# H\&M Store Locator Scraper (`runtime/hm-store-list`) Actor

Scrape H\&M store locations by country with normalized retail-location fields, store names, addresses, postal codes, opening hours, and source metadata.

- **URL**: https://apify.com/runtime/hm-store-list.md
- **Developed by:** [scraping automation](https://apify.com/runtime) (community)
- **Categories:** E-commerce, Real estate
- **Stats:** 11 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 store locations

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## H\&M Store Locator Scraper

Extract H\&M store locations by country with normalized retail-location fields and source evidence.

### Who this is for

- Retail analysts
- Location intelligence teams
- Competitor monitoring teams

### What it helps you do

- Collect H\&M store locations
- Build store footprint datasets
- Compare addresses, opening hours, and postal codes

### Inputs you can use

- Country
- Maximum stores
- Optional custom start URLs

### Data you get

- store name
- address
- city
- region
- postal code
- country
- opening hours
- phone
- coordinates

### How to get better results

- Start with a narrow, specific query or a small list of source URLs.
- Use realistic limits for the first run, then increase the volume once the output looks right.
- Keep source URLs, dates, and location context when you need repeatable market monitoring.
- Review a few sample records before connecting the dataset to a larger workflow.

### Notes

- Results depend on what the public source exposes at run time.
- Some pages may hide, delay, rename, or remove fields, so individual records can have partial data.
- Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools.

### Support

If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected.

# Actor input Schema

## `country` (type: `string`):

Two-letter country or market code to scrape from H\&M's store locator.

## `maxStores` (type: `integer`):

Maximum number of store records to save. Use 1-10 for smoke tests and higher values for complete country coverage.

## `startUrls` (type: `array`):

Optional H\&M store locator URLs to use instead of the default market URLs.

## `delayAfterLoad` (type: `integer`):

Milliseconds to wait after the page loads before extracting store cards.

## `debugScreenshots` (type: `boolean`):

Save screenshots during the run. Keep disabled for normal runs.

## `failOnNoResults` (type: `boolean`):

If enabled, the Actor fails when no store record can be saved.

## `proxy` (type: `object`):

Optional proxy settings. Keep disabled unless your run environment cannot reach H\&M directly.

## Actor input object example

```json
{
  "country": "US",
  "maxStores": 1000,
  "startUrls": [],
  "delayAfterLoad": 3000,
  "debugScreenshots": false,
  "failOnNoResults": false,
  "proxy": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `stores` (type: `string`):

Dataset view with normalized H\&M store locations.

## `debug` (type: `string`):

Dataset view with source metadata and raw card text.

# 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 = {
    "startUrls": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("runtime/hm-store-list").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 = { "startUrls": [] }

# Run the Actor and wait for it to finish
run = client.actor("runtime/hm-store-list").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "startUrls": []
}' |
apify call runtime/hm-store-list --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=runtime/hm-store-list",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/m7qAhrHLEvOcA12Ed/builds/JSD5VRrdhvJZjdsZk/openapi.json