enrich-companies 0.1.0

Enrich a CSV of companies with revenue, employees, credit score & financial data from 250M+ business records

enrich-companies

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.csv

What it does

You 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	[phone]
email	[e-mail]
postal_code	20121
score_id	abc123

Install

pip install enrich-companies

No API key needed. Free tier: 50 lookups/month.

Usage

Basic

enrich-companies input.csv -o output.csv

Auto-detect columns

The tool auto-detects columns named company, company_name, name, business_name, organization, firma, empresa, azienda, etc.

Specify columns

enrich-companies input.csv -o output.csv --name-col "Company Name" --country-col "Country"

Semicolon-separated (European CSVs)

enrich-companies input.csv -o output.csv --delimiter ";"

Pipe to stdout

enrich-companies input.csv | head -5

Example

Input (companies.csv):

company_name,country
Ferrero,IT
Siemens,DE
LVMH,FR

Run:

enrich-companies companies.csv -o enriched.csv

Output:

  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

Data coverage

• 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

Also available

• 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

License

MIT