What is Product Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Product Data?
Product data refers to structured information about goods and services, covering key attributes like pricing, availability, specifications, and consumer demand. This data is essential for e-commerce platforms, manufacturers, and retailers looking to optimize inventory, pricing, and marketing strategies.
Many product data providers offer API integrations, enabling seamless access to real-time pricing, competitor analysis, and product information updates. **
What Are Examples of Product Data?
Examples of Product Data include information such as:
- Product Pricing Data: Information on current, historical, and dynamic pricing strategies.
- Stock Keeping Unit (SKU) Data: Unique identifiers for tracking inventory and product variations.
- Special Offer & Promotion Data: Details on discounts, flash sales, and limited-time promotions.
- Competitor Pricing Data: Price comparisons across brands, retailers, and marketplaces.
- Product Description Data: Text and metadata about a product’s features, specifications, and branding.
- Logistics & Supply Chain Data: Shipping times, delivery networks, and stock movement tracking.
Editor's Pick
Access the Best Product Databases & Datasets
Datarade offers a variety of product datasets, from pricing intelligence to consumer reviews and logistics tracking. These datasets help businesses optimize pricing, track competitor trends, and improve digital shelf visibility.
US Product Data | Product Pricing Data | Ecommerce Product Data | Clean & Organized Data, UPC to product detail mappings
TagX Ecommerce Product Data | Ecommerce Product listing Details, Pricing, Reviews | Amazon, Flipkart, Tmall & more | Global Coverage | Monthly updates
Product Data | Home Furnishing & Electronics Store Locations in US and Canada | Places Data
Amazon Data | Amazon Product Data | Amazon Reviews Data | Seller Performance, Product Rankings for Competitive Analysis
Product Data | Commercial Vehicle Data | Car Specs, Equip & Price (Europe)| Updated Monthly | Product & Price Strategy
Alesco CPG Database - Product Data - 30+ Million Brand Loyal Consumers - 22.9+ Million Opt-in Emails Available - US Data - available for licensing!
WebAutomation | Amazon best seller products dataset - Global Coverage - Pricing Data,Ecommerce Product Dataset, Pricing Database - Seller Ratings Data
Product Review Dataset [Retail Intelligence] – Multi-industry insights for training AI and tracking product perfomance and place for improvement
Global Product Data | Competitor Pricing Data | Stock Keeping Unit (SKU) Data | 1M+ Grocery and Retail stores with SKU level Prices
Dataplex: FDA Medical Device Data | 24M+ Rows of Key Device Product Data for Research & Analysis
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Top Product Data Providers & Companies
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Alesco Data
CoverageUSAVWe've collaborated with Alesco for several months now, and I have nothing but praise for their services. Their team is absolutely outstanding. Our requirements for data were quite stringent, yet they not only met but exceeded our expectations. If you're in need of a reliable provider who delivers exceptional service when it matters most, don't hesitate to choose them.
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APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Datatorq
CoverageUKGermany+27VHello, I've used the data to compare our products with the products offered by the competition, The details offered by Datatorq helped me in my research and my analises, providing accurate information.
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MealMe
CoverageUSAUK+248MealMe delivers real-time product availability data from restaurants, grocery stores, and retail stores. Our proprietary technology empowers businesses with actionable insights for competitive intelligence, pricing analysis, and market research, ensuring reliable, scalable data.GroceryTop 100 CoverageRestaurantTop 1000 CoverageRetailTop 100 Coverage -
Consumer Edge
CoverageUSAUK+248Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Transaction data, scanner data, web data, and email receipt data spans dozens of industries, hundreds of companies, and global geographies to empower strategic decision-making.100M+Credit & Debit Cards30K+Public & Private Brands700+Parent Companies -
Altosight
CoverageUSAUK+248✔ Extract Data Anywhere AI scrapers bypass all website blocks. ✔ Clean & Enrich Data We clean and add insights like unit prices. ✔ Flexible Delivery API, FTP, CSV, JSON, Excel. ✔ Affordable Pricing From $29, with pilot projects. ✔ GDPR Compliant Your data meets regulations.Custom-FitTailored Data SolutionsAI ScrapeCAPTCHAs & Dynamic ContentFrom $29Flexible Pricing
Popular Use Cases for Product Data
Product data plays a vital role in retail and e-commerce analytics. Common use cases include:
- Market Research: Understanding trends, consumer demand, and competitor offerings.
- Pricing Strategy: Analyzing real-time price changes and implementing competitive pricing models.
- Market Intelligence: Monitoring category performance and product positioning.
- Product Research: Evaluating product specifications and demand before launching a new item.
- Price Analysis: Assessing pricing history and predicting future price movements.
- Digital Shelf Analytics: Measuring product visibility across different e-commerce platforms.
- Product Data Enrichment: Enhancing listings with updated descriptions, images, and specifications.
- Supply Chain Optimization: Tracking inventory and supplier availability.
Main Attributes of Product Data
Product datasets typically include the following attributes:
Consumer Information
- Brand Name: The company or manufacturer producing the product.
- Product Category: Classification such as electronics, clothing, or home goods.
- Customer Reviews & Ratings: Feedback from consumers, often used for sentiment analysis.
Price Data
- Current Price: The latest market price of the product.
- Historical Pricing: Price fluctuations over time for trend analysis.
- Discounts & Promotions: Special offers and markdowns applied to the product.
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Competitor Pricing: Comparative pricing from rival brands and marketplaces.
Logistics Data
- Stock Availability: Whether the product is in stock or out of stock.
- Supplier Information: Details of manufacturers, distributors, and wholesalers.
- Shipping & Delivery Time: Estimated time for delivery and available shipping methods.
- Returns & Warranty Policies: Information on product return conditions and warranty coverage.
Technical Data
- Product Dimensions & Weight: Physical measurements for logistics and display purposes.
- Material Composition: The raw materials used in manufacturing.
- Regulatory Compliance: Certifications like FDA approval, CE marking, or sustainability labels.
- Barcode & SKU: Universal product codes such as UPC, EAN, GTIN, or ISBN.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The last name (surname) of a contact. | View 336 datasets | |
| String | The first name of a contact. | View 330 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 296 datasets | |
| String | The name of a country. | View 236 datasets | |
| String | The approx. number of employees working for a company. | View 217 datasets | |
| String | The name of a city. | View 214 datasets |
Why Is Product Data Important?
Product data is crucial for retailers, brands, and marketplaces to make data-driven decisions. Businesses use it to optimize pricing, enhance product listings, and improve supply chain management.
For example, e-commerce companies rely on product data to adjust prices dynamically based on competitor trends, while brands use digital shelf analytics to ensure their products are visible and attract higher conversions. **
How to Find Product Information?
To gather product information, businesses use:
- Barcode Lookup Tools: Enter UPC, EAN, GTIN, or ISBN codes to retrieve details.
- E-commerce APIs: Connect to online marketplaces for real-time product data.
- Retail Scraping: Extract product listings and pricing from competitor websites.
- Manufacturer & Supplier Feeds: Direct access to official product catalogs.
What is a Product Data API?
A Product Data API provides real-time access to pricing, stock availability, and product specifications. Popular product data API providers integrate with retail, e-commerce, and brand intelligence platforms. Businesses use APIs to:
- Monitor Competitor Prices: Track changes in pricing and promotions.
- Retrieve Product Details: Access product descriptions, dimensions, and materials.
- Automate Inventory Updates: Ensure stock levels are accurate across platforms.
How to See a Product Code?
To identify a product code (UPC, EAN, GTIN, or ISBN):
- Locate the Code: Check the barcode label on the product.
- Use a Lookup Tool: Enter the code into a barcode search engine.
- Retrieve Product Information: View details such as manufacturer, specifications, and price.
What is Product Information Management (PIM)?
Product Information Management (PIM) is a system or process used by businesses to centralize, manage, and distribute product data across various sales and marketing channels.
Key Functions of PIM:
- Centralized Data Management: Stores all product-related data (e.g., descriptions, specifications, images, SKUs) in one location.
- Data Enrichment: Enhances product information with additional details, attributes, and media to improve customer experience.
- Multichannel Distribution: Synchronizes product data across e-commerce platforms, marketplaces, websites, mobile apps, and catalogs.
- Improved Accuracy & Consistency: Reduces errors by ensuring uniform product information across all touchpoints.
- Integration with Other Systems: Connects with ERP, CRM, and other business tools for seamless data flow.
Who Uses PIM?
E-commerce businesses and retailers use Product Information Management (PIM) systems to manage product listings across multiple sales channels, ensuring consistency and accuracy across platforms. Manufacturers and suppliers rely on PIM to provide distributors and resellers with precise and up-to-date product details, reducing discrepancies and improving supply chain efficiency. Marketing and sales teams leverage PIM to streamline product launches and promotional campaigns, ensuring that all product-related information is accurate, engaging, and readily available for customers.
The Future of Product Data in the Retail Market (2025)
By 2025, AI-driven product analytics and real-time data automation will shape the retail landscape. As retail markets evolve, businesses that leverage high-quality product data will stay ahead by optimizing pricing, improving inventory forecasting, and enhancing customer engagement.
Emerging trends include:
- Dynamic Pricing Adjustments: AI-powered tools will enable real-time pricing changes based on demand.
- Enhanced Consumer Insights: Sentiment analysis will refine product offerings based on reviews.
- Automated Inventory Management: Smart algorithms will predict restocking needs and reduce supply chain inefficiencies.
- Personalized Product Recommendations: Retailers will leverage machine learning to tailor shopping experiences.
Frequently Asked Questions
How is the Quality of Product Data Maintained?
The quality of Product Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Product Data Updated?
The update frequency for Product Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Product Data Secure?
The security of Product Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Product Data Delivered?
Product Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Product Data.
How Much Does Product Data Cost?
The cost of Product Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Product Data for your needs.
What Are Similar Data Types to Product Data?
Product Data is similar to other data types, such as Consumer Review Data, Ecommerce Data, Online Purchase Data, Online Shopping Data, and Ecommerce Store Data. These related categories are often used together for applications like Market Research and Pricing Strategy.
