H&M Products — Search Prices

What does H&M Product Scraper do?

Scrape H&M public product search — titles, prices with currency, images, SKUs, and product URLs across country storefronts. Export JSON or CSV via Apify API, schedule, or MCP.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by H&M Hennes & Mauritz AB. It reads public H&M search pages only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Fashion catalog panel: pair with Vestiaire Collective Scraper for luxury resale prices or Grailed Listings Scraper for streetwear secondary market.

Why use this H&M scraper?

• 🔍 Keyword search with country locale and sort order
• 💶 Prices kept with currency (formatted_price alias)
• 🌍 Multi-country storefronts — clone-compatible with gauzy_penguin/HM-Product-Scraper
• 🛡️ Public search only (no login)

How much does it cost?

PPE: Actor start + each product result. About $3.49 / 1,000 on Free; lower on paid plans (see Pricing tab).

Input

Field	Description
keywords	Search terms
Country	Storefront locale (e.g. en_gb, de_de)
sortBy	RELEVANCE, PRICE_ASCENDING, …
maxItems	Product cap
proxyConfiguration	Apify Proxy when needed

{
  "keywords": "jacket",
  "Country": "en_us",
  "sortBy": "RELEVANCE",
  "maxItems": 5
}

Sample output

{
  "id": "1301478001",
  "title": "Jacket",
  "brand": "H&M",
  "price": 34.99,
  "currency": "USD",
  "formatted_price": "$34.99",
  "url": "https://www2.hm.com/en_us/productpage.1301478001.html"
}

FAQ

Compatible with gauzy_penguin/HM-Product-Scraper?

Input keys match (keywords, Country, sortBy, maxItems). Output includes listing facts plus formatted_price / productId aliases.

Something broke?

Open an Issue on this Actor’s Apify page.

Related Actors

Actor	Use together when…
Vestiaire Collective Scraper	You compare H&M retail vs luxury resale
Grailed Listings Scraper	You track streetwear resale alongside H&M
Shopify Products Scraper	You monitor DTC boutiques in the same pricing feed
H&M Product Scraper	(this Actor) — H&M search → product rows

Profile: bakos_bence on Apify

Actor ID: bakos_bence/hm-products

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

SEO keywords

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