01
Department and concept pages
Review the attributes and displayed values for each item.
All Data API targets
Data API•Managed extraction
H&M Scraper API for Fashion Data
Get structured H&M data on article variants, garment composition, sizes, prices and local stock.
Structured records · Parser maintenance included
Source
Department and concept pages
Managed extractionAccess, extraction and parser maintenance
Example fields
- H&M article number
- Price and market
- Garment composition
H&M: example source and field groups.
Available data
H&M pages you can collect
Choose the pages that match your project, then check field coverage in a sample.
02
Garment article pages
Review public content and the profile or page it belongs to.
03
Color and size variants
Review the attributes and displayed values for each item.
Business use cases
What you can build with H&M data
Structured output
H&M data fields
Field availability varies by page. Check a representative sample before choosing the fields for your project.
01
H&M article number
Link the observation to the right item and source.
02
Product name and department
Preserve source wording for search and comparison.
03
Price and market
Keep currency, terms and collection time with displayed values.
04
Color and pattern
Compare like-for-like items using their distinguishing attributes.
05
Available size run
Compare like-for-like items using their distinguishing attributes.
06
Garment composition
Compare the attributes that distinguish models, variants or formats.
07
Fit and care detail
Compare the attributes that distinguish models, variants or formats.
08
Variant stock and capture time
Record the state shown at collection time.
How it works
From H&M pages to useful records
- 01
Share example pages
Send a few URLs and the markets or locations you need.
- 02
Review a sample
Check useful fields, missing values and source links before choosing a plan.
- 03
Agree delivery
Set record volume, refresh frequency and how the data reaches your application.
- 04
Put the data to work
WebScrapingAPI runs collection and maintains extraction as the source changes.
Managed maintenance
We maintain collection. You use the data.
WebScrapingAPI
Collection and maintenance
- Source access
- Data extraction
- Parser updates
- Quality monitoring
Your team
Your data project
- Choose pages and markets
- Select the fields you need
- Set delivery and refresh requirements
- Build your analysis and applications
Get started
Try H&M data in your workflow
Sample data
Check the sample against your own requirements
Check field coverage, missing values and source links in your own tools.
Talk to a data expertFAQ
H&M API questions
What H&M data can I collect?
Get structured H&M data on article variants, garment composition, sizes, prices and local stock.
Which fields are available?
Field availability varies by page. Check a representative sample before choosing the fields for your project.
How do I get started with H&M data?
Send example URLs, the fields you need and your expected volume. Review a sample with our team, then agree coverage, delivery and pricing.
Who maintains H&M extraction?
WebScrapingAPI operates source access, extraction, parser maintenance and quality monitoring. Your team decides how to use the records in its applications and analysis.
How is H&M data priced?
Pricing depends on the source pages, fields, volume, refresh frequency and delivery method. Request a quote for the collection you need.
Your H&M data
Request H&M sample data
Share example pages, required fields and refresh frequency. We will help you evaluate coverage and delivery.