | 65%+ |
| company_type | string | Public, private, non-profit, etc. | 70%+ |
| company_id | string | Unique LinkedIn company identifier | 100% |
| alexa_ranking | integer number | Global website traffic ranking | 0.1%+ |
| annual_revenue | integer number | Estimated annual company revenue | 3%+ |
| primary_domain | string | Primary company website domain | 65%+ |
| retail_location_count | integer number | Number of retail locations | 1%+ |
| source | string | Original data source | 40%+ |
| total_funding | integer number | Total funding raised to date | 1%+ |
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 sample or talk to us about a custom subset for your use case.
