Furniture E-commerce Dataset โ 140K+ Product Records with Categories & Breadcrumbs (CSV for AI & NLP)
target.com ยท CSV
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:
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๐ 140K+ furniture product records in structured format
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๐ท Includes categories, subcategories, and breadcrumbs for taxonomy mapping
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๐ Delivered as a clean CSV file for easy integration
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๐ Perfect dataset for AI, NLP, and machine learning model training
Best Use Cases:
โ LLM training & fine-tuning with domain-specific data
โ Product classification datasets for AI models
โ Recommendation engines & personalization in e-commerce
โ Market research & furniture retail analytics
โ Search optimization & taxonomy enrichment
Why this dataset?
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Large volume (140K+ furniture records) for robust training
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Real-world e-commerce product data
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Ready-to-use CSV, saving preprocessing time
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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.
Fields
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