# Argentina Company Finder: CUIT, Registro Nacional Sociedades (`latsouth/argentina-company-finder`) Actor

Search 1.27M Argentine companies from the Registro Nacional de Sociedades by province, locality, CLAE/ISIC activity and incorporation date: CUIT, legal name, form, address, zip. CC BY 4.0 data in English. Company data only.

- **URL**: https://apify.com/latsouth/argentina-company-finder.md
- **Developed by:** [LatSouth Data](https://apify.com/latsouth) (community)
- **Categories:** Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Argentina Company Finder: CUIT, Registro Nacional de Sociedades

**By [LatSouth](https://latsouth.com).** Search **1.27 million Argentine companies** (1,269,627 CUITs) from the Ministerio
de Justicia's Registro Nacional de Sociedades (data supplied by ARCA): filter by **province, locality, CLAE / ISIC Rev.4
activity and incorporation date**, and get CUIT, legal name, legal form, address and zip code with English industry
labels. Unlike the CUIT lookup tools, this one **searches by segment**.

Company data only: no partners, directors, e-mail or phone.

| | |
|---|---|
| Rows | 1,269,627 CUITs · **1,171,126** with an active tax activity, private, not sole-owner (the default filters) |
| Data as of | 2026-09-18 snapshot; every row carries `data_as_of` |
| Price | US$0.003 per company returned: **1,000 companies = US$3** |
| Typical run | about 5 s on the platform (prefilled example 4.7 s; 100 CABA software companies since 2020 5.4 s) |

### Who it's for

- **Sales teams entering Argentina**: "software companies in CABA incorporated since 2020", "manufacturers in Córdoba
  and Santa Fe", "SAS registered in 2025".
- **Market sizing**: `OUTPUT.total_matching` counts the segment even if you pull a sample.
- **Enrichment**: start from a segment and feed CUITs, names and addresses to your CRM.

### Coverage (measured on the current release, default filters = 1,171,126 companies)

| Field | Companies | Share |
|---|---:|---:|
| ISIC division (from CLAE / AFIP F.150 codes) | 802,797 | 68.5% |
| ISIC class | 774,561 | 66.1% |
| Incorporation date | 1,158,812 | 98.9% |
| Street address, locality and zip | 1,170,928 | ~100% |
| Company size / workers | — | not published |

Software and IT services (ISIC division 62): **16,159** companies. CABA 435,702, Buenos Aires province 276,088, Córdoba
95,702. 47,644 were incorporated since 2025-01-01.

### Input examples

The Console form is prefilled with `{"isic_divisions": ["62"], "regions": ["CIUDAD_AUTONOMA_BUENOS_AIRES"], "max_results": 10}`.

**Software companies in CABA incorporated since 2020, newest first**

```json
{
  "activity_codes": ["6201", "6202", "6209"],
  "regions": ["AR-C"],
  "registered_after": "2020-01-01",
  "sort_by": "registration_date_desc"
}
```

**Manufacturers in Córdoba and Santa Fe**

```json
{
  "isic_sections": ["C"],
  "regions": ["Córdoba", "SANTA_FE"],
  "max_results": 5000
}
```

**Agribusiness in Buenos Aires province, by locality**

```json
{
  "isic_divisions": ["01", "10", "46"],
  "regions": ["BUENOS_AIRES"],
  "cities": ["Pergamino", "Junin", "Tres Arroyos"]
}
```

| Field | What it does |
|---|---|
| `regions` | Province (name with or without accents, slug, or ISO 3166-2 such as `AR-C` for CABA, `AR-X` Córdoba) |
| `cities` | Locality as published (CAPITAL FEDERAL, ROSARIO NORTE, MAR DEL PLATA SUR...) |
| `isic_sections`, `isic_divisions`, `activity_codes` | ISIC Rev.4 letter / division, or CLAE code or prefix (`620100`, `6201`); combined with OR |
| `keyword` | Substring in the English or Spanish activity label or the company name |
| `registered_after`, `registered_before` | On the date of the articles of incorporation |
| `only_active` | Default **true**: at least one active tax activity (see Limitations) |
| `exclude_public_sector`, `exclude_sole_owner` | Default **true** |
| `sort_by` | `registration_date_desc` (default), `registration_date_asc`, `tax_id` |
| `max_results` | Default 1,000 via API |

### Output

LatSouth unified schema (same names as the [LATAM Company Finder](https://apify.com/latsouth/latam-company-finder)):
`tax_id` (CUIT, 11 digits) and `tax_id_formatted` (`30-70917199-9`), `legal_name`, `legal_form` +
`legal_form_normalized`, `status`, `sector`, `activity_system` (CLAE or AFIP-F150), `activity_code_local` /
`activity_label_local`, `activity_label_en`, `isic_section` / `isic_division` / `isic_class` with English labels,
`region` (province), `region_name`, `region_iso`, `city` (locality), `address`, `zip`, `registration_date` +
`registration_date_basis`, `data_as_of`, `source`, `source_license`.

### Sources, licence and attribution

Registro Nacional de Sociedades, Ministerio de Justicia de la Nación (datos.jus.gob.ar; data supplied by ARCA),
**CC BY 4.0**; CLAE classifier by CEP XXI (datos.produccion.gob.ar), CC BY 4.0. Keep this credit (each row's `source`
holds it):

> Fuente: Ministerio de Justicia de la Nacion, Registro Nacional de Sociedades (datos.jus.gob.ar; datos suministrados por
> ARCA), corte 2026-09-18, licencia CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/),
> https://datos.jus.gob.ar/dataset/ee83de85-4305-4c53-9a9f-fd3d15e42c36/resource/13a1a66f-9f49-4d2d-9582-7b4540ef1b83/download/registro-nacional-sociedades-2026.zip.
> Clasificador CLAE: CEP XXI (datos.produccion.gob.ar), CC BY 4.0. Datos transformados (una fila por CUIT, actividad
> principal, ISIC Rev.4 en ingles, nombres de sociedades unipersonales y simples enmascarados); no es un producto oficial
> del Ministerio de Justicia ni de ARCA.

### Limitations

- **No company status**: the registry does not say whether a company is active, so there is no `is_active` field.
  `only_active` keeps companies with at least one active tax activity (`status = active_activity`, 95% of rows) — a
  weaker signal than a registry status; dissolved companies can still pass it.
- **ISIC coverage is ~68%**: 28% of companies still carry a pre-2013 AFIP code with no ISIC mapping (a strong "dormant"
  signal). The native code is always in `activity_code_local`.
- **No size or workers** and no trade name, e-mail, phone or website are published.
- Sociedades unipersonales (SAU) and sociedades simples have masked names and are excluded by default.

### Pricing

Pay per event: `company-result`, **US$0.003** per company row returned (1,000 = US$3). Set a maximum cost per run and the
actor stops when it is reached (`OUTPUT.stopped_by_budget`). Full files and custom segments:
<https://latsouth.com/data/argentina/>.

### Related

- [LATAM Company Finder](https://apify.com/latsouth/latam-company-finder): the same schema for 7 countries.
- [LATAM Company Enrichment](https://apify.com/latsouth/latam-company-enrichment): look up a list of CUITs.

### Privacy

Company data only. You are responsible for lawful use under Ley 25.326 and for honouring opt-out requests
(hello@latsouth.com). Methodology: <https://latsouth.com/methodology/>

# Actor input Schema

## `regions` (type: `array`):

Leave empty for all of Argentina. Pick from the list, or type the name (accents optional) or the ISO 3166-2 code (e.g. AR-B).

## `cities` (type: `array`):

Locality as the registry publishes it, accents optional.

## `isic_sections` (type: `array`):

ISIC Rev.4 sections (the UN industry standard every country's code was mapped to). Combined with divisions using OR.

## `isic_divisions` (type: `array`):

ISIC Rev.4 divisions, e.g. 62 = computer programming and IT consultancy, 70 = management consultancy, 46 = wholesale trade.

## `activity_codes` (type: `array`):

Native activity code or prefix, e.g. 620100 (6 digits). Combined with the ISIC filters by OR.

## `keyword` (type: `string`):

Case- and accent-insensitive substring in the English and Spanish activity labels and in the company name (e.g. software, logistica, clinica).

## `registered_after` (type: `string`):

YYYY-MM-DD, on registration_date (date of the articles of incorporation).

## `registered_before` (type: `string`):

YYYY-MM-DD, on registration_date.

## `only_active` (type: `boolean`):

Argentina's registry has no company status: this keeps companies with at least one active tax activity (a weaker signal).

## `exclude_public_sector` (type: `boolean`):

Leave out government bodies, state-owned companies and international organizations.

## `exclude_sole_owner` (type: `boolean`):

Leave out sole-owner companies (EIRL, unipersonal, EIRELI) and entities whose name is a person's name. Their names are masked (\*\*\*) anyway.

## `sort_by` (type: `string`):

Order of results.

## `max_results` (type: `integer`):

You pay per company returned (US$0.003 each: 1,000 companies = US$3). The run also stops at your spending limit. Default 1,000 when called via API without this field.

## Actor input object example

```json
{
  "regions": [
    "CIUDAD_AUTONOMA_BUENOS_AIRES"
  ],
  "isic_divisions": [
    "62"
  ],
  "only_active": true,
  "exclude_public_sector": true,
  "exclude_sole_owner": true,
  "sort_by": "registration_date_desc",
  "max_results": 10
}
```

# Actor output Schema

## `companies` (type: `string`):

Matching companies, one item per row. Download as JSON, CSV, Excel or XML via the dataset API.

## `summary` (type: `string`):

total_matching, rows pushed, data_as_of, attribution, applied input and whether the run stopped at the buyer's budget cap.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "regions": [
        "CIUDAD_AUTONOMA_BUENOS_AIRES"
    ],
    "isic_divisions": [
        "62"
    ],
    "max_results": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("latsouth/argentina-company-finder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "regions": ["CIUDAD_AUTONOMA_BUENOS_AIRES"],
    "isic_divisions": ["62"],
    "max_results": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("latsouth/argentina-company-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "regions": [
    "CIUDAD_AUTONOMA_BUENOS_AIRES"
  ],
  "isic_divisions": [
    "62"
  ],
  "max_results": 10
}' |
apify call latsouth/argentina-company-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,latsouth/argentina-company-finder"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4v4xth6Bw8mgYk5ra/builds/7RPO8P3JHhR2gKLbH/openapi.json