How to Query Norway BRREG Business Register in Python (Companies, Officers, AML)

Norway’s Brønnøysund Register Centre (BRREG) is one of the most structured and complete public company registries in the world. It covers 1.16 million registered entities. The officer roles endpoint is particularly valuable for AML and KYB — it returns typed role categories (not just a flat list of names) including CEOs, board members, and authorized signatories. Here is how to use it.

What each entity record contains

• Organization name and number (9-digit)
• Company status (active, dissolved, bankrupt, etc.)
• Formation date and registered municipality
• NACE industry code and description
• Employee band
• Registered address
• Full officer roster: role type, name, and country of residence

Common use cases

KYB and onboarding. Verify that a Norwegian counterparty or supplier is an active registered entity and surface its beneficial ownership structure for due diligence.

AML screening. Get the natural persons behind a legal entity — CEO, board members, and authorized signatories — by name and country of residence for PEP and sanctions checks.

Market research. Count active companies by industry code (NACE) and municipality to map the Norwegian corporate landscape by sector and geography.

Partner vetting. Before engaging a Norwegian agency, contractor, or distributor, verify their entity status and check who the legal signatories are.

Using the Apify actor

import apify_client

client = apify_client.ApifyClient('YOUR_APIFY_TOKEN')

run_input = {
    "query": "Equinor",
    "maxResults": 10,
    "includeOfficers": True,
}

run = client.actor('themineworks/norway-brreg-entity-search').call(run_input=run_input)

for entity in client.dataset(run['defaultDatasetId']).iterate_items():
    if entity.get('_type'):
        continue
    print(f"{entity.get('name')} ({entity.get('org_number')})")
    print(f"  Status: {entity.get('status')} | Founded: {entity.get('founded_date', 'N/A')}")
    print(f"  Industry: {entity.get('nace_description', 'N/A')} ({entity.get('nace_code', 'N/A')})")
    print(f"  Address: {entity.get('municipality', 'N/A')}, {entity.get('county', 'N/A')}")
    print(f"  Employees: {entity.get('employees', 'N/A')}")
    print(f"  Officers ({len(entity.get('officers', []))}):")
    for officer in entity.get('officers', []):
        print(f"    {officer.get('role_description')}: {officer.get('name')} ({officer.get('country_of_residence', 'NO')})")

Batch KYB check for a supplier list

SUPPLIERS = [
    "Aker Solutions",
    "Kongsberg Gruppen",
    "Yara International",
]

for name in SUPPLIERS:
    run = client.actor('themineworks/norway-brreg-entity-search').call(
        run_input={"query": name, "maxResults": 1, "includeOfficers": True}
    )
    results = [r for r in client.dataset(run['defaultDatasetId']).iterate_items() if not r.get('_type')]
    if results:
        e = results[0]
        print(f"\n{name}")
        print(f"  Status: {e.get('status')} | Org: {e.get('org_number')}")
        officers = e.get('officers', [])
        ceo = next((o for o in officers if 'daglig' in o.get('role_code', '').lower()), None)
        if ceo:
            print(f"  CEO: {ceo.get('name')} ({ceo.get('country_of_residence', 'NO')})")
    else:
        print(f"\n{name}: not found")

Industry landscape mapping

from collections import Counter

run_input = {
    "naceCode": "62",
    "maxResults": 500,
    "includeOfficers": False,
}

run = client.actor('themineworks/norway-brreg-entity-search').call(run_input=run_input)
results = [r for r in client.dataset(run['defaultDatasetId']).iterate_items() if not r.get('_type')]

by_municipality = Counter(r.get('municipality', 'Unknown') for r in results if r.get('status') == 'active')
print("Active IT companies by municipality:")
for city, count in by_municipality.most_common(15):
    print(f"  {city}: {count}")

Officer nationality screening

Flag entities where key officers are based outside Norway:

for entity in results:
    foreign_signatories = [
        o for o in entity.get('officers', [])
        if o.get('country_of_residence') not in ('NO', None)
        and 'sign' in o.get('role_code', '').lower()
    ]
    if foreign_signatories:
        print(f"\n{entity.get('name')} has foreign authorized signatories:")
        for o in foreign_signatories:
            print(f"  {o.get('name')}: {o.get('country_of_residence')} ({o.get('role_description')})")

Pricing

$0.005 per entity. Officer data is included at no extra cost.