North Data Scraper — EU Company Register, Officers & Financials 🏛️

🎉 Every financial figure arrives with the filing it came from — year, publication date, auditor, and whether it is an estimate

For due-diligence, KYC and M&A teams who have to say where a number came from

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🔎 What is the North Data Scraper — and when should you use it?

The North Data Scraper turns European company register records from North Data, across 26 countries into clean, structured rows you can filter, export and feed straight into a spreadsheet, database or AI agent. No account, no portal API key, no browser automation to maintain.

Use it when you need: a company's register record rather than its website: register court and number, LEI, EUID, legal status, registered address and coordinates. Ask for more and each row adds officers with their roles and their own record links. Financials come as revenue and earnings by year, with the filing each figure came from and a flag for whether it was estimated. Deeper still: balance-sheet totals, dated register events such as capital changes and insolvency filings, patent and trademark publications, and parent and subsidiary links with the published ownership percentage.

Use something else when: you need something other than the filed register record. Use Email & Contact Lead Scraper for email addresses and contact details for people at a company, where this actor returns officers as names and roles only. Use Local Business Data Scraper for a trading location's phone, hours and reviews, where this actor returns the legal entity behind it. Use USPTO Trademark Scraper for US trademark filings and their owners, where this actor covers European company registers. This actor returns what North Data shows an anonymous visitor. The four panels North Data sells at 49 euros a month are out of scope: the full legal-representative detail, ownership relations, key performance indicators and the interactive financial statements. Free search is also capped by North Data itself — 45 companies per query unfiltered, 15 with a country filter — so this is a lookup and enrichment tool rather than a way to download a country. North Data's terms forbid producing credit assessments from the data.

🤖 Use with AI agents

Already connected to the Apify MCP server? Just ask for this Actor by name: sian.agency/northdata-company-scraper

Your agent can pay for its own runs. This Actor is eligible for agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — without an Apify account or API token of its own. Billing is the same either way: per successful row, never for errors.

Otherwise copy this prompt into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want check a European company's register record before we deal with them using the Apify Actor `sian.agency/northdata-company-scraper`.

Use it when I need: a company's register record rather than its website: register court and number, LEI, EUID, legal status, registered address and coordinates. Ask for more and each row adds officers with their roles and their own record links. Financials come as revenue and earnings by year, with the filing each figure came from and a flag for whether it was estimated. Deeper still: balance-sheet totals, dated register events such as capital changes and insolvency filings, patent and trademark publications, and parent and subsidiary links with the published ownership percentage.

Don't use it when: you need something other than the filed register record — use email-contact-lead-scraper or local-business-data-scraper or uspto-trademark-scraper instead.

How to call it: set `operation` to `search` and give `queries` a list of company names, optionally narrowed by `countries` (ISO-2 codes from a fixed list of 26; filtered searches return up to 15 companies per query, unfiltered ones up to 45). That returns identity rows. Set `fetchProfiles` to true to expand every hit into a full dossier, which bills the profile rate instead. To expand pages you already have, set `operation` to `detail` and pass `companyUrls`. The `includeOfficers`, `includeFinancials`, `includeEvents`, `includeNetwork` and `includePublications` toggles decide how much each dossier carries.

Start with this input:
{
  "operation": "search",
  "queries": [
    "Bayerische Motoren Werke"
  ],
  "countries": [
    "DE"
  ],
  "maxResults": 10,
  "fetchProfiles": true,
  "includeNetwork": true
}

Ask me which company and which country, and whether they want identity rows only or the full dossier with officers and financials, then run the Actor and summarise the results as a table.

Things you can ask your agent for:

• Check whether these twelve German suppliers are still trading and flag any with a liquidation or insolvency entry in the last two years.
• Pull nine years of revenue and earnings for this group and tell me which figures are estimates rather than filed numbers.
• Map the ownership around this company: who controls it, what it controls, and at what percentage.

Machine-readable API, MCP config and OpenAPI definition for this Actor are published at apify.com/sian.agency/northdata-company-scraper.md.

📋 Overview

Register data is easy to find and hard to trust. This Actor pulls company records from North Data across 26 European countries and returns them as flat rows, with the provenance attached to the numbers that need it.

What you get:

• ✅ 26 countries in one Actor: Germany, the UK, France, Austria, Switzerland, the Benelux, the Nordics, the Baltics and Central Europe — one input shape for all of them.
• 📊 Financials with provenance: every yearly figure carries its source filing, that filing's publication date, the auditor where one is named, and North Data's own consolidated and estimate flags.
• 👔 Officers with roles: managing directors, board members and authorised signatories, each with their role, city and a permanent link to their own record.
• 🕸️ The ownership network as rows: parents, subsidiaries and officer links, typed, with the published ownership percentage where the register discloses one.
• 💰 Two prices, honestly split: a thin identity row from a search costs a fraction of a full dossier. You pay dossier price only for rows you asked to expand.
• 🔓 No account, no key, no proxy: give it a company name and press run.

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✨ Features

• 🔍 Name and keyword search: turn a legal name, a trading name or a keyword into register rows.
• 🏛️ Full company dossier: identity, address, purpose, officers, financials, events and network in one row.
• 🌍 Country filter that actually filters: a multi-select over exactly the 26 countries North Data covers, and a filtered search is routed to the index that honours it. A code outside those 26 stops the run before it costs you anything, rather than quietly returning every country.
• 📅 Dated register events: registration, capital changes, management changes, liquidation and insolvency entries, each linked to the official source record.
• 📰 Patent and trademark publications: what the company has filed and when.
• 🧾 Balance-sheet totals: total assets broken down into current and non-current, and liabilities against equity.
• 🗣️ English or German output: role names, event labels and metric names in either language.
• 📄 Run report: an HTML summary of every run, with what succeeded, what failed and why.

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🎬 Quick Start

Pick an operation, give it a company name or a North Data URL, and press Start. Search mode returns register rows for every match. Turn on Expand each result to a full profile when you want the whole dossier instead of the identity row.

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~northdata-company-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"operation":"search","queries":["Bayerische Motoren Werke"],"countries":["DE"]}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Choose what to run

Company Search if you have names. Company Profile if you already have North Data URLs.

Step 2: Fill in the targets

Type company names into Company names or keywords, or paste URLs into North Data company URLs. Narrow by country if you know it.

Step 3: Decide how deep to go

Leave Expand each result to a full profile off for cheap identity rows. Turn it on for officers, financials, events and the ownership network.

That's it! In under a minute, you'll have:

• A row per company with its register court, number, LEI and EUID
• Named officers with their roles
• Revenue and earnings by year, each tagged with the filing it came from

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📥 Input Configuration

Field	Type	Required	Description
operation	string	No	search or detail. Defaults to search.
queries	array	No	Company names or keywords, one search per entry.
countries	array	No	ISO-2 codes to restrict the search to. Empty means all 26 and pages to 45 rows per query; set, it returns up to 15 per query.
companyUrls	array	No	North Data company page URLs, for the detail operation.
maxResults	integer	No	Stop after this many companies. Default 50.
fetchProfiles	boolean	No	Expand every search hit into a full dossier.
includeOfficers	boolean	No	Return officers and their roles. Default on.
includeFinancials	boolean	No	Return the yearly financial series. Default on.
includeEvents	boolean	No	Return dated register events. Default on.
includeNetwork	boolean	No	Return parent and subsidiary links. Default off.
includePublications	boolean	No	Return patent and trademark filings. Default off.
language	string	No	en or de. Default en.

Example — search by name:

{
  "operation": "search",
  "queries": ["Bayerische Motoren Werke", "Siemens"],
  "countries": ["DE"],
  "maxResults": 30
}

Example — full dossiers for URLs you already have:

{
  "operation": "detail",
  "companyUrls": [
    "https://www.northdata.com/Bayerische+Motoren+Werke+Aktiengesellschaft,+M%C3%BCnchen/HRB+42243"
  ],
  "includeNetwork": true,
  "includePublications": true
}

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📤 Output

Results are saved to the Apify dataset with 34 fields including:

Field	Type	Description
companyName	string	Registered company name
registerCourt	string	Court or registrar that holds the record
registerNumber	string	Register number, e.g. HRB 42243
lei	string	Legal Entity Identifier
euid	string	EU-wide business identifier
tickers	array	Stock tickers where the company is listed
street / postalCode / city / country	string	Registered address, country as ISO-2
latitude / longitude	number	Coordinates of the registered address
foundingDate	string	Date of first registration
corporatePurpose	string	The purpose as filed
officers	array	Name, role, city and record URL per officer
financials	array	Metric, year, value, source filing, estimate and consolidated flags
latestRevenue	number	Most recent filed revenue
balanceSheet	object	Total assets and liabilities, broken down
events	array	Dated register events with links to the official record
network	array	Related companies and people with relation type and ownership percentage

Example:

{
  "companyName": "Bayerische Motoren Werke AG",
  "registerCourt": "District Court of Munich",
  "registerNumber": "HRB 42243",
  "lei": "YEH5ZCD6E441RHVHD759",
  "euid": "DED2601V.HRB42243",
  "tickers": ["BMW.DE", "BMW.SW", "BMWYY"],
  "street": "Petuelring 130",
  "postalCode": "80809",
  "city": "München",
  "country": "DE",
  "foundingDate": "1995-12-12",
  "officerCount": 123,
  "officers": [
    { "name": "Zipse, Oliver", "role": "CEO", "northdataUrl": "https://www.northdata.com/Zipse,%20Oliver,%20Kranzberg/1645" }
  ],
  "latestRevenue": 133517941913,
  "latestRevenueYear": "2025",
  "financials": [
    {
      "metric": "Revenue",
      "year": "2024",
      "value": 142380000000,
      "consolidated": true,
      "estimate": false,
      "sourcePublication": "Stock exchange listed companies - Financial Data",
      "sourceDate": "2024-12-31"
    }
  ],
  "network": [
    { "name": "BMW (UK) Ltd.", "entityType": "company", "relation": "IndirectParent", "ownershipPercent": "100 %" }
  ],
  "_operation": "search",
  "status": "success"
}

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💼 Use Cases & Examples

1. Counterparty checks before signing

A finance or legal team confirming a company is real and current before a contract or a payment.

Input: the counterparty's legal name and country Output: register court and number, EUID, LEI, registered address, current officers, and the event history Use: catch a liquidation entry or a management change before the money moves

2. M&A and investment screening

A corporate development analyst sizing a target and its group.

Input: the target's name, with profile expansion and the network turned on Output: nine years of revenue and earnings with the filing behind each figure, balance-sheet totals, and the parent/subsidiary map Use: build a first-pass view without paying for a data room

3. B2B lead enrichment

A revenue-operations manager turning a list of company names into CRM-ready rows.

Input: company names, narrowed by country Output: legal name, register identity, registered address, coordinates and named decision makers with roles Use: fields a website scrape never has, keyed to an identifier your CRM can deduplicate on

4. Supplier and vendor risk monitoring

A procurement team watching a supplier list on a schedule.

Input: the supplier URLs, run on a schedule with events on Output: new register events since the last run — capital changes, management changes, address moves, insolvency filings Use: an early warning that a supplier's situation has changed

5. Beneficial-ownership and structure research

A compliance analyst tracing who actually controls an entity.

Input: the entity URL with the corporate network enabled Output: typed relations to parents and subsidiaries with published ownership percentages, plus the officers who link entities together Use: turn a network diagram into rows you can query

6. Investigative journalism

A reporter following people rather than companies.

Input: a company, then the officer URLs it returns Output: every officer with their own permanent record URL, and the other entities they connect to Use: how a shell structure becomes visible

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/northdata-company-scraper').call({
  operation: 'search',
  queries: ['Bayerische Motoren Werke'],
  countries: ['DE'],
  fetchProfiles: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/northdata-company-scraper').call(
    run_input={
        'operation': 'search',
        'queries': ['Bayerische Motoren Werke'],
        'countries': ['DE'],
        'fetchProfiles': True,
    }
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~northdata-company-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"operation":"search","queries":["Bayerische Motoren Werke"],"countries":["DE"],"fetchProfiles":true}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: schedule, or a new row in your CRM
2. HTTP Request: call the Actor with the company name
3. Process: read the register number, status and event list
4. Action: write back to the CRM, or alert on an insolvency entry

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 companies per run — full feature access, same data quality
• No credit card required
• Enough to check a shortlist end to end

PAID Tier (Production Ready)

• Unlimited companies per run
• Pay-per-result: charged only for rows that came back
• Two rates, so depth is a choice: a search identity row is a fraction of a full dossier

💰 Priced at the middle of the market for a full dossier, and well under it for discovery. There is no vendor to pay for on this path, so the saving is real rather than introductory.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: Do I need a North Data account or an API key? A: No. Every page this Actor reads is public. Give it a company name and press run.

Q: How many companies can one search return? A: 45 per query with no country filter, and 15 per query with one. Both are North Data's own ceilings on its free search, not ours — the country-aware index it filters against is the smaller of the two. To go wider, add more queries or run the same name one country at a time, which returns a different set for each.

Q: Does this return the Premium data? A: No, and it does not try to. North Data sells four panels at €49/month: the full legal-representative detail, ownership relations, key performance indicators, and the interactive financial statements. This Actor returns what the public page shows an anonymous visitor. That still includes officers, the revenue and earnings series, register events and the network graph.

Q: Why do some companies have no financials? A: Because they never published any. Small entities in most European registers file abridged accounts or none at all. The register identity is always there; the depth follows what the company actually filed.

Q: Can I use this for credit scoring? A: No. North Data's terms of use prohibit producing credit assessments from their information. Counterparty verification, enrichment and monitoring are all fine.

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

Q: Does it return officer email addresses or phone numbers? A: No. Officers come back as names with roles, cities and a link to their public record. Contact details are not published on North Data and are not invented here.

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🐛 Troubleshooting

A search returns nothing

• Try the full legal name — "Bayerische Motoren Werke" rather than "BMW"
• Widen or clear the country filter
• Search matches company names, so a generic keyword returns companies with that word in their name, not every company in that line of business
• A row that says the search could not be completed is a different answer from one that says nothing matched. The first means North Data did not return a usable result page, so nothing was found or ruled out — re-run that query in a few minutes and it will resolve.

A company row has no officers or no financials

• That entity does not publish them. Small companies in most registers file neither
• The register identity fields are still populated, and they are the ones that are always there

A profile URL is rejected

• Use a company page URL, not a search page or an event permalink
• The ?id= links inside the event list point at source records, not company pages
• Copy the URL from a search run's northdataUrl column and it will always resolve

A run is slower than expected

• Full dossiers are large pages and North Data takes several seconds to render each one
• Leave Expand each result to a full profile off when you only need identity rows

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

North Data's own terms of use prohibit producing credit assessments from their information. Please respect that when you decide what to build on these rows.

You can also read Apify's blog post on the legality of web scraping.

North Data is a trademark of North Data GmbH. This Actor is not affiliated with, endorsed by, or sponsored by North Data.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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