# RUES Colombia Company Registry & NIT Scraper (`scrapers_lat/rues-scraper`) Actor
Scrape Colombian company registry records from RUES by name or NIT. Extract razonSocial, NIT, estado, entity type, chamber of commerce, matricula, CIIU activity, municipality and department. Export to JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/rues-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/3mBjrS0LTgiZh17UP/input)
## RUES Colombia Company Registry & NIT Scraper
> Extract Colombian company registry records from RUES, the official Registro Único Empresarial y Social covering more than 1.8 million active companies nationwide.
34 fields per record
Colombia nationwide coverage
JSON / CSV / Excel output formats
### What you get
Each record is a structured company profile from the official Colombian merchant registry, ready to load into any CRM, database, or risk model:
- **razonSocial**: legal name of the company as registered
- **nit**: Colombian tax identification number (NIT)
- **numeroIdentificacion**: full padded identification number from the registry
- **digitoVerificacion**: NIT verification digit
- **estado**: registration status (active, cancelled, inactive)
- **tipoEntidad**: legal entity type (SAS, limited company, sole proprietorship, and others)
- **camara**: chamber of commerce where the company is registered
- **matricula**: mercantile registration number
- **fechaMatricula**: registration date
- **municipio**: municipality of the company
- **departamento**: department (state) of the company
- **ciiu**: primary economic activity code (CIIU)
- **id**: unique RUES registry identifier
- **url**: direct link to the company page on RUES
- **sigla\***: company acronym or trade name, when registered
- **categoria\***: registration category from the registry
- **tipoSociedad\***: type of company (e.g. commercial company)
- **organizacionJuridica\***: legal organization form (e.g. SAS, cooperative, associative work enterprise)
- **ciiuDescripcion\***: full description of the primary economic activity
- **ciiuSecundario\***: secondary economic activity code, when present
- **ciiuSecundarioDescripcion\***: description of the secondary economic activity
- **ciiu3\***: third economic activity code, when present
- **ciiu3Descripcion\***: description of the third economic activity
- **ciiu4\***: fourth economic activity code, when present
- **ciiu4Descripcion\***: description of the fourth economic activity
- **fechaRenovacion\***: last renewal date of the registration
- **ultimoAnoRenovado\***: last year the registration was renewed
- **fechaVigencia\***: validity date of the registration
- **fechaCancelacion\***: cancellation date, for cancelled companies
- **motivoCancelacion\***: reason for cancellation, for cancelled companies
- **fechaActualizacion\***: date the registry record was last updated
- **emprendimientoSocial\***: social-enterprise indicator (true/false), when reported
- **extincionDominio\***: asset-forfeiture indicator (true/false), when reported
- **urlVentaCertificados\***: official URL to purchase the company's registry certificate
- **observedAt**: when this record was last seen by the scraper
*\*These fields only appear when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| KYC and AML screening | Compliance teams verifying Colombian counterparties |
| Credit and risk analysis | Lenders and insurers assessing company status |
| Due diligence | Law firms and M&A analysts checking registrations |
| B2B lead generation | Sales teams building Colombian prospect lists |
| Market research | Analysts mapping sectors by CIIU activity code |
### Frequently Asked Questions
**What companies does the RUES registry cover?**
RUES is the unified business registry for all of Colombia, consolidating data from every chamber of commerce in the country. It covers more than 1.8 million active companies plus cancelled and inactive registrations, including SAS, limited companies, sole proprietorships, branches, and agencies.
**Can I search by NIT tax-ID or only by company name?**
Both. Enter a numeric NIT and the scraper looks up that exact tax-ID; enter text and it searches by legal name. You can mix names and NITs in a single run by adding multiple search terms.
**How many results can I get per search term?**
The RUES search returns up to 500 matches per term, and the scraper paginates automatically. Use the Max Items input to cap the total, or raise it to collect every match across all of your terms.
**What is the difference between the basic and full-detail output?**
The basic run returns identity and location fields straight from search. Turn on Fetch Full Details and the scraper pulls each company's complete registry record, adding the activity descriptions, renewal and validity dates, category, and acronym.
**Why are some contact fields like address or phone missing?**
The public RUES API does not expose commercial address, phone, or email; that information is only available on paid official certificates. The scraper ships only the fields the registry publishes openly, so those private fields are intentionally omitted.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [RUES Bancolombia Company Registry Record Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-bancolombia-company-record): Look up Bancolombia in the Colombian RUES registry to get NIT, legal status, chamber and activity codes for KYC and due diligence.
- [RUES Ecopetrol Company Registry Record Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-ecopetrol-company-record): Search Ecopetrol in the Colombian RUES registry for NIT, status, chamber and CIIU activity data for compliance and research.
- [RUES Avianca Company Registry Record Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-avianca-company-record): Find Avianca records in the Colombian RUES registry with NIT, legal status and activity codes for KYC and risk analysis.
- [RUES Rappi Company Registry Record Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-rappi-company-record): Look up Rappi in the Colombian RUES registry to get NIT, status, chamber and activity data for due diligence and leads.
- [RUES Grupo Nutresa Company Registry Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-grupo-nutresa-company-record): Search Grupo Nutresa in the Colombian RUES registry for NIT, legal status and CIIU codes for compliance and research.
- [RUES Cementos Argos Company Registry Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-cementos-argos-company-record): Find Cementos Argos in the Colombian RUES registry with NIT, status and activity codes for KYC and market analysis.
- [RUES Postobon Company Registry Record Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-postobon-company-record): Look up Postobon in the Colombian RUES registry to get NIT, legal status, chamber and activity data for due diligence.
- [RUES NIT 890903938 Company Lookup Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-nit-890903938-lookup): Look up Colombian NIT 890903938 in the RUES registry for legal name, status and activity codes for KYC and verification.
- [RUES NIT 890900608 Company Lookup Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-nit-890900608-lookup): Search Colombian NIT 890900608 in the RUES registry for legal name, status and chamber data for compliance and screening.
- [RUES NIT 860034313 Company Lookup Scraper](https://apify.com/scrapers_lat/rues-scraper/examples/rues-nit-860034313-lookup): Look up Colombian NIT 860034313 in the RUES registry for legal name, status and activity codes for KYC and due diligence.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [SUNAT Peru RUC Scraper](https://apify.com/scrapers_lat/sunat-scraper): Extract Peru SUNAT taxpayer records by RUC or company name: legal name, status, tax address, CIIU...
- [Colombia SECOP Scraper](https://apify.com/scrapers_lat/colombia-secop-scraper): Extract Colombia public contracts from SECOP II (datos.gov.co): entity and supplier, NIT, contract...
- [Chile Mercado Publico Supplier & Award Scraper](https://apify.com/scrapers_lat/mercado-publico-scraper): Extract Chile state suppliers from Mercado Publico and ChileProveedores with public-procurement...
- [BCRA Argentina Debtor & Credit Risk Scraper](https://apify.com/scrapers_lat/bcra-deudores-scraper): Extract Argentina BCRA Central de Deudores credit-risk records by CUIT or CUIL: debtor name...
- [DataJud Brazil Court Case Scraper](https://apify.com/scrapers_lat/datajud-scraper): Extract Brazilian court process records from the CNJ DataJud public database across 90+ federal...
- [SAT Mexico 69-B Taxpayer Blacklist Scraper](https://apify.com/scrapers_lat/sat-69b-scraper): Extract Mexico SAT Lista 69-B (EFOS) blacklist of taxpayers presumed or confirmed to issue fake...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with RUES or Confecámaras. It only accesses data that is publicly available on the platform. Use it in accordance with RUES's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of records to collect across all search terms. Optional.
## `withDetails` (type: `boolean`):
When enabled, the scraper also fetches the full registry record for each company (address, contact, secondary activity, renewal and validity dates). Slower but richer.
## `searchTerms` (type: `array`):
Company names or NIT tax-IDs to search for in the RUES registry. Numeric terms are treated as NIT searches; text terms search by legal name. Add one or more.
## `status` (type: `array`):
Filter by merchant registration status. Defaults to active companies only.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"searchTerms": [
"exito"
],
"status": [
"ACTIVA"
]
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10,
"searchTerms": [
"exito"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/rues-scraper").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 10,
"searchTerms": ["exito"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/rues-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10,
"searchTerms": [
"exito"
]
}' |
apify call scrapers_lat/rues-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/rues-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "RUES Colombia Company Registry & NIT Scraper",
"description": "Scrape Colombian company registry records from RUES by name or NIT. Extract razonSocial, NIT, estado, entity type, chamber of commerce, matricula, CIIU activity, municipality and department. Export to JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "P2hzc3fIBfpDpp6R8"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~rues-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-rues-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~rues-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-rues-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~rues-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-rues-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of records to collect across all search terms. Optional."
},
"withDetails": {
"title": "Fetch Full Details",
"type": "boolean",
"description": "When enabled, the scraper also fetches the full registry record for each company (address, contact, secondary activity, renewal and validity dates). Slower but richer.",
"default": true
},
"searchTerms": {
"title": "Search Terms",
"type": "array",
"description": "Company names or NIT tax-IDs to search for in the RUES registry. Numeric terms are treated as NIT searches; text terms search by legal name. Add one or more.",
"items": {
"type": "string"
}
},
"status": {
"title": "Registration Status",
"type": "array",
"description": "Filter by merchant registration status. Defaults to active companies only.",
"items": {
"type": "string",
"enum": [
"ACTIVA",
"CANCELADA",
"NO ACTIVA"
],
"enumTitles": [
"Active",
"Cancelled",
"Inactive"
]
},
"default": [
"ACTIVA"
]
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```