Datasets.store

Question

• Ready-to-Use Ecommerce Data
  Datasets.store is an online data marketplace providing ready-to-use ecommerce, product, and retail datasets for business intelligence, artificial intelligence, market research, competitive analysis, and other data-driven applications.
  The platform provides structured and normalized data collected from publicly available ecommerce websites and marketplaces worldwide. Instead of building and maintaining their own web data collection infrastructure, businesses, analysts, researchers, and data teams can access prepared datasets that are ready for analysis and integration into existing workflows.

• Comprehensive Product Data
  Datasets can be selected by industry, country, data source, product category, subcategory, and brand. Depending on the source, available data may include product SKUs, categories, attributes, brands, prices and discounts, stock levels and availability, ratings, reviews, and other ecommerce information.

• AI, BI & Market Intelligence Use Cases
  Datasets.store supports use cases such as competitive benchmarking, pricing intelligence, assortment analysis, market research, trend analysis, demand forecasting, catalog management, AI and machine learning model training, and business intelligence.

• Flexible Updates & Historical Data
  Users can choose from different data update frequencies, including daily, monthly, quarterly, and bi-annual updates, and access historical data for analyzing market and pricing dynamics over time. Data is available in formats such as CSV and Parquet, making it suitable for BI platforms, data pipelines, Python applications, and AI/ML solutions.

• Data Quality & Dataset Samples
  Dataset listings provide information about available fields, record volumes, quality metrics, and update frequency. Sample data can be downloaded to evaluate its structure and relevance before purchasing.

• Custom Dataset Requests
  If a required ecommerce source or dataset is not available, users can also request a new dataset for potential addition to the platform.

Learn more: https://datasets.store