Walmart Products Dataset

The Walmart Products Dataset is designed for data-driven retailers and researchers seeking reliable product-level data from Walmart’s catalog. This dataset supports Web Scraping Walmart workflows, offering a ready-to-use collection of product attributes, pricing, availability, and category mapping. Whether you’re building competitive dashboards or validating pricing strategies, the Walmart Products Dataset provides a solid foundation for meaningful insights. With consistent field naming and structured records, analysts can accelerate exploration and model-building right away.

Overview

As part of the ScraperScoop catalog, the Walmart Products Dataset delivers comprehensive coverage of Walmart’s online product listings. It’s crafted to be integration-friendly for data pipelines, BI dashboards, and research projects. The dataset blends essential product details with pricing signals and stock status, enabling accurate comparisons across categories and time windows. This makes it an ideal starting point for anyone focusing on retail analytics, pricing intelligence, or assortment planning.

What’s Included

The dataset emphasizes practical, actionable fields to support real-world analysis. You’ll find attributes that are commonly used in Web Scraping Walmart workflows, along with metadata to improve data governance and lineage. A well-structured schema helps you join, filter, and aggregate data efficiently. In addition, a dedicated Sample Dataset is available to preview structure and fields before you Download Dataset.

Core Attributes

• product_id and sku
• name and brand
• category and subcategory
• price, list_price, and currency
• rating and number_of_reviews
• availability_status and stock_level
• description and bullet_points
• rating_trend and review_sources
• image_url and media_metadata
• UPC/GTIN, country_of_origin
• last_updated and data_source_name

Additional fields support data quality and enrichment, including image dimensions, seller type, vendor_id, and related product recommendations. The dataset family is designed to adapt to evolving Walmart catalog structures, ensuring long-term reliability for your datasets and analyses.

Use Cases

The Walmart Products Dataset serves multiple valuable use cases, from day-to-day monitoring to strategic planning. Typical scenarios include:

• Price tracking and competitive intelligence to detect shifts and optimize margins
• Catalog analysis for assortment planning and category insights
• Product research and benchmarking for market studies
• Quality checks and data normalization for downstream analytics
• Integration with BI tools to build dashboards and alerts

For teams exploring Web Scraping Walmart workflows, this dataset pairs well with other Datasets in the ScraperScoop ecosystem, enabling broader retail analytics and cross-platform comparisons. A Sample Dataset helps you validate field presence, record counts, and schema consistency before you commit to a full download.

Data Schema and Quality

Consistent naming conventions and normalized data types support reliable joins and transformations. Each record captures a snapshot of product attributes at a defined timestamp, with provenance metadata to track changes over time. Data quality checks cover completeness, duplicate detection, and anomaly tolerance, so you can trust the Walmart Products Dataset for analytics, machine learning features, and reporting pipelines.

Accessing and Downloading

Getting started is straightforward. You can explore a Sample Dataset to preview the structure and fields, then Download Dataset to obtain the full file. The Download process is designed to be seamless for analysts, data scientists, and developers who need clean, well-documented data ready for ingestion. If you’re evaluating options, the Sample Dataset provides a low-friction way to assess suitability for your project.

How to Use

• Review the Sample Dataset to understand schema and field types
• Configure your ETL or data pipeline to ingest the Walmart Products Dataset
• Set up automated refreshes to keep pricing and stock signals current
• Leverage semantic terms and LSIs like product_attributes, price_history, and stock_trends in your analyses

Licensing, Support, and More

ScraperScoop provides clear licensing terms and usage guidelines for the Walmart Products Dataset and related Datasets. You’ll also find documentation, field dictionaries, and best-practice examples to maximize value. If you need assistance, support resources and community tips are available to help you optimize data extraction workflows, maintain data quality, and implement scalable analytics solutions.

Why Choose ScraperScoop

Choose the Walmart Products Dataset for reliable retail data that supports robust analyses, scalable workflows, and actionable insights. With companion resources like Sample Dataset previews and a straightforward Download Dataset option, you can accelerate your project timeline and deliver compelling results for stakeholders.

Ready to unlock retail intelligence? Explore the Walmart Products Dataset today, download the full dataset, or request access to a Sample Dataset to begin modeling with confidence. Enhance your Web Scraping Walmart projects and build trusted dashboards with ScraperScoop.