Denmark Government Data Search

Search 24 official Danish government data sources in a single API call — GLEIF LEI entities, Statistics Denmark (StatBank) business, health, property and construction statistics, Danish clinical trials, PlanData building zones and local plans, Folketinget parliament cases and votes, EUR-Lex directives, and TED procurement notices. All data from official Danish government databases through the SIP Public Data Gateway.

What is Denmark Government Data Search?

Denmark Government Data Search is an Apify Actor that queries official Danish government databases across business, construction, health, legal, and procurement domains. Instead of navigating StatBank, PlanData, Folketinget, and sundhedsdata portals separately, you search them all at once.

The Actor calls the SIP Public Data Gateway — a unified API that normalizes responses from 24 Danish data products. No browser, no scraping — just HTTPS API calls.

Why use Denmark Government Data Search?

• One search, 24 sources — Query company data, building zones, health statistics, parliament records, and procurement simultaneously
• Official government data — All sources are public databases from Statistics Denmark, PlanData, Folketinget, and Danish health authorities
• Rich StatBank coverage — Business demographics, construction activity, property prices, health expenditure, municipal and regional accounts
• Parliament transparency — Folketinget cases, votes, and legislative proceedings
• Nordic market entry — Essential data for companies entering the Danish/Nordic market

Use cases

Who	What
Market researchers	Access StatBank business demographics, construction activity, and property statistics
Healthcare analysts	Search Danish clinical trials, health expenditure, and WHO health indicators
Property developers	Find PlanData building zones, local plans, and StatBank property/construction data
Legal professionals	Query EUR-Lex directives for Denmark and Folketinget legislative proceedings
Government contractors	Monitor TED procurement notices and public finance data
Nordic investors	Access GLEIF LEI entities and business statistics for Danish companies

What data can Denmark Government Data Search extract?

Source	Data type	Example fields
GLEIF LEI	Danish LEI-registered entities	legal_name, lei, entity_status
StatBank business	Business demographics and statistics	indicator, industry, value, period
StatBank construction	Construction activity and permits	indicator, municipality, value
StatBank property	Property prices and transactions	area, price_index, transactions
StatBank health	Health system statistics	indicator, region, value
StatBank health expenditure	Healthcare spending data	category, expenditure, year
PlanData building zones	Zoning and land use	zone_type, municipality, area
PlanData local plans	Municipal planning documents	plan_name, municipality, status
Clinical trials	Danish clinical trials	title, sponsor, phase, status
WHO health indicators	Health metrics for Denmark	indicator, value, year
Parliament cases	Folketinget legislative cases	title, type, status, committee
Parliament votes	Parliamentary voting records	case, result, date
EUR-Lex directives	EU directives applicable to Denmark	title, celex, date
TED procurement	EU procurement for Denmark	title, buyer, value, deadline
StatBank govt finance	Government revenue and expenditure	category, amount, year
StatBank municipal	Municipal financial accounts	municipality, indicator, value

How to search Danish data

1. Open the Actor in Apify Console
2. Enter search terms (e.g. "Novo Nordisk", "København", "bolig", "sundhed")
3. Select data categories — business, construction, and health are on by default
4. Click Start — the Actor queries all enabled sources in parallel
5. Download results as JSON, CSV, or Excel

Example input

{
  "searchTerms": ["Novo Nordisk", "Maersk"],
  "includeBusiness": true,
  "includeConstruction": false,
  "includeHealth": false,
  "includeLegal": false,
  "includeProcurement": false,
  "maxResultsPerSource": 50
}

Output

{
  "legal_name": "Novo Nordisk A/S",
  "lei": "549300I6KHWHOQO2XR19",
  "entity_status": "ACTIVE",
  "_product_id": "dk_gleif_lei",
  "_source": "gleif_lei",
  "_search_term": "Novo Nordisk",
  "_collected_at": "2026-04-08T14:00:00Z"
}

How much does it cost?

Pay-per-event pricing at $3.00 per 1,000 records returned.

• Company lookup (1 term, business only): ~$0.01–0.03
• Full scan (3 terms, all 24 sources): ~$0.30–2.00

No browser overhead. Control costs with maxResultsPerSource.

Data sources (24 Danish products)

Category	Sources	Count
Business	GLEIF LEI, StatBank business, business aggregate	3
Construction	PlanData (zones/local plans), StatBank (construction/property), construction aggregate	5
Health	Clinical trials, StatBank (health/expenditure/demographics), WHO indicators, health aggregate	6
Legal	EUR-Lex (directives/regulations), Folketinget (cases/votes), legal aggregate	5
Procurement	TED procurement, StatBank (govt finance/municipal/regional accounts), procurement aggregate	5

FAQ

Does it support Danish search terms? Yes. SIP passes terms directly to Danish APIs. StatBank and PlanData support Danish. GLEIF and EUR-Lex work with English.

What is StatBank? Statistics Denmark's statistical database (statistikbanken.dk) — the national statistics office providing detailed socioeconomic data across 2,000+ tables.

Can I access municipal-level data? Yes. StatBank municipal accounts and PlanData local plans provide kommune-level granularity.

Use as MCP Tool (AI Agent Integration)

This Actor works as an MCP tool — AI agents (Claude, GPT, Cursor) can discover and run it automatically.

Quick setup (Claude Desktop / Cursor / VS Code)

Add to your MCP config:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Then ask your AI: "Search for Novo Nordisk in Danish government databases"

Direct API call

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("lentic_clockss/denmark-data-search").call(
    run_input={"searchTerms": ["Novo Nordisk"], "maxResultsPerSource": 50}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Other Data API Actors

• EU Business & Company Registry API
• Switzerland Government Data API
• UK Government Data API
• US Business Entity Data API