Denmark Company Data — CVR Business Register 🇩🇰

🎉 Turn the Danish CVR register into clean, structured company data — no login, no API key, one row per entity, with employees, industry, phone, officers and production units. Built for B2B sales, lead generation, KYB / compliance and market-research teams.

🔍 What is the Denmark Company Data — and when should you use it?

Give this actor company names or Danish CVR numbers and it returns matching companies from the Danish Central Business Register (CVR, via cvrapi.dk) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a Denmark company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need firmographics the registry doesn’t hold (revenue, headcount, website, email) — pair this with an enrichment actor from Fox Labs.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/denmark-company-data.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

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

I want to pull Denmark company records using the Apify Actor `foxlabs/denmark-company-data`.
Input: `queries` is a list of company names or Danish CVR numbers. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["32345794","Novo Nordisk"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/denmark-company-data.md.

📋 Overview

Everything you need to turn the Danish Central Business Register (CVR, via cvrapi.dk) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable join key — registrationNumber ties rows across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~denmark-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["32345794","Novo Nordisk"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or Danish CVR numbers.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["32345794","Novo Nordisk"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names or Danish CVR numbers.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
country	Country
registry	Registry
companyName	Company / entity name
registrationNumber	Registry ID — the join key
taxNumber	Tax identifier
status	active / inactive / dissolved
statusRaw	Status exactly as the registry words it
legalForm	Legal form / entity type
incorporatedOn	Formation / registration date (ISO)
dissolvedOn	Dissolution date where applicable (ISO)
address	Principal address
city	City
postalCode	Postal code
countryName	Country
industry	Primary industry (NACE)
industryCode	Primary industry code (NACE)
employees	Registered employee count
capital	Registered share capital
website	Website
email	Email
phone	Phone
officers	Officers
sourceUrl	Public registry URL for the record
legalFormCode	Legal-form code
isBankrupt	Is Bankrupt
protectedAddress	Protected Address
productionUnitCount	Production Unit Count
productionUnits	Production Units

💼 Use cases

1. Denmark firmographic enrichment — attach employees, industry and phone to Danish companies. Input: CVR numbers or names. Output: the full firmographic record. Use: enrich a CRM or lead list.

2. Denmark B2B lead lists — active Danish companies with industry + contact. Input: name searches. Output: entities + phone + industry. Use: a ready sales list.

3. KYB / due diligence — verify a Danish company and its bankruptcy status. Input: the CVR or name. Output: the canonical CVR record. Use: confirm status and standing.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/denmark-company-data').call({"queries":["32345794","Novo Nordisk"],"maxResultsPerQuery":50});
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('foxlabs/denmark-company-data').call(run_input={"queries":["32345794","Novo Nordisk"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the Danish Central Business Register (CVR, via cvrapi.dk).

What do I search by? Company names or Danish CVR numbers.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

Why are firmographics like revenue or website missing? A public business registry doesn’t hold them; we don’t ship empty columns. Pair with an enrichment actor from Fox Labs.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a registered agent’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1 — 2026-09-07

• Fixed the outage. cvrapi.dk returned QUOTA_EXCEEDED on every request because the User-Agent did not match the gateway's required App - Provider - Contact format, so the actor returned zero results. Updated the User-Agent; it now returns full company data again — name, VAT, address, industry, employees, phone, officers, production units.
• README rebuilt to the full standard (AI-agents + x402 + MCP, Use cases, Integration, FAQ, Troubleshooting, Support & contact).