Enrich a CSV of company names with revenue, employees, credit score, and financial data from 250M+ business records across 50+ countries.
Zero dependencies. Zero config. Just works.
pip install enrich-companies
enrich-companies companies.csv -o enriched.csvYou give it a CSV with company names. It gives you back the same CSV with 16 extra columns:
| Added Column | Example |
|---|---|
revenue |
12500000 |
employees |
340 |
health_score |
78.5 |
nace_code |
56.10 |
nace_description |
Restaurants |
legal_form |
S.r.l. |
status |
active |
city |
Milan |
country |
IT |
vat_number |
IT12345678901 |
founded |
2015-03-12 |
website |
example.com |
phone |
+39 02 1234567 |
email |
info@example.com |
postal_code |
20121 |
score_id |
abc123 |
pip install enrich-companiesNo API key needed. Free tier: 50 lookups/month.
enrich-companies input.csv -o output.csvThe tool auto-detects columns named company, company_name, name, business_name, organization, firma, empresa, azienda, etc.
enrich-companies input.csv -o output.csv --name-col "Company Name" --country-col "Country"enrich-companies input.csv -o output.csv --delimiter ";"enrich-companies input.csv | head -5Input (companies.csv):
company_name,country
Ferrero,IT
Siemens,DE
LVMH,FRRun:
enrich-companies companies.csv -o enriched.csvOutput:
Enriching 3 companies from companies.csv...
[1/3] Ferrero — Revenue: 17000000000 | Employees: 41000 | Score: 92
[2/3] Siemens — Revenue: 72000000000 | Employees: 311000 | Score: 88
[3/3] LVMH — Revenue: 86000000000 | Employees: 213000 | Score: 95
Done! 3/3 companies enriched
Output: enriched.csv
- 250M+ companies across 50+ countries
- Strong coverage: IT, DE, FR, ES, UK, NL, BE, AT, CH, CZ, PL, RO, US, and more
- Sources: official business registries, financial filings, public records
- Updated regularly
- Node.js/npm:
npx enrich-companies companies.csv— enrich-companies on npm - Python SDK:
pip install scala-score— scala-score on PyPI - MCP Server:
scala-mcp-server— let AI agents search company data - Chrome Extension: Score Company Lookup
- Dataset: 250M companies on Kaggle | HuggingFace
MIT