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H&M Scraper

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H&M Scraper

H&M Scraper

emastra/hm-scraper

H&M Scraper is an Apify actor for extracting product data from hm.com fashion on line store. It allows you to scrape the whole site, specific categories and products. It is build on top of Apify SDK and you can run it both on Apify platform and locally.

You can access the H&M Scraper programmatically from your own Python 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.

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    "startUrls": [{ "url": "https://www2.hm.com/en_us/index.html" }],
10    "maxItems": 100,
11    "proxyConfiguration": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("emastra/hm-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

H&M Scraper API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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