Datasets:
metadata
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Portugal - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Net-a-Porter
dtype: string
- name: '2023-11-08'
dtype: string
- name: PRT
dtype: string
- name: EUR
dtype: string
- name: SAINT LAURENT
dtype: string
- name: BAGS
dtype: string
- name: SHOULDER BAGS
dtype: string
- name: CROSS BODY
dtype: string
- name: '33258524072235985'
dtype: int64
- name: Loulou Toy quilted leather shoulder bag
dtype: string
- name: >-
https://www.net-a-porter.com/pt/en/shop/product/saint-laurent/bags/cross-body/loulou-toy-quilted-leather-shoulder-bag/33258524072235985
dtype: string
- name: >-
https://www.net-a-porter.com/variants/images/33258524072235985/ou/w1000.jpg
dtype: string
- name: '1490.00'
dtype: float64
- name: 1490.00.1
dtype: float64
- name: 1490.00.2
dtype: float64
- name: 1490.00.3
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 18057389
num_examples: 44280
download_size: 5682167
dataset_size: 18057389
Net-a-Porter web scraped data
About the website
Net-a-Porter operates within the thriving Ecommerce industry across the EMEA region, with a strong foothold in the market of Portugal particularly. The brand is renowned for its luxury fashion offerings online, making it a key player in the digital retail landscape. They cater to tastes ranging from high street to haute couture, offering a wide variety of products. A data analysis has been conducted on Net-a-Porters Ecommerce product-list page (PLP) in Portugal. These PLP data sets offer crucial insights on product performance, customer preferences, and market trends, which are critical towards shaping the brand’s strategies in the competitive online fashion space.