H&M Product API

Retrieve detailed product data from H&M for enhanced market insights.
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February 6, 2024
2974
ms
311
k requests
44
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Header

x-api-key required

string

This parameter defines the Retailed private key to use for authentification.

Parameters

productId

string

Unique identifier for products on Mango's website.

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Introducing the H&M Product API

Our H&M Product API is the perfect tool for extracting detailed product information from H&M's global e-commerce site. This API provides access to product details such as names, descriptions, prices, and sizes, making it an essential tool for developers and businesses looking to analyze fashion trends or integrate H&M product data into their applications.

Features and Benefits of the H&M Product API

With the H&M Product API, users can access a wealth of information that includes product categories, detailed descriptions, pricing information, and available stock levels. This API is designed to support various applications, from e-commerce solutions to market research platforms, providing real-time data that can help businesses stay ahead in the fast-paced fashion industry.

How to Use the H&M Product API

Our API is easy to integrate and provides comprehensive data that can be customized according to your needs. Whether you're looking to enhance your application with live product feeds or perform in-depth market analysis, our API provides reliable and up-to-date information directly from H&M's product database.

GET
POST
/api/v1/scraper/hm/product
Example Request
curl --location --request GET 'https://app.retailed.io/api/v1/scraper/h&m/product?productId=0459929' --header 'Content-Type: application/json' --header 'x-api-key: <token>'
Response
{"productId":"0459929","name":"Knit Sweater","price":"$24.99","description":"Soft knit sweater available in multiple colors.","url":"https://www2.hm.com/en_us/productpage.0459929001.html"}
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No credit card required
50 requests once
5 requests per second
Clean & parsed data
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18,000 requests
7 requests per second
Clean & parsed data
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110,000 requests
15 requests per second
Clean & parsed data
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