Company Profiles
Canaria's company master database contains 28.5M canonical company profiles built from 70M+ LinkedIn company profiles, Indeed employer pages, and Google Maps business records. Over >90% of job postings are matched to a canonical company using fuzzy name matching with deterministic IDs, with a false merge rate below 1%. Profiles include industry classification, company size, revenue estimates, headquarters location, founding year, and office locations. Updated daily and directly joinable to the job postings dataset for company-level hiring analysis.
Company profiles are built from multiple sources (LinkedIn, Indeed, Google Maps) and reconciled into canonical entities with deterministic IDs.
Key Highlights
- 28.5M canonical company profiles in the company database, built from 70M+ LinkedIn profiles and other sources
- >90% match rate from job postings to canonical company with <1% false merge rate
- Fuzzy name matching with deterministic IDs for reliable entity resolution
- Firmographics: industry, size, revenue, headquarters, founding year, office locations
- Directly joinable to job postings for company-level hiring velocity and demand analysis
- Updated daily: last scraped within 1 day
Use Cases
- CRM enrichment and B2B lead generation
- Investment research and due diligence
- Competitive analysis and market mapping
- Hiring velocity signals by company
Sample FieldsView full schema
companyNamecompanyIndustrycompanySizecompanyRevenuecompanyTypecompanyHqLocationcompanyFoundedYearcompanyOfficeLocationsDelivery Formats
See This Data Live
Interactive charts from our 1B+ deduplicated job postings, updated daily.
Sample Records
A preview of real records from this dataset. Unlock all fields by requesting a free sample.
| Company | Industry | HQ City | HQ State | Total Postings | Avg Salary | Size | Median Salary | Top Roles | Top Skills | +15 more |
|---|---|---|---|---|---|---|---|---|---|---|
| Technology | Mountain View | CA | 216,980 | $178,213 | 10,000+ | $172,000 | Technical PM, ML Engineer, AI/ML Engineer | Python, TensorFlow, Go, K8s, GCP | … | |
| Amazon | Technology / E-commerce | Seattle | WA | 2,865,692 | $151,611 | 10,000+ | $142,000 | Applied Scientist, Area Manager, DC Ops Tech | AWS, Python, Java, SQL, Linux | … |
| JPMorgan Chase | Finance | New York | NY | 214,041 | $118,966 | 10,000+ | $105,000 | Banker Associate, Relationship Banker, Private Client Banker | Java, SQL, Python, Bloomberg, Excel | ... |
| HCA Healthcare | Healthcare | Nashville | TN | 283,905 | $89,238 | 10,000+ | $75,000 | Medical Assistant, Medical Office Specialist, Registrar | Patient Care, EMR, BLS, ACLS, Triage | ... |
| Deloitte | Consulting | New York | NY | 1,098,914 | $133,370 | 10,000+ | $125,000 | Oracle Cloud HCM Consultant, Audit PM, Senior Consultant | SAP, Oracle, Tableau, SQL, Agile | ... |
Illustrative sample records showing the delivered schema. Real records are delivered via sample request.
Relevant Solutions
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Job Market Data for Competitive Intelligence
Competitor hiring patterns, skills trends, and geographic expansion signals
Job Market Data for Recruiting & Staffing
Know where hiring is heating up, what competitors pay, and which skills are pulling demand, before your clients ask.
Job Market Data for Consulting Firms
Project-ready labor market data with no annual contract required.
Job Market Data for DEI and ESG Analytics
Benchmark employer benefits across 286M+ records: 401K, PTO, health insurance, equity compensation, and 17 more benefit types.
Job Market Data for Workforce Planning
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More Datasets
Canaria delivers five integrated datasets that join cleanly with each other.
Job Postings Data
1B+ deduplicated job postings from Indeed, LinkedIn, ATS, and 15+ sources
Salary Data
AI-predicted salaries with three-source fusion (posted, reported, BLS OES) plus parsed posted salaries and ~11M Glassdoor reports
Skills & Occupation Taxonomy
40,000+ skills, 3,400+ certifications, SOC codes, and normalized titles
Google Maps Business Data
52M detailed + 193M basic business records with ratings, reviews, and geocoordinates
Frequently Asked Questions
Common questions about the Company Profiles dataset.
- How many companies are in the database?
- 28.5M canonical company profiles, built from 70M+ LinkedIn company profiles, Indeed employer pages, and Google Maps business records.
- How accurate is company matching?
- Over >90% of job postings are matched to a canonical company using fuzzy name matching with deterministic IDs, with a false merge rate below 1%.
- What firmographic fields are included?
- Industry classification, company size, revenue estimates, headquarters location, founding year, and office locations.
- Can company profiles be joined to job postings?
- Yes. Profiles are directly joinable to the job postings dataset for company-level hiring velocity and demand analysis.
- How often is it updated?
- Updated daily, delivered as CSV or Parquet via S3, GCS, Snowflake, or SFTP.