Datasets:
File size: 1,550 Bytes
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---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: 'South Korea - Net-a-Porter - Product-level price list'
source_datasets:
- original
tags:
- webscraping
- ecommerce
- 'Net'
- fashion
- fashion product
- image
- fashion image
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
---
# Net-a-Porter web scraped data
## About the website
The **fashion e-commerce industry** in the Asia Pacific, particularly in **South Korea**, has seen tremendous growth over the last few years. Rapid advancements in **digital technology**, together with a sophisticated logistics infrastructure and increasingly affluent consumer base, are driving this expansion. **South Korea’s digital infrastructure** is one of the most advanced in the region, offering online retailers access to a broad, tech-savvy audience. Cultural factors like the Korean Wave (“Hallyu”) are also influencing fashion trends and consumption patterns. The dataset observed provides **e-commerce product-list page (PLP) data** about **Net-a-Porter** in South Korea, shedding light on purchasing patterns and preferences in this vibrant market.
## Link to **dataset**
[South Korea - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20South%20Korea/r/recbd28ziED1dxjSE)
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