# Danish Store Locator (`scrapme/danish-store-locator`) Actor

Store lists for 13 large Danish retail chains (Netto, Rema 1000, Lidl, Jysk, Imerco, Thansen, Matas and more): store name, address, postal code, city, coordinates and opening hours, from the chains' own public store finders.

- **URL**: https://apify.com/scrapme/danish-store-locator.md
- **Developed by:** [MDBBusiness](https://apify.com/scrapme) (community)
- **Categories:** E-commerce, Other
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 1,000 stores

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Danish Store Locator

Get a clean, up-to-date list of stores of large Danish retail chains: store name, address, postal code, city, GPS coordinates, opening hours for the coming days and the services the chain flags for each store. One run returns the chains you pick, as a table you can download as JSON, CSV or Excel.

The data comes from the chains' own public store finders. No login, no proxy, no browser and no API key are needed. The Actor only collects business information about stores (name, business address, opening hours, coordinates, services). It does not collect phone numbers, e-mail addresses, names of store managers or any other personal data.

### What you can use it for

- Build a map or a store finder for your own app or website.
- Analyse store coverage by postal code or city (market research, site selection, delivery planning).
- Keep a CRM, a route planner or a spreadsheet in sync with the current store network.
- Check which stores are open when, including holiday hours.

### Chains included

Store counts are from the test run on 2026-10-27 and change when the chains open or close stores.

| Chain | Stores | Coordinates | Opening hours | Services |
|---|---|---|---|---|
| Netto | 583 | yes | 7 days | yes |
| Rema 1000 | 450 | yes | 7 days | click & collect only |
| Matas | 262 | **no** (not published) | 7 days | click & collect only |
| Imerco | 165 | yes | 7 days | click & collect |
| PureGym (formerly Fitness World) | 128 | yes | **no** (not in the store list) | no |
| Jysk | 117 | yes | 7 days | click & collect, pay & collect, trailer rental, outlet |
| Thansen | 85 | yes | 7 days | no |
| Harald Nyborg | 74 | yes | 7 days | no |
| Jem & fix | 141 | yes | **no** (not in the store list) | no |
| Biltema | 19 | yes | **today only** | cafe, click & collect |
| Bauhaus | 19 | yes | 7 days | no |
| Intersport | 18 | yes (1 store without) | 7 days | no |
| Lidl | 171 | yes | 7 days | parking, charging, Lidl Plus etc. |

Notes:

- **Lidl** has no combined list. The Actor visits the chain's city and store pages one by one, about one page per second, so a full Lidl run takes several minutes. In the full test run on 2026-10-27 the Actor collected 171 Lidl stores.
- Where a chain does not publish a field, the value is `null` (for example `latitude`/`longitude` for Matas and `openingHours` for Jem & fix and PureGym). Matas stores are left out of location (radius) searches because they have no coordinates.
- Opening hours that a chain publishes as a weekly schedule are expanded to the next 7 calendar days. Special dates the chain publishes (for example holidays at Imerco and Bauhaus) are included.
- Only Danish stores are returned. Pick-up points abroad (for example Faroe Islands) are skipped.
- More chains may be added later. The Actor only includes chains whose robots.txt and terms allow automated access to the public store list.

### Price and cost limit

You pay per store returned (see the price on this page). A run with all chains returns about 2,000 stores. Apify limits a run to the "Maximum cost per run" you set, and the Actor stops saving when that limit is reached and says so in the log and the run status. Set a higher limit, or select fewer chains, postal codes or cities, if you want all stores.

### Input

| Field | Type | Description |
|---|---|---|
| `chains` | array | Any of the chains above (default: all chains) |
| `postalCodes` | array | Only stores in these postal codes, e.g. `["2100", "8000"]` |
| `cities` | array | Only stores in these cities, e.g. `["Aarhus C"]` (not case sensitive; "Aarhus" and "Århus" both work) |
| `latitude`, `longitude`, `radiusKm` | number | Only stores within the radius. Stores without coordinates (Matas) are left out of such searches. |
| `includeOpeningHours` | boolean | Add opening hours for the coming days (default: true) |
| `maxResults` | integer | Maximum number of stores, 0 = no limit |

Example:

```json
{
    "chains": ["Netto", "Rema 1000", "Jysk"],
    "postalCodes": ["2100", "2200", "2300"],
    "includeOpeningHours": true
}
```

### Output

Each store is one row:

```json
{
    "chain": "Netto",
    "storeId": "0e6f15e1-797f-4933-8f60-352c9a789bc5",
    "name": "Netto Rådhuspladsen",
    "address": "Vestergade 39, 1456 København K",
    "street": "Vestergade 39",
    "postalCode": "1456",
    "city": "København K",
    "country": "DK",
    "latitude": 55.6767469,
    "longitude": 12.5687791,
    "services": ["nonFood", "scanAndGo"],
    "openingHours": [
        {"date": "2026-10-26", "weekday": "Monday", "opens": "07:00", "closes": "24:00", "closed": false}
    ],
    "url": "https://netto.dk/find-butik/",
    "distanceKm": null,
    "scrapedAt": "2026-10-26T13:00:00+00:00"
}
```

Fields: `chain`, `storeId`, `name`, `address`, `street`, `postalCode`, `city`, `country`, `latitude`, `longitude`, `services` (departments and services the chain flags, e.g. bakery, flowers, petFood, scanAndGo, open247, clickAndCollect), `openingHours` (per date, local Danish time), `url`, `distanceKm` (only in location searches), `scrapedAt` (UTC).

### Good to know

- Opening hours cover the next 7 days as published by the chain (Biltema: today only; Jem & fix and PureGym: `null`). Run the Actor again to refresh them.
- Matas does not publish coordinates in its store list, so `latitude` and `longitude` are `null` for Matas.
- If a chain changes its website so the store list cannot be read, the Actor logs a warning for that chain and still returns the other chains. If all chains fail, the run fails.
- Every chain except Lidl needs one request, so a run without Lidl is short. Lidl adds one request per store page.
- A chain with fewer stores than expected is treated as a layout change and reported as failed instead of returning a nearly empty list.

### Data source and legal

Only publicly visible business information (store name, business address, opening hours, coordinates, services) is collected from the chains' public store finder pages. Personal data is not collected. The Actor does not log in, does not bypass blocks and keeps to about one request per second per website. You are responsible for using the data in line with the laws and the terms that apply to you. This Actor is not affiliated with any of the chains.

# Actor input Schema

## `chains` (type: `array`):

Which chains to include. Leave empty for all chains.

## `postalCodes` (type: `array`):

Only return stores in these Danish postal codes, e.g. 2100. Leave empty for all.

## `cities` (type: `array`):

Only return stores in these cities, e.g. Aarhus C. Matching ignores upper/lower case. Leave empty for all.

## `latitude` (type: `number`):

Optional. Center of a location search. Use together with longitude. Only stores with published coordinates can be searched this way; stores without coordinates (Matas) are left out of such searches.

## `longitude` (type: `number`):

Optional. Center of a location search. Use together with latitude.

## `radiusKm` (type: `number`):

Optional. Only return stores within this distance from latitude/longitude.

## `includeOpeningHours` (type: `boolean`):

Add the opening hours for the coming days to every store.

## `maxResults` (type: `integer`):

Maximum number of stores to return. 0 means no limit.

## Actor input object example

```json
{
  "chains": [
    "Netto",
    "Matas",
    "Rema 1000",
    "Lidl",
    "Jysk",
    "Imerco",
    "Thansen",
    "Harald Nyborg",
    "Jem & fix",
    "PureGym",
    "Biltema",
    "Bauhaus",
    "Intersport"
  ],
  "postalCodes": [
    "2100",
    "8000"
  ],
  "includeOpeningHours": true,
  "maxResults": 0
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "postalCodes": [
        "2100",
        "8000"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapme/danish-store-locator").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "postalCodes": [
        "2100",
        "8000",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapme/danish-store-locator").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "postalCodes": [
    "2100",
    "8000"
  ]
}' |
apify call scrapme/danish-store-locator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapme/danish-store-locator"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/W98Y1IwrvnKq8bY4J/builds/yNlQrQxGG6QKnt52V/openapi.json