crawlfeeds/HomeDepot-Smart-Home-Dataset

Home Depot Smart Home Product Dataset

A structured dataset of Smart Home products from Home Depot, featuring detailed product specifications, pricing, category taxonomy, highlights, color variants, dimensions, and brand data. Ideal for training product recommendation models, smart home AI assistants, price intelligence systems, and e-commerce search engines.

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Dataset Overview

Field	Details
Source	Home Depot
Total Records	230+
Category Focus	Smart Home, IoT, Connected Devices
Language	English
Formats	CSV
Data Quality	Validated and structured
Provider	Crawl Feeds

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What Makes This Dataset Valuable

• Smart Home category focus — one of the fastest-growing product categories in retail, covering connected devices, automation, and IoT products in high demand for AI training
• Full specifications field — rich structured technical specs (100% coverage) ideal for product compatibility modeling, voice assistant training, and smart home recommendation engines
• Highlights field — curated product selling points (100% coverage) perfect for marketing copy generation and product summarization models
• Real pricing data — both current price and original price fields enable price intelligence, discount modeling, and dynamic pricing AI
• 4-level category hierarchy — granular taxonomy from category_1 through category_4 enables precise product classification across smart home subcategories
• Brand + model number — 100% coverage on brand and model fields, valuable for product matching, deduplication, and compatibility graph building
• UPC + GTIN13 — standard retail identifiers enable cross-platform product matching and catalog enrichment
• Multi-dimensional attributes — color, weight, height, width, depth fields support physical product modeling and logistics AI

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Data Fields

Field	Type	Coverage	Description
product_url	String	100%	Direct product page URL
product_name	String	100%	Full product name/title
gtin13	String	91.2%	Global Trade Item Number (GTIN-13)
description	String	100%	Full product description
brand	String	100%	Product brand name
model_number	String	100%	Manufacturer model number
store_id	String	100%	Home Depot store identifier
price	String	97.5%	Current selling price
original_price	String	10%	Original price before discount
discount	String	10%	Discount amount or percentage
upc	String	100%	Universal Product Code
item_id	String	100%	Home Depot item identifier
store_sku	String	98.3%	Store-level SKU
images	Array	—	Product image URLs array
depth	String	35.4%	Product depth dimension
height	String	59.3%	Product height dimension
width	String	69.5%	Product width dimension
color	String	90.5%	Product color variant
weight	String	38.4%	Product weight
currency	String	100%	Currency code
category_1	String	100%	Top-level category
category_2	String	100%	Second-level category
category_3	String	100%	Third-level category
category_4	String	74.1%	Fourth-level category
breadcrumbs	String	100%	Full navigation breadcrumb path
unique_id	String	100%	Unique record identifier
scraped_at	DateTime	—	Data collection timestamp
site_name	String	100%	Source site name
country	String	100%	Country of the store
specifications	String	100%	Full technical specifications
highlights	String	100%	Key product highlights/selling points
product_type	String	100%	Product type classification
average_rating	String	56.5%	Average customer rating
total_reviews	String	63.3%	Total number of customer reviews

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Use Cases

Smart Home & IoT AI

• Product compatibility modeling — use specifications and model numbers to build device compatibility graphs
• Smart home recommendation engines — train models to suggest complementary connected devices
• Voice assistant product knowledge — enrich Alexa, Google Home, or custom assistant product databases
• IoT device classification — categorize smart home devices by protocol, connectivity, and function

Natural Language Processing

• Product description generation — fine-tune LLMs on Home Depot's product copy style
• Highlights summarization — train abstractive summarization models on the highlights field
• Specification parsing — extract structured attributes from raw specification text
• Semantic product search — build dense retrieval systems using descriptions and specifications

Price Intelligence & Retail Analytics

• Price monitoring — track smart home product pricing across time
• Discount pattern analysis — use original_price and discount fields to model promotional behavior
• Competitive pricing models — compare Home Depot smart home pricing vs competitors
• Demand forecasting — combine ratings and review counts with pricing for demand signals

E-commerce & Product Data

• Catalog enrichment — use GTIN13 and UPC to match and enrich existing product catalogs
• Product deduplication — use model_number and brand for cross-platform matching
• Taxonomy mapping — map other retailer catalogs to Home Depot's smart home category structure
• Image dataset building — use image URL arrays for visual smart home product models

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Sample Data

{
  "product_name": "Smart Wi-Fi Plug Mini, Works with Alexa and Google Home",
  "brand": "TP-Link",
  "model_number": "EP25P4",
  "category_1": "Smart Home",
  "category_2": "Smart Plugs & Outlets",
  "category_3": "Smart Plugs",
  "price": "29.99",
  "original_price": "39.99",
  "discount": "25%",
  "color": "White",
  "specifications": "Voltage: 120V, Max Load: 15A, Wireless: Wi-Fi 2.4GHz...",
  "highlights": "Voice control compatible, Schedule and timer support, Energy monitoring",
  "average_rating": "4.6",
  "total_reviews": "1842",
  "currency": "USD",
  "country": "US"
}

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Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("crawlfeeds/HomeDepot-Smart-Home-Dataset")
df = dataset["train"].to_pandas()

# Filter by brand
tp_link = df[df["brand"] == "TP-Link"]

# Get all products with ratings
rated_products = df[df["average_rating"].notna()]

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

# Products with pricing data
priced = df[df["price"].notna()]

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Data Quality Notes

• Images field (0%) — image URLs are available in the full dataset via crawlfeeds.com
• Depth/weight dimensions — partial coverage reflects Smart Home product category nature (many are small electronics where dimensions are less standardized)
• Discount/original_price (10%) — reflects real-world promotional availability at time of scraping
• scraped_at — timestamp available in full commercial dataset

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Full Dataset & Custom Data

This is a sample dataset. The full CrawlFeeds Home Depot Smart Home dataset contains:

• Thousands of records across all Smart Home subcategories
• Complete image URL arrays
• Full scraped_at timestamps
• Weekly and monthly refresh options
• Expandable to all Home Depot categories (3.4M+ records available)
• Custom subsets by brand, category, price range, or rating

Get the full dataset: crawlfeeds.com

Request custom Home Depot data: crawlfeeds.com/contact

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License

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

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Citation

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

@dataset{crawlfeeds_homedepot_smarthome_2025,
  author    = {Crawl Feeds},
  title     = {Home Depot Smart Home Product Dataset},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/crawlfeeds/HomeDepot-Smart-Home-Dataset}
}

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