Weekday Scraper

Extracting public data from weekday.com has never been easier. Our Weekday scraper will help you easily collect all public product names, prices, sizes, fits, descriptions, materials, images, categories, best-sellers, and a lot more.

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Generic scraping image

Utilize Web Scraper IDE,
or purchase a chosen dataset

 

  • Scrape chosen products
  • Scrape new arrivals
  • Scrape item descriptions
  • Scrape specific categories

Weekday Scraper Overview

  • Easy data scraping for beginners
  • All-in-One platform integrates with the best proxy services
  • Utilizes proprietary technology to unlock sites
  • Adapts to site changes: when Weekday changes its site structure, our web scraper will adapt
  • Infinitely scalable – collect as much data as you need quickly and completely
  • Fully-compliant with industry best practices and privacy regulations (GDPR, CCPA)

 

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Weekday category discovery

Sample Input
url
https://www.weekday.com/en_sek/index.html
country
se
currency
SEK
country_name
Sweden
language
English
vendor
weekday_se
one_brand
Arket
Sample Output
                
                    {
    "product_name": "Jersey-Trägerkleid Arya",
    "product_url": "https:\/\/www.weekday.com\/de_de\/women\/dresses-jumpsuits\/women-maxi-dresses\/product.arya-strappy-jersey-dress-black.1069033001.html",
    "product_price": [
        "€ 50"
    ],
    "currency": "EUR",
    "product_colours": [
        {
            "url": "https:\/\/www.weekday.com\/de_de\/women\/categories\/new-arrivals\/product.jersey-tr%C3%A4gerkleid-arya-black.1069033001.html",
            "name": "Black"
        },
        {
            "url": "https:\/\/www.weekday.com\/de_de\/women\/categories\/new-arrivals\/product.jersey-tr%C3%A4gerkleid-arya-off-white.1069033002.html",
            "name": "Off-white"
        }
    ],
    "category": "Neu im Shop",
    "category_url": "https:\/\/www.weekday.com\/de_de\/women\/categories\/new-arrivals.html",
    "language": "German",
    "sequence": {
        "https:\/\/www.weekday.com\/de_de\/women\/categories\/new-arrivals.html": {
            "1": [
                1
            ]
        }
    },
    "root_category": "Women_clothes"
}                
              

How to develop a web scraper

STEP 1

Choose from ready-made code templates or start from scratch

STEP 2

Develop and customize your scraper using Bright Data’s ready-made scraping functions
Develop and customize your scraper

STEP 3

Choose when to get the data: In real-time or batches
Choose when to get the data

STEP 4

Choose the file format and where to send the data
Choose format and where to send the data

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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