Beginner · 5 min read

Quickstart guide

Go from nothing to your first address lookup in under 60 seconds. We'll walk you through the whole flow — create an account, get a key, make your first call.

100% compatible drop-in for the official DAWA. Change only the base URL — all your code, parsers and field names keep working unchanged.

curl "https://api.danskadresseapi.dk/dawa/autocomplete?q=Nørrebrogade" \
  -H "Authorization: Bearer $ADDR_KEY"

See the full comparison: /dawa vs v1

When you're done you can

Search 4.1M Danish addresses
Get fuzzy matching and typo tolerance
Fetch postal codes, municipalities, streets
Use from backend or browser

1. Create a free account

Go to . Just enter your email — we'll send a link to set a password. Or pick "Sign up with Google" if you prefer.

Tip

The Hobby plan is free forever: 1,000 calls per month, 3 keys, no credit card required. You don't need to upgrade until you actually need more.

2. Generate your first API key

Once signed in you land on the dashboard. Click "New key" in the "My keys" card. Give it a name (e.g. production) and pick live — server-side.

The key is shown once — copy it right away. It looks like this:

sk_live_AbCdEfGhIjKlMnOpQrStUv1234567890

Tip

Important: treat the key like a password. Store it in a .env file or your CI/CD secret manager — never in git or a frontend bundle. If it's compromised you can disable it and create a new one.

3. Make your first call

You're ready. Replace YOUR_API_KEY with your key and call the API. Pick the language you're using:

curl (terminal)

terminal

curl "https://api.danskadresseapi.dk/v1/autocomplete?q=N%C3%B8rrebrogade" \
  -H "Authorization: Bearer YOUR_API_KEY"

JavaScript / Node.js

search.js

1const r = await fetch(
2  'https://api.danskadresseapi.dk/v1/autocomplete?q=' + encodeURIComponent('Nørrebrogade'),
3  { headers: { Authorization: 'Bearer ' + process.env.ADDR_KEY } },
4);
5const results = await r.json();
6console.log(results[0]);
7// -> { type: TOK3, tekst: TOK4, ... }

Create account to view the code

1,000 calls/month free ·

PHP

search.php

1<?php
2$query = urlencode('Nørrebrogade');
3$ch = curl_init("https://api.danskadresseapi.dk/v1/autocomplete?q=$query");
4curl_setopt($ch, CURLOPT_HTTPHEADER, ["Authorization: Bearer " . getenv('ADDR_KEY')]);
5curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
6$results = json_decode(curl_exec($ch), true);
7echo $results[0]['tekst']; // -> TOK5

Create account to view the code

1,000 calls/month free ·

Python

search.py

1import os, requests
2r = requests.get(
3    'https://api.danskadresseapi.dk/v1/autocomplete',
4    params={'q': 'Nørrebrogade'},
5    headers={'Authorization': f'Bearer {os.environ["ADDR_KEY"]}'},
6)
7results = r.json()
8print(results[0]['tekst'])  # -> "Nørrebrogade 1, 2200 København N"

Create account to view the code

1,000 calls/month free ·

4. What you get back

The response is a flat array — DAWA format. Each address has a top-level object with type, tekst etc. plus a data object with the full details:

response.json

 1[
 2  {
 3    "type": "adresse",
 4    "tekst": "Nørrebrogade 1, 2200 København N",
 5    "forslagstekst": "Nørrebrogade 1, 2200 København N",
 6    "caretpos": 33,
 7    "stormodtagerpostnr": false,
 8    "data": {
 9      "id": "70865c44-d570-44e7-a6f5-6f7c90add725",
10      "vejnavn": "Nørrebrogade",
11      "husnr": "1",
12      "etage": null,
13      "dør": null,
14      "postnr": "2200",
15      "postnrnavn": "København N",
16      "kommunekode": "0101",
17      "kommunenavn": "København",
18      "x": 12.5566,
19      "y": 55.6976,
20      "href": "https://api.danskadresseapi.dk/v1/adresser/70865c44-..."
21    }
22  }
23]

Create account to view the code

1,000 calls/month free ·

x and y are WGS84 coordinates (longitude and latitude). tekst is the fully formatted address — perfect for displaying in autocomplete dropdowns.

5. Next steps

You know the basics. Here's what most people do next:

Our AI knows all of DAWA

Ask about fields, endpoints or migration — it's trained on all of it.

Strøget 12, 1050 København KVesterbrogade 1, 1620 København VNørrebrogade 88, 2200 København NAboulevarden 9, 8000 Aarhus CVestergade 23, 5000 Odense CAlgade 14, 9000 AalborgStoregade 50, 6700 EsbjergBanegårdspladsen 1, 8000 Aarhus CRådhuspladsen 1, 1550 København VSkovgade 14, 7100 VejleHovedgaden 27, 3460 BirkerødBredgade 56, 1260 København KTorvet 9, 4000 RoskildeSøvej 32, 4400 KalundborgAdelgade 14, 8660 SkanderborgStrøget 12, 1050 København KVesterbrogade 1, 1620 København VNørrebrogade 88, 2200 København NAboulevarden 9, 8000 Aarhus CVestergade 23, 5000 Odense CAlgade 14, 9000 AalborgStoregade 50, 6700 EsbjergBanegårdspladsen 1, 8000 Aarhus CRådhuspladsen 1, 1550 København VSkovgade 14, 7100 VejleHovedgaden 27, 3460 BirkerødBredgade 56, 1260 København KTorvet 9, 4000 RoskildeSøvej 32, 4400 KalundborgAdelgade 14, 8660 SkanderborgStrøget 12, 1050 København KVesterbrogade 1, 1620 København VNørrebrogade 88, 2200 København NAboulevarden 9, 8000 Aarhus CVestergade 23, 5000 Odense CAlgade 14, 9000 AalborgStoregade 50, 6700 EsbjergBanegårdspladsen 1, 8000 Aarhus CRådhuspladsen 1, 1550 København VSkovgade 14, 7100 VejleHovedgaden 27, 3460 BirkerødBredgade 56, 1260 København KTorvet 9, 4000 RoskildeSøvej 32, 4400 KalundborgAdelgade 14, 8660 Skanderborg

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