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 |
+39 02 1234567 |
email |
info@example.com |
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
1 maintainer
Metadata
1 maintainer
Release files for enrich-companies 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| enrich_companies-0.1.0.tar.gz | 5.7 kB | Without provenance | Details for enrich_companies-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| enrich_companies-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for enrich_companies-0.1.0-py3-none-any.whl |
Total release size: 12.1 kB
Release files / enrich_companies-0.1.0.tar.gz
| Download URL | enrich_companies-0.1.0.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
77e6404f24235ea75afd8547a6ae01a04c98dbb56a2a1123fa2fc68de659784a
|
|
BLAKE2b-256 checksum How to use checksums |
2f398eaa8cb1533e6c87fcb21f1f7816168eaeb1b3c12eaed4416cc64675f155
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / enrich_companies-0.1.0-py3-none-any.whl
| Download URL | enrich_companies-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
45fb6772d1a2f767b1456e2d7d0ed703904119b3bdb72d98bebde0471975f04f
|
|
BLAKE2b-256 checksum How to use checksums |
fde18c502a6f9a6c3b20be1dcfebb393cb0a3974b32f9f23e9f0f4eea910a401
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for enrich-companies 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
