Furniture E-commerce Dataset – 140K+ Product Records with Categories & Breadcrumbs (CSV for AI & NLP)

Furniture dataset from target

This furniture e-commerce dataset includes 140,000+ structured product records collected from online retail sources. Each entry provides detailed product information, categories, and breadcrumb hierarchies, making it ideal for AI, machine learning, and analytics applications.

Key Features:

• 📊 140K+ furniture product records in structured format

• 🏷 Includes categories, subcategories, and breadcrumbs for taxonomy mapping

• 📂 Delivered as a clean CSV file for easy integration

• 🔎 Perfect dataset for AI, NLP, and machine learning model training

Best Use Cases:
✔ LLM training & fine-tuning with domain-specific data
✔ Product classification datasets for AI models
✔ Recommendation engines & personalization in e-commerce
✔ Market research & furniture retail analytics
✔ Search optimization & taxonomy enrichment

Why this dataset?

• Large volume (140K+ furniture records) for robust training

• Real-world e-commerce product data

• Ready-to-use CSV, saving preprocessing time

• Affordable licensing with bulk discounts for enterprise buyers

 

Note:
Each record in this dataset includes both a url (main product page) and a buy_url (the actual purchase page).
The dataset is structured so that records are based on the buy_url, ensuring you get unique, actionable product-level data instead of just generic landing pages.

Last crawled:

Jun 2025

Data points:

link, title, category, breadcrumbs, brand, department, avg_rating, reviews_count, reviews, tcin, buy_url, meta_data, current_price, regular_price, savings_in_percent, formatted_current_price_type, currency, upc, primary_image, alternate_images, description, specification, highlights, ingredients, nutrients, serving_size, serving_description, warning, at_a_glance, uniq_id, scraped_at