Structured company data from Owler - name, industry sectors, estimated revenue and employee count, named competitors, website, and headquarters location. Built for sales intelligence, account targeting, and competitive benchmarking.
Prioritise accounts using estimated revenue, employee size, and industry signals.
Use named competitor lists to map the landscape around any company.
Segment target lists by revenue band, employee count, and headquarters location.
Profile industries and regions using consistent firmographic attributes.
Add revenue, size, website, and location fields to existing accounts.
Use firmographics and competitor lists as features for scoring and matching.
Every record is structured and ready to join against your CRM, data warehouse, or enrichment pipeline.
| Field | Type | Description | Coverage |
|---|---|---|---|
| company_name | string | Company name | 90%+ |
| industry_sectors | string | Industry sectors | 90%+ |
| industries | string | Primary industry | 68%+ |
| revenue | integer | Estimated annual revenue (USD) | 100% |
| employee_count | integer | Estimated employee count | 100% |
| competitors | string | Named competitors | 90%+ |
| website | string | Company website | 90%+ |
| city | string | City | 57%+ |
| state | string | State or region | 58%+ |
| country | string | Country | 58%+ |
| zipcode | string | Postal code | 57%+ |
| street_address | string | Street address | 56%+ |
| url | string | Owler company page URL | 100% |
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.