7 Best Amazon Datasets in 2026
We’ll explore some top choices, showing you what each dataset offers and how you can use it. Whether you’re a beginner or an experienced data scientist, there’s something here for everyone. So, let’s get into it and find the perfect dataset for your next big project!
Top 7 Best Amazon Datasets in 2025
Looking for the best Amazon datasets? We’ve compiled a list of the top 7 options that are perfect for various data projects. Let’s explore these valuable resources together.
In a hurry? See the TL;DR list below:
- Bright Data — Extensive, customizable Amazon datasets with smart updates.
- Oxylabs — High-quality, flexible eCommerce datasets and delivery.
- Exellius — Global Amazon seller contacts and lead data.
- Grepsr — Best seller rankings and historical product trends.
- APISCRAPY — Real-time Amazon data extraction, AI-powered.
- TagX — Multi-platform product analytics with global coverage.
- AWS Data Exchange — Amazon and industry datasets, seamless AWS integration.
Bright Data

Bright Data offers a comprehensive collection of Amazon datasets. It provides detailed information about products, reviews, ratings, prices, and more. The datasets are available in multiple formats, including JSON, CSV, and Parquet. These datasets encompass a diverse range of Amazon marketplaces worldwide. Users can access up-to-date data through smart updates, ensuring fresh information.
Bright Data is highly customizable, allowing businesses to filter and format the data according to their specific needs. The datasets are structured and ready for integration with AI and machine learning models. While the data is ethically sourced and compliant with privacy laws, pricing may be high for smaller businesses.
Key Features
- Comprehensive Product Information: Bright Data offers access to a diverse range of product-related data, including pricing, reviews, ratings, descriptions, availability, and more.
- Global Coverage: The datasets include information from global Amazon marketplaces, ensuring a comprehensive and international perspective.
- Multiple Formats: Datasets are available in various formats, including JSON, CSV, and Parquet, providing flexibility for different business needs.
- Smart Updates: The service offers the ability to access only new or updated records, minimizing costs and ensuring up-to-date information.
- Customization: The datasets are customizable, allowing users to filter and format the data according to specific business needs.
Pros
- Massive dataset with a wide variety of data points.
- Consistently updated, ensuring the data stays relevant.
- Offers a variety of output formats for easy integration with business workflows.
- Provides an API for seamless automation and real-time data access.
Cons
- Pricing can be expensive for smaller businesses.
- May require some technical expertise to integrate the data into workflows.
Pricing
- Starting Price: $250 for 100K records
- Subscription Discounts: Biannual (25% off), Quarterly (50% off), Monthly (80% off)
Oxylabs

Oxylabs offers high-quality Amazon datasets and covers a range of eCommerce platforms, including Amazon. The data is well-organized and structured in formats like CSV and JSON, making it easy to integrate into existing systems. Their data collection process is ethical, ensuring that the information is both accurate and up-to-date.
Oxylabs offers flexible delivery options, enabling businesses to select the frequency and format that best suits their needs. Custom schedules are also available, ensuring data is delivered as required. These features make Oxylabs an excellent option for businesses that need reliable and scalable solutions. Companies can use the data for market analysis, pricing strategies, and competitive intelligence, helping them stay ahead in the eCommerce industry.
Key Features
- Extensive Coverage: Provides access to Amazon data along with information from other major e-commerce platforms.
- Flexible Delivery: Offers delivery options in multiple formats, including CSV, JSON, and Parquet, making it easy to integrate with business systems.
- Ethical Data Collection: Ensures the data is collected in compliance with all legal and privacy regulations.
- Smart Automation enables businesses to create custom schedules for data delivery and automate the extraction process.
Pros
- High-quality, compliant data ensures reliability.
- Scalable solutions suitable for businesses of all sizes.
- Flexible data delivery options to match various business needs.
Cons
- Higher cost compared to some competitors.
- May require technical expertise to fully integrate with existing systems.
Pricing
- Custom pricing based on specific data needs and delivery preferences.
- Contact Oxylabs for a detailed quote.
Exellius

Exellius provides a vast dataset of over 1 million contacts from Amazon and non-Amazon sellers. The dataset includes verified emails, direct dials, and social media profiles like LinkedIn. Data is categorized by 250 countries, offering a global reach.
Exellius’s dataset is ideal for lead generation and market research, helping businesses find decision-makers easily. The data includes over 20 attributes such as seller performance, product volumes, and ratings. Regular updates ensure data accuracy. Custom filters allow businesses to get tailored datasets based on specific criteria. The pricing is accessible for businesses of all sizes, although larger datasets may be costly.
Key Features:
- Extensive Contact Database: Exellius offers a dataset with over 1 million verified contacts, including decision-makers and sellers from both Amazon and non-Amazon platforms.
- Wide Coverage: The dataset includes contacts from 250 countries, offering global reach.
- Multiple Contact Points: Includes emails, direct dials, and even social media profiles (LinkedIn), making it perfect for lead generation.
- Customizable: Users can filter the dataset by industry, company size, and other parameters to obtain highly targeted contact lists.
Pros
- Comprehensive dataset with verified contact information.
- Ideal for lead generation and market research.
- Regular updates to ensure data accuracy and reliability.
- Provides a high level of detail on each seller’s performance.
Cons
- Best suited for B2B applications, rather than e-commerce product data.
- Pricing may be out of reach for small businesses or startups.
Pricing: The Free plan costs $0 per month and provides 75 credits. The Basic plan starts at $59 per month and offers 6,000 credits..
Grepsr

Grepsr provides Amazon Best Seller data, ideal for tracking top-selling products across various categories. The dataset includes up to two years of historical data, enabling businesses to spot trends and predict future bestsellers. It is organized into categories and sub-categories, making it easy to compare similar products. This data is valuable for competitive intelligence, allowing businesses to monitor their competitors’ products.
Companies can adapt their strategies based on best-seller trends to stay competitive. The dataset is customizable, and it integrates easily with existing tools. However, it focuses primarily on best-sellers, so businesses seeking more detailed product data might find it limited.
Key Features
- Best Seller Rankings: Grepsr’s dataset provides detailed information on Amazon’s best-selling products, offering insights into top products in various categories and sub-categories.
- Historical Data: With up to 2 years of historical data, users can analyze trends over time and predict future best-sellers.
- Competitive Intelligence: By tracking best-sellers, businesses can monitor their competition and stay ahead of market trends.
- Categorized Data: The dataset is organized by categories, making it easier to compare products within similar niches.
Pros
- Focuses on best-selling products, helping businesses stay on top of trends.
- Valuable for competitive analysis and product development.
- Comprehensive global coverage, spanning 249 countries.
Cons
- Not as comprehensive as other datasets in terms of detailed product information.
- Pricing can be expensive for those who need data on multiple categories.
Pricing: Starting at $350 for the service, this offering includes a range of features and benefits.
APISCRAPY

APISCRAPY offers Amazon data extraction services, focusing on product details, prices, ratings, and reviews. The service provides real-time data extraction, allowing businesses to track product availability and price changes. It also includes valuable seller performance data. APISCRAPY is customizable, allowing users to adjust data scraping to their specific needs.
The service uses AI and automation to collect accurate and efficient data. Real-time updates help businesses stay competitive in the market. APISCRAPY removes the need for infrastructure, lowering setup costs. However, using AI features may require technical expertise. The pricing is affordable for small to medium-sized businesses.
Key Features
- Real-Time Data: APISCRAPY provides real-time data extraction, enabling businesses to stay informed about price changes, product availability, and reviews.
- Detailed Product Information: The dataset comprises comprehensive product data, including names, descriptions, pricing, ratings, and reviews.
- Seller Data: Users can access data on Amazon sellers, including their performance metrics and product rankings.
- AI and Automation: The service uses AI-driven technology to streamline the data extraction process, ensuring accuracy and efficiency.
Pros
- AI-driven extraction service ensures high accuracy.
- Real-time pricing and product data can help businesses stay competitive.
- Customizable data extraction to fit specific needs.
Cons
- Relies on public data scraping, which may limit access to some types of information.
- High volume data extractions may require additional infrastructure.
Pricing: Start-Ups plan offers up to 10 websites for $499/month. Mid-Level plan includes 30 websites for $1299/month.
TagX

TagX specializes in eCommerce product data across several platforms, including Amazon, Flipkart, and Tmall. The dataset encompasses over 70 countries, offering comprehensive global market insights. It includes detailed product attributes, such as descriptions, pricing, availability, and reviews. TagX also tracks competitive data, making it useful for businesses that want to analyze their competitors’ pricing and product strategies.
The data is updated in real-time, ensuring businesses have the latest information. TagX offers flexibility in terms of delivery, providing data in CSV or XLS formats. The pricing may be high for small businesses, but its comprehensive coverage across multiple platforms adds significant value. The dataset is ideal for businesses looking for cross-platform insights.
Key Features
- Wide Range of E-commerce Platforms: TagX not only covers Amazon but also includes data from platforms like Flipkart, Tmall, and AliExpress.
- Detailed Product Listings: The dataset includes detailed product descriptions, pricing, availability, customer reviews, and ratings.
- Global Coverage: TagX covers over 70 countries, providing a broad view of international e-commerce data.
- Competitive Analysis: Businesses can monitor competitor pricing, product strategies, and availability to make informed decisions.
Pros
- Extensive global coverage across multiple platforms.
- Provides valuable insights into competitive strategies.
- Real-time updates for accurate market trends.
Cons
- High cost for comprehensive data sets.
- May require technical expertise to set up automated data extraction.
Pricing
- Starts at $900 for one-time purchases.
- Monthly and yearly subscription options are also available.
AWS Data Exchange

AWS Data Exchange provides access to a diverse range of datasets, including Amazon-related data, from over 300 providers. It offers datasets from various industries, including retail, healthcare, and finance. Businesses can select datasets that meet their needs and enjoy flexible delivery options. AWS Data Exchange integrates easily with AWS services, making it simple to analyze and process large amounts of data.
Whether you need to track product prices, customer reviews, or inventory levels, this platform has the data you need. It is an excellent choice for businesses looking for data solutions that can be easily added to their existing systems and workflows. It helps companies make better, data-driven decisions.
Key Features
- Diverse Data Catalog: Provides access to over 300 datasets from reputable providers, including Amazon-related data.
- Flexible Delivery Options: Datasets can be delivered via various methods such as API requests, tables, and data files.
- Industry Solutions: Offers data tailored to specific industries like retail, finance, and healthcare.
- Seamless Integration: Easily integrates with AWS services for processing and analyzing large datasets.
Pros
- Access to a wide variety of datasets across multiple industries.
- Seamless integration with AWS services makes data analysis easier.
- Trusted providers ensure high-quality, reliable data.
Cons
- Catalog can be overwhelming, requiring time to navigate.
- Primarily designed for businesses already using AWS services.
Pricing
- Pricing varies based on the dataset and provider.
- Explore the AWS Data Exchange catalog for detailed pricing.
Conclusion
Choosing the right Amazon dataset provider that depends on your specific business needs, technical capabilities, and budget. Whether you’re seeking comprehensive product data, seller insights, or marketing analytics, the providers listed above offer a range of solutions to support your objectives. Consider your requirements carefully to choose the provider that best aligns with your goals and resources.
If you need further assistance in evaluating these providers or have specific questions about their offerings, feel free to ask!

