US Retail Product & Barcode Dataset — A comprehensive 1P…

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About this project

Access a high-quality, 1P-verified retail product catalog featuring clean UPCs, brands, prices, and canonical URLs from Walmart and Target. Ideal for data scientists and e-commerce developers, this dataset provides normalized schemas and authentic retail items without clutter, ensuring reliable insights for analytics and machine learning.

The US Retail Product & Barcode Dataset provides a meticulously curated catalog of over 50,000 retail products from major US retailers, specifically Walmart and Target. This dataset is 1P-verified, ensuring that all entries are authentic first-party retail items. It focuses on delivering clean, normalized, and structured data, making it an essential resource for data scientists, machine learning engineers, retail arbitrageurs, and e-commerce developers.

Why Choose This Dataset?

Unlike many scraped retail catalogs that come with issues such as improper formatting, broken links, and clutter, this dataset offers institutional-grade clean data, addressing several common pitfalls:

100% Verified: Only includes genuine products sold directly by the respective retailers.
Preserved Barcodes: UPCs and GTINs are formatted to avoid truncation, ensuring integrity.
Canonical URLs: All product links are clean and direct, free from tracking tokens or session IDs.
Normalized Data Structure: The dataset features organized brands, categories, prices, and inventory indicators.

Free 100-Row Sample Preview

To evaluate the dataset, a free 100-row sample is available for download: free_sample_preview_100_rows.csv. The sample contains a variety of product details including:

Retailer	Item ID	UPC/GTIN	Brand	Title	Price (USD)	In Stock
Walmart	10450114	078742351865	Great Value	Great Value Whole Vitamin D Milk, 1 Gallon	2.46	1
Target	90000007	198101240828	Figmint	2pk Mini Spatula Set Matte Black - Figmint™	10.00	1
Walmart	10291025	033200011101	Arm & Hammer	Arm & Hammer Pure Baking Soda, 1 lb	1.52	1
Target	070059348	052181484445	Safety 1st	Safety 1st White Plastic Drawer Latches (4-Pack)	6.99	1

Access the Full Master Catalog

For organizations seeking the complete dataset, the full catalog can be purchased through Gumroad. This package includes:

A unified cross-referenced table in CSV (UTF-8 BOM) format.
A streaming JSONL file suitable for big data applications (BigQuery, Pandas, Elasticsearch).
A pre-indexed SQLite 3 database designed for efficient queries on UPCs, brands, and categories.
A commercial use license.

👉 Download the Master Catalog on Gumroad (Launch Deal: $24)

Quickstart with Python & SQLite

To get started, run the provided quickstart.py script to explore the sample data:

import csv

with open("free_sample_preview_100_rows.csv", mode="r", encoding="utf-8-sig") as f:
    reader = csv.DictReader(f)
    for row in list(reader)[:5]:
        print(f"[{row['retailer']}] {row['brand']} - {row['title']} (UPC: {row['upc_gtin']})")

This dataset is an invaluable asset for anyone working in retail analytics, product inventory management, or e-commerce product development, delivering clean and actionable insights from trusted sources.