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crawlfeeds/IKEA-Home-Decor-Furniture-Dataset

IKEA Home Decor & Furniture Product Dataset A rich, structured dataset of IKEA home decor and furniture products, featuring deep category taxonomies, full product descriptions, measurements, features, and image URLs. Ideal for training product recommendation models, interior design AI applications, multimodal models, and e-commerce search systems. Dataset Overview Field Details Source IKEA (multi-country) Total Records 400+ Category Focus Home… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/IKEA-Home-Decor-Furniture-Dataset.

sourceHugging Facecc-by-nc-4.0updated 6mo agoView on Hugging Face
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Dataset Card

IKEA Home Decor & Furniture Product Dataset

A rich, structured dataset of IKEA home decor and furniture products, featuring deep category taxonomies, full product descriptions, measurements, features, and image URLs. Ideal for training product recommendation models, interior design AI applications, multimodal models, and e-commerce search systems.


Dataset Overview

FieldDetails
SourceIKEA (multi-country)
Total Records400+
Category FocusHome Decor, Furniture, Smart Home
LanguageEnglish
FormatsCSV / JSON
Data QualityValidated and structured
ProviderCrawl Feeds

What Makes This Dataset Valuable

  • 4-level category hierarchy — category1 through category4 provides granular product taxonomy rarely available in open datasets, enabling precise product classification models
  • Rich text fields — description, summary, and features together provide dense, high-quality product text suitable for LLM fine-tuning and semantic search training
  • Image URLs included — primaryimage and additionalimages fields make this dataset multimodal-ready for computer vision and visual recommendation tasks
  • Structured measurements — dimensional data for furniture and home products, invaluable for interior design AI and spatial planning applications
  • Multi-country coverage — IKEA product data collected across multiple countries via the country field, enabling cross-market analysis
  • Package & variation data — packages, sub_products, and variations fields support complex product configuration modeling

Data Fields

FieldTypeCoverageDescription
product_urlString100%Direct product page URL
countryString100%Country of the IKEA store
product_nameString100%Full product name/title
product_idString100%IKEA internal product identifier
product_typeString100%Product type classification
currencyString100%Currency code
summaryString97.5%Short product summary
item_numberString100%IKEA item/article number
descriptionString100%Full product description
priceFloatPrice (available in full dataset)
average_ratingFloatAverage rating (full dataset)
reviews_countIntReview count (full dataset)
ratings_breakdownString79.7%Rating distribution
category_1String100%Top-level category
category_2String100%Second-level category
category_3String100%Third-level category
category_4String95.6%Fourth-level category
breadcrumbsString100%Full navigation breadcrumb path
warranty_textString51.9%Warranty summary
warranty_descriptionString51.9%Detailed warranty information
rawproductdetailsString100%Raw structured product attributes
additional_imagesString100%Additional product image URLs
primary_imageString99.7%Main product image URL
packagesString100%Package dimensions and weights
sub_productsString59%Component/sub-product details
product_detailsString98.2%Structured product detail attributes
variationsStringProduct variants (color, size)
measurementsString95.5%Product dimensions
featuresString97.3%Key product features list
componentsStringIncluded components
materialandcareString99.6%Materials used and care instructions
uniq_idString100%Unique record identifier
scraped_atDate100%Data collection timestamp

Use Cases

Natural Language Processing

  • Product description generation — fine-tune LLMs to generate product copy in IKEA's style
  • Semantic product search — train dense retrieval models on rich product text
  • Zero-shot product classification — leverage 4-level category labels for classification benchmarks
  • Multilingual product NLP — use multi-country data for cross-lingual product understanding

Recommendation Systems

  • Collaborative filtering — use category taxonomy and product attributes as item features
  • Content-based filtering — rich descriptions and features enable similarity-based recommendations
  • Bundle recommendations — sub_products and components fields reveal natural product pairings

Computer Vision & Multimodal AI

  • Product image classification — train visual models using image URLs and category labels
  • Visual search systems — pair product images with text descriptions for multimodal retrieval
  • Interior design AI — combine measurements, images, and categories for room planning models

E-commerce & Retail Intelligence

  • Competitor price monitoring — track IKEA pricing across countries
  • Product taxonomy mapping — map competitor catalogs to IKEA's category structure
  • Assortment analysis — understand product range depth across home decor categories

Sample Data

json
{
  "product_name": "BILLY Bookcase",
  "product_type": "Bookcase",
  "category_1": "Storage & organisation",
  "category_2": "Bookcases & shelving units",
  "category_3": "Bookcases",
  "summary": "Adjustable shelves can be arranged according to your needs.",
  "description": "You can customise your storage as needed with the adjustable shelves...",
  "measurements": "Width: 80 cm, Depth: 28 cm, Height: 202 cm",
  "material_and_care": "Particleboard, Fibreboard, Paper foil",
  "primary_image": "https://www.ikea.com/...",
  "country": "US",
  "currency": "USD"
}

Loading the Dataset

python
from datasets import load_dataset

dataset = load_dataset("crawlfeeds/IKEA-Home-Decor-Furniture-Dataset")
df = dataset["train"].to_pandas()

# Filter by category
home_decor = df[df["category_1"] == "Home décor"]

# Get all products with measurements
with_measurements = df[df["measurements"].notna()]

# Text fields for LLM training
text_data = df[["product_name", "description", "features", "summary"]].dropna()

Full Dataset & Custom Data

This is a sample dataset. The full CrawlFeeds IKEA dataset contains:

  • Tens of thousands of records across all IKEA product categories
  • Complete price data across multiple countries
  • Ratings and reviews data
  • Weekly and monthly refresh options
  • Custom subsets by category, country, or product type

Get the full dataset: crawlfeeds.com

Request custom IKEA data: https://crawlfeeds.com/contact_us


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License

This dataset is made available under CC BY-NC 4.0. It is intended for research and non-commercial use. For commercial licensing, please contact crawlfeeds.com/contact.


Citation

If you use this dataset in your research or project, please cite:

bibtex
@dataset{crawlfeeds_ikea_homedecor_2025,
  author    = {Crawl Feeds},
  title     = {IKEA Home Decor & Furniture Product Dataset},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/crawlfeeds/IKEA-Home-Decor-Furniture-Dataset}
}

Data collected and maintained by [Crawl Feeds](https://crawlfeeds.com) — structured web data for AI, analytics, and business intelligence.