# North Data Scraper - EU Company Register & Financials (`scrapewise/northdata-scraper`) Actor

Scrape North Data company profiles by name or link: register court and number, legal form, status, address, industry, corporate purpose, capital, revenue, earnings, employees, balance sheet, history and M\&A for Germany and 30+ European countries. Company data only. Error rows are free.

- **URL**: https://apify.com/scrapewise/northdata-scraper.md
- **Developed by:** [Scrapewise Data](https://apify.com/scrapewise) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.32 / 1,000 company delivereds

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/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

## North Data Scraper: European company register data, financials and history

North Data Scraper collects **company profiles from northdata.com** for the names or links you give it, without a
North Data account, cookies or a browser. Each company comes back as one clean row: the official name and former
names, legal form, status (active, in liquidation, terminated), the register court and number, EUID and LEI, the
registered address, industry, corporate purpose, share capital, the published financial figures by year (revenue,
earnings, total assets, employees), the balance sheet when North Data shows it, and the dated register history:
registration, name, address and capital changes, statute filings, trademarks, public funding, mergers and acquisitions.

It covers Germany in depth (Handelsregister data) and the other registers North Data indexes: Austria, Switzerland,
France, the Netherlands, Belgium, Luxembourg, the UK, the Nordics, Spain, Poland and more.

It is used for KYB and supplier checks, B2B lead lists with register numbers, credit and risk screening, M\&A and
investor research, market maps by industry, and to enrich a CRM with the legal data of each account.

**Company data only.** Names of managing directors, board members, shareholders who are people and authorized
signatories are never delivered, and search results that are people are skipped.

### At a glance

| What | Price |
|---|---|
| Company delivered | **US$ 3.90 per 1,000 companies** (US$ 0.0039 each) |
| Run start | US$ 0.005 per run |

- 100 companies = **US$ 0.395** (100 x 0.0039 + 0.005).
- Error rows, duplicates and companies skipped by the status filter are never charged.
- `maxItems` is a hard cap, and a spending limit set on the run stops it cleanly with everything delivered so far.
- The proxy is included in the price.

### Quick start

One company name, German companies only:

```json
{
  "searchQueries": ["Siemens"],
  "countries": ["DE"],
  "maxItems": 20
}
```

Several names, active companies only, across Germany and Austria:

```json
{
  "searchQueries": ["Bosch", "solar energy", "logistics"],
  "countries": ["DE", "AT"],
  "companyStatus": "active",
  "maxItems": 100
}
```

Exact companies by link (the fastest way to enrich a list you already have):

```json
{
  "startUrls": [
    "https://www.northdata.com/Siemens%20AG,%20M%C3%BCnchen/HRB%206684",
    "https://www.northdata.com/Software-123%20Ltd%C2%B7,%20Inverness/Companies%20House%20SC418909"
  ],
  "includeHistory": true
}
```

### Input

| Field | What it does |
|---|---|
| `searchQueries` | Company names or keywords, one per line. Each one is a search on North Data (up to about 60 matches). |
| `countries` | Two-letter country codes (DE, AT, CH, FR, NL, GB...). Empty = all countries. |
| `companyStatus` | `all` (default), `active`, `liquidation` or `terminated`. |
| `startUrls` | North Data company page links. A North Data search link also works. |
| `includeHistory` | On (default): adds the dated register history to each row. |
| `maxItems` | Hard cap for the whole run. Default 20, 0 = no cap. |
| `proxyConfiguration` | Apify datacenter proxy by default. |

Common names used by other tools are also accepted: `query`, `keyword`, `companyNames`, `urls`, `country`,
`maxResults`, `limit`.

### Output

One row per company. Every field below is read from the public North Data company page.

| Field | Example | Notes |
|---|---|---|
| `name` | Software 4 You Planungssysteme GmbH | Current official name |
| `formerNames` | \[] | Earlier names and aliases |
| `legalForm` | GmbH | From the register history, or from the name |
| `status` | active | active, liquidation or terminated |
| `terminatedAt` | null | Date of deletion from the register |
| `foundingDate` | 1998-12-17 | First registration |
| `registerId` | District Court of Munich HRB 123354 | As the register writes it |
| `registerAuthority` | District Court of Munich | Court or registry (Companies House, Siren, KVK...) |
| `registerType` / `registerNumber` | HRB / 123354 | German register type and number |
| `registerSource` | German Trade Register Company Profile | Source of the identifier |
| `euid` | DED2601V.HRB123354 | European Unique Identifier |
| `lei` | W38RGI023J3WT1HWRP32 | Legal Entity Identifier, when the company has one |
| `stockTickers` | \["SIE.DE", "SIEGY"] | Listed companies |
| `otherIdentifiers` | CVR, KBO, Siret... | Other registers the company appears in |
| `address`, `street`, `postalCode`, `city`, `country` | Zielstattstr. 44, 81379 München | Registered company address |
| `formerAddresses` | \["Berlin, Germany"] | Earlier seats |
| `industry` | Other software development | Industry segment |
| `corporatePurpose` | Creation and development of ... | Full text of the object of the company |
| `capital`, `capitalAmount`, `capitalCurrency` | €500,000 / 500000 / EUR | Latest share capital in the register |
| `revenue`, `revenueYear`, `revenueCurrency` | 78914000000 / 2025 / EUR | Latest published revenue |
| `earnings`, `earningsYear`, `earningsCurrency` | | Latest published net income |
| `totalAssets`, `totalAssetsYear`, `totalAssetsCurrency` | 3075966.71 / 2025 / EUR | Latest balance sheet total |
| `employees`, `employeesYear` | 2 / 2025 | When the filing has it |
| `financials` | {"Revenue": \[...], "BalanceTotal": \[...]} | Every yearly figure with its source filing and date |
| `balanceSheet` | Assets, Liabilities and equity | Line items of the latest balance sheet (larger companies) |
| `history` | \[{"date", "category", "text", "source"}] | Registration, name, address, capital, statute, trademark events |
| `mergersAndAcquisitions` | Merger Senseye GmbH | Mergers, spin-offs, acquisitions |
| `fundingAndTrademarks` | EU funding (€20.3M): ... | Public funding, patents and trademarks |
| `companyId`, `url` | | North Data id and page link |
| `headline`, `sourceQuery`, `scrapedAt` | | Page heading, which search or link found it, when |

Financial figures exist only when the company publishes them (in Germany mostly GmbH and AG filings, in the UK the
Companies House accounts). Small companies often have capital and history but no revenue.

#### Example row (real, shortened)

```json
{
  "type": "company",
  "companyId": "55056718",
  "name": "Software 4 You Planungssysteme GmbH",
  "legalForm": "GmbH",
  "status": "active",
  "foundingDate": "1998-12-17",
  "registerId": "District Court of Munich HRB 123354",
  "registerAuthority": "District Court of Munich",
  "registerType": "HRB",
  "registerNumber": "123354",
  "euid": "DED2601V.HRB123354",
  "address": "Zielstattstr. 44, 81379 München, Germany",
  "city": "München",
  "country": "DE",
  "industry": "Other software development",
  "corporatePurpose": "Creation and development of own and third-party programs for data processing and processing, their duplication, licensing and distribution as well as consulting of companies.",
  "capital": "€500,000",
  "capitalAmount": 500000.0,
  "capitalCurrency": "EUR",
  "totalAssets": 3075966.71,
  "totalAssetsYear": "2025",
  "totalAssetsCurrency": "EUR",
  "financials": {
    "BalanceTotal": [
      {"year": "2023", "value": 3715142.76, "formatted": "€3,715,143", "isEstimate": false,
       "source": "Jahresabschluss zum Geschäftsjahr vom 01.01.2023 bis zum 31.12.2023", "publishedAt": "2024-09-05"}
    ]
  },
  "history": [
    {"date": "1998-12-17", "category": "register", "text": "Registration", "source": "Hrb"}
  ],
  "url": "https://www.northdata.com/Software%204%20You%20Planungssysteme%20GmbH,%20M%C3%BCnchen/HRB%20123354",
  "sourceQuery": "software",
  "scrapedAt": "2026-10-16T23:58:10Z"
}
```

### How the search works

A name is searched on North Data and the results are merged without duplicates, up to about 60 companies per
name. For a long list of companies, put one name per line, or paste the company links directly.

The country filter keeps companies whose page sits in that country. The status filter is applied after each page is
read, and skipped companies are free.

### Errors you may see

Error rows have `type: "error"`, an `errorCode` and a message. They are never charged.

| errorCode | Meaning | What to do |
|---|---|---|
| `INVALID_INPUT` | A field has a value the Actor cannot use (for example an unknown country code) | Fix the field |
| `INVALID_URL` | The link is not a North Data company or search link | Paste a link from northdata.com |
| `PERSON_PAGE` | The link points to a person's page | This Actor delivers company data only |
| `NO_RESULTS` | No company matched the name in the chosen countries | Try another spelling or fewer countries |
| `NOT_FOUND` | The company page no longer exists | Check the link |
| `BLOCKED` | North Data refused every attempt | Run again in a few minutes |

### Integrations, scheduling and AI agents

- **Schedules:** run the same list every week or month to catch new capital, address, status or name changes in the
  `history` field.
- **Export:** download the dataset as JSON, CSV, Excel or XML, or read it from the Apify API.
- **Make, n8n and Zapier:** use the Apify integration to send each new company to a sheet, CRM or Slack.
- **Webhooks:** get a call when a run finishes and pull the dataset from there.
- **AI agents:** the Actor works as a tool through the Apify MCP server, so an agent can look up a company's register
  number, status and latest figures on demand.

### FAQ

**Do I need a North Data account?**
No. The Actor reads the public company pages. Data that North Data keeps behind its premium plans (full KPI tables,
ownership graphs, documents) is not included.

**Why are some financial fields empty?**
Because the company did not publish them, or North Data shows them only to premium users. Empty fields stay `null`.

**Can I get the managing directors or shareholders?**
No. People's names are personal data and are left out on purpose. Corporate shareholders and merger partners that are
companies do appear in `mergersAndAcquisitions` and `history`.

**How fast is it?**
A run of 100 companies usually takes a few minutes.

**Which countries are covered?**
All countries North Data indexes; Germany, Austria and Switzerland have the richest register data.

### Limitations

- The quick search returns up to about 60 companies per name; for more, use more specific names or company links.
- Advanced filters of the North Data Power Search (legal form, industry, radius) are premium on the site and are not
  available; the country and status filters are applied by the Actor.
- `legalForm` comes from the register history when it is there, otherwise from the name suffix, and can be empty for
  funds, branches and unusual names.
- The `balanceSheet` field appears only for the larger companies where North Data shows a drill-down.

### Changelog

- **16 Oct 2026:** first version. Search by name and country, company links, status filter, register identifiers,
  address, industry, corporate purpose, capital, yearly financials with sources, balance sheet, register history,
  mergers and acquisitions, funding and trademarks.

# Actor input Schema

## `searchQueries` (type: `array`):

Company names or keywords, one per line, for example Siemens or Bosch GmbH. Each name is one search on North Data (up to about 60 matches per name). Leave empty when you paste company links below.

## `countries` (type: `array`):

Keep only companies from these countries. Empty = all countries North Data covers.

## `companyStatus` (type: `string`):

Keep only companies with this legal status. Companies skipped by the filter are not charged.

## `startUrls` (type: `array`):

Optional: North Data company page links, for example https://www.northdata.com/Siemens%20AG,%20M%C3%BCnchen/HRB%206684. A North Data search link also works.

## `includeHistory` (type: `boolean`):

On: each row gets the dated register history (registration, name, address and capital changes, statute filings, trademarks). Off: smaller rows.

## `maxItems` (type: `integer`):

Hard cap for the whole run, across all names and links. 0 = no cap.

## `proxyConfiguration` (type: `object`):

Apify datacenter proxy by default. Change it only if you know you need to.

## Actor input object example

```json
{
  "searchQueries": [
    "Siemens"
  ],
  "countries": [
    "DE"
  ],
  "companyStatus": "all",
  "includeHistory": true,
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `resultsCsv` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "Siemens"
    ],
    "countries": [
        "DE"
    ],
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapewise/northdata-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["Siemens"],
    "countries": ["DE"],
    "maxItems": 20,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapewise/northdata-scraper").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 '{
  "searchQueries": [
    "Siemens"
  ],
  "countries": [
    "DE"
  ],
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapewise/northdata-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapewise/northdata-scraper"
        }
    }
}
```

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/pYqNru1cZ9VJ3hI0M/builds/zoByH41DJh6A3DWlR/openapi.json