You can access the H&M programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "start_urls": [
10        { "url": "https://www2.hm.com/en_gb/index.html" },
11        { "url": "https://www2.hm.com/en_gb/home/seasonal-trending/bestsellers.html" },
12    ],
13    "max_pages": 1,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("datasaurus/h-m").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

H&M API in Python

The Apify API client for Python is the official library that allows you to use H&M API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

H&M API in JavaScript

H&M API through CLI

H&M OpenAPI definition

H&M API

n8n-mcp

nourishing_courier/web-data-for-ai

n8n-mcp

Ani Björkström

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datasaurus/youtube-channels-rental

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datasaurus/zarahome

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