# Czech Company Registry Scraper (ARES, ICO, Officers) (`scrapers_lat/czech-ares-companies-scraper`) Actor
Search Czech company records from the official ARES registry by name or ICO. Get company name, ICO, VAT number, legal form, registered address, NACE activity, status, incorporation date and statutory officers (directors and board members). Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/czech-ares-companies-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $12.75 / 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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## Czech Company Registry Scraper (ARES, ICO, Officers)
> Look up any Czech company by name or ICO and get clean, structured records: identifiers, VAT number, legal form, registered address, activity codes, status and the statutory officers behind the business. Ideal for KYB, lead generation and due diligence.
Search or ICO lookup by name or identifier
Officers directors & board members
JSON / CSV / Excel output formats
### What you get
Each record is one Czech company, ready for a CRM, a KYB check or a spreadsheet:
- **ico**: the company identifier
- **name**: registered company name
- **vatNumber**: VAT number (DIC) when registered
- **status**: active or dissolved
- **legalFormCode**: legal form of the entity
- **address**, **street**, **city**, **postalCode**, **region**, **district**, **country**: registered seat
- **naceCodes**: economic activity codes
- **foundedDate**, **dissolvedDate**: lifecycle dates
- **financialOffice**: assigned tax office
- **shareCapital**: registered share capital when available
- **fileNumber**: commercial register file reference
- **officers**: each statutory officer with **name**, **role**, **since**, **birthDate**, **address** and **citizenship** (or company name and ICO for corporate officers)
- **registryUrl**: link to the public registry entry
- **lastUpdated** and **observedAt**: freshness
### Who is it for
| Use case | Who benefits |
|---|---|
| KYB and compliance | Teams verifying Czech counterparties and their directors |
| Lead generation | Sales teams building lists of companies and decision makers |
| Due diligence | Analysts checking status, officers and registered details |
| Data enrichment | Builders adding company identifiers and VAT to their records |
### How to use it
1. Add one or more **company names** (for example `Skoda Auto`) or **ICO numbers** (for example `00177041`).
2. Keep **Include officers** on to attach the directors and board members of each company.
3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Can I search by name or do I need the ICO?**
Both. A name runs a registry search and returns every matching company; an 8-digit ICO fetches that exact company.
**Does it include company officers?**
Yes. With Include officers on, each company carries its current statutory officers with their role and, for individuals, birth date, address and citizenship.
**What does status mean?**
Active means the company is still on the register; dissolved means it has a recorded dissolution date.
**How fresh is the data?**
Every record is read live at run time and carries the registry's own last-updated date plus an observedAt timestamp.
### Related scrapers
- [France Company Registry Scraper](https://apify.com/scrapers_lat/france-company-search-scraper)
- [Spain BORME Company Registrations Scraper](https://apify.com/scrapers_lat/spain-borme-scraper)
- [UK Companies House Scraper](https://apify.com/scrapers_lat/uk-companies-house-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the ARES registry or any Czech government body. It only accesses publicly available company data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxCompanies` (type: `integer`):
Maximum number of company records to collect. Optional.
## `queries` (type: `array`):
One or more Czech company names (for example 'Skoda Auto') or 8-digit ICO identifiers (for example '00177041'). Names run a registry search; ICO numbers fetch that exact company.
## `includeOfficers` (type: `boolean`):
Also fetch the statutory officers (directors and board members) for each company from the public register.
## Actor input object example
```json
{
"maxCompanies": 50,
"queries": [
"Skoda Auto",
"00177041"
],
"includeOfficers": true
}
````
# 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 = {
"maxCompanies": 50,
"queries": [
"Skoda Auto",
"00177041"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/czech-ares-companies-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 = {
"maxCompanies": 50,
"queries": [
"Skoda Auto",
"00177041",
],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/czech-ares-companies-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 '{
"maxCompanies": 50,
"queries": [
"Skoda Auto",
"00177041"
]
}' |
apify call scrapers_lat/czech-ares-companies-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/czech-ares-companies-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Czech Company Registry Scraper (ARES, ICO, Officers)",
"description": "Search Czech company records from the official ARES registry by name or ICO. Get company name, ICO, VAT number, legal form, registered address, NACE activity, status, incorporation date and statutory officers (directors and board members). Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "Aapg152kBGFs4kSSc"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~czech-ares-companies-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-czech-ares-companies-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~czech-ares-companies-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-czech-ares-companies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~czech-ares-companies-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-czech-ares-companies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxCompanies": {
"title": "Max Companies",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of company records to collect. Optional."
},
"queries": {
"title": "Company names or ICO numbers",
"type": "array",
"description": "One or more Czech company names (for example 'Skoda Auto') or 8-digit ICO identifiers (for example '00177041'). Names run a registry search; ICO numbers fetch that exact company.",
"items": {
"type": "string"
}
},
"includeOfficers": {
"title": "Include officers",
"type": "boolean",
"description": "Also fetch the statutory officers (directors and board members) for each company from the public register.",
"default": true
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```