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It’s As Easy As Copy And Paste

Start

Offer the listing of product details, pricing, condition, age, etc. for scraping data from H&M.

Download

Just download the data in CSV, Excel, or JSON formats. Just link the Dropbox for storing data.

Schedule

Just schedule the crawlers on hourly, weekly, or daily to have the newest posts on Dropbox.

Sample Data

 

[

 

 

0:{

 

Id:

“0448509001”

url:

“https://www2.hm.com/en_us/productpage.0448509001.html “

scrapedAt:

“2019-12-30T09:44:01.434Z”

brand:

“H&M”

title:

“Slim Mom Jeans”

 

Categories:[

 

0

:

 

“ladies”

1

:

 

“jeans”

2

:

 

“slim”

]

description:

“5-pocket, ankle-length jeans in washed denim with a high waist. Slim legs with frayed, cut-off hems.”

composition:

“Cotton 100%”

price:

“$29.99”

salePrice:

“$29.99”

currency:

“USD”

color:

“Black denim”

sizes:

“0”

availableSizes:

“0”

images:

“https://lp2.hm.com/hmgoepprod?set=quality%5B79%5D%2Csource%5B%2F75%2Fa3%2F75a326a150146d0533fe1b0b59cbaee246675bdd.jpg%5D%2Corigin%5Bdam%5D%2Ccategory%5Bladies_jeans_slim%5D%2Ctype%5BDESCRIPTIVEDETAIL%5D%2Cres%5Bm%5D%2Chmver%5B1%5D&call=url[file:/product/main]”

 

url:

“https://www2.hm.com/en_us/productpage.0448509014.html”

}

 

1:{

 

Id:

“0881709004”

url:

“https://www2.hm.com/en_us/productpage.0881709004.html “

scrapedAt:

“2019-15-30T09:44:01.434Z “

brand:

“H&M”

title:

“Printed Sweatshorts”

 

Categories:[

 

0

:

 

“ladies”

1

:

 

“jeans”

2

:

 

“slim”

]

description:

“Sweatshorts with a printed design. Elasticized drawstring waistband, side pockets, and a back pocket.”

composition:

“Polyester 40%”

price:

“$25.49”

salePrice:

“$25.49”

currency:

“USD”

color:

“Black/NASA”

sizes:

“0”

availableSizes:

“0”

images:

“https://lp2.hm.com/hmgoepprod?set=quality%5B79%5D%2Csource%5B%2F05%2F10%2F05106d1fa7b6476f8a37b2e90b821d8de72e7234.jpg%5D%2Corigin%5Bdam%5D%2Ccategory%5B%5D%2Ctype%5BDESCRIPTIVESTILLLIFE%5D%2Cres%5Bm%5D%2Chmver%5B2%5D&call=url[file:/product/main]”

url:

“https://www2.hm.com/en_us/productpage.0881709004.html”

}

]


 
                                                        

Scrape H&m Listings Data

Our H&M Data Scraper is mainly designed to scrape complete data from H&M. The extracted data includes:

  • Start URLs
  • Max Items
  • Proxy Configuration
  • Inputs
  • Outputs
  • Compute Units Consumptions
  • Extend Output Functions

Scraping H&m Data Gives

H&M Data Scraping can provide you adequate data to help you make the best decisions about go-to-market and offers you:

  • Product Review Analysis
  • Market Trends Prediction
  • Tracking Market Changes

Elevate Your Business With Key Data-insights

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