Gain extensive insights with our Amazon datasets, encompassing detailed product information including pricing, reviews, ratings, brand names, product categories, sellers, ASINs, images, and much more. Ideal for market researchers, data analysts, and eCommerce professionals looking to excel in the competitive online marketplace. Over 425M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Title Asin Main Image Brand Name Description Availability Subcategory Categories Parent Asin Type Product Type Name Model Number Manufacturer Color Size Date First Available Released Model Year Item Model Number Part Number Price Total Reviews Total Ratings Average Rating Features Best Sellers Rank Subcategory Buybox Buybox Seller Id Buybox Is Amazon Images Product URL And more

Altosight | AI-Powered Amazon Data, eBay Data & More | Global Marketplace Insights

✦ Altosight offers robust, AI-powered Amazon Data services that provide deep insights into product listings, reviews, prices, and sales trends.

✦ Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data are also covered, giving businesses the tools they need to make data-driven decisions across the world’s largest marketplaces.

Our Amazon Data encompasses a broad range of publicly available information from Amazon’s marketplace, which can be used to improve customer experience, personalize recommendations, optimize operations, and drive business success.

With unlimited free data points, fast delivery, and no setup costs, Altosight provides unparalleled flexibility and efficiency.

➤ We offer multiple data delivery options including API, CSV, JSON, and FTP, ensuring seamless integration into your business processes at no additional charge.

― Key Use Cases ―

➤ Marketplace Expansion & Product Assortment Optimization

🔹 Identify gaps in your product offerings by comparing competitor inventories with Alibaba Data, Amazon Data, and eBay Data.

🔹 Expand your product catalog by analyzing trends in best-sellers, emerging products, and market demand.

🔹 Use Digital Shelf Data to track product placements, best-seller rankings, and availability across major marketplaces to optimize your digital shelf space.

➤ Customer Sentiment & Product Review Analysis

🔹 Leverage Amazon Reviews Data to understand customer feedback, identify common complaints, and highlight product strengths.

🔹 Analyze AliExpress Data to track seller ratings and customer reviews, providing insights into consumer sentiment across different marketplaces.

🔹 Use these insights to refine product offerings, improve customer satisfaction, and enhance your brand’s reputation.

➤ Competitive Price Monitoring & Dynamic Repricing

🔹 Track product prices across Amazon, eBay, Alibaba, and AliExpress to ensure you remain competitive in the marketplace.

🔹 Use Amazon Data and eBay Data for real-time insights into competitor pricing and discounts.

🔹 Implement dynamic repricing strategies to react to price changes in real-time, ensuring your products always stay competitively priced.

➤ Product Sourcing & Wholesaler Opportunities

🔹 Use Alibaba Data and AliExpress Data to uncover new product opportunities and identify potential wholesalers.

🔹 Discover trending products to source for your business and form partnerships with reliable suppliers, streamlining your supply chain and business growth.

➤ Market Trend Identification & Forecasting

🔹 Use Alibaba Data and AliExpress Data to identify emerging trends in consumer behavior, product categories, and price fluctuations.

🔹 Conduct comprehensive market research to forecast product demand and industry trends based on historical data from Amazon and other marketplaces.

🔹 Stay ahead of market changes by leveraging real-time data for strategic decision-making, product launches, and marketing initiatives.

➤ Retailer & Brand Performance Tracking

🔹 Track the performance of specific retailers or brands across Amazon, eBay, Alibaba, and AliExpress using detailed sales and review data.

🔹 Monitor how frequently products move up or down in rankings, providing valuable insights for brand positioning and marketing effectiveness.

🔹 Analyze which retailers sell particular brands and products, helping businesses identify new partnerships or distribution opportunities.

― Data Collection & Quality ―

✔ Publicly Sourced Data: Altosight collects Amazon Data, Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data from publicly available sources. This includes product information, transaction data, reviews, and other valuable data points that are essential for making informed business decisions.

✔ AI-Powered Scraping: Our AI-driven technology handles CAPTCHAs, dynamic content, and JavaScript-heavy websites to ensure continuous and accurate data collection. We extract and structure Amazon Reviews Data, Digital Shelf Data, and other relevant marketplace data for easy integration into your existing systems.

✔ High-Quality Data: Altosight ensures all data is cleaned, structured, and ready for use, with high accuracy and reliability. Our solutions are ideal for market research, competitor analysis, and operational optimization.

― Why Choose Altosight? ―

✔ Unlimited Data Points: Altosight offers unlimited free data points, allowing you to extract as many product attributes or sales data as needed without additional charges. This ensures cost-effectiveness while maintaining access to all the insights you require.

✔ Proprietary Anti-Blocking Technology: Our proprietary scraping technology ensures continuous access to Amazon Data, eBay Data, Alibaba Data, and AliExpress Data by bypassing CAPTCHAs, Cloudflare, and other blocking mechanisms.

✔ Custom & R...

OpenWeb Ninja's Amazon Data API provides fast, reliable, and real-time access to Amazon Data and on all 22 Amazon domains / countries.

The OpenWeb Ninja's Amazon Data API covers over 300 million Product Listings Data (products, books, media, wine, and services) and provides over 40 data points per product.

OpenWeb Ninja's Amazon Data common use cases: - Price Optimization & Price Comparison - Market Research - Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis

OpenWeb Ninja's Amazon Data Stats & Capabilities: - 40+ data points per job listing - 300M+ Product Listings - 22 Amazon countries/domains supported - Real-time Amazon product data, including offers, and deals (Today's Deals) - Detailed product reviews and ratings data - Amazon Best Sellers across multiple Amazon categories - Conversion from Amazon ASIN to GTIN/EAN/ISBN

The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates)

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

El conjunto de datos obtenido mediante web scraping contiene los siguientes datos:

Valíendonos del api https://rapidapi.com/Megatvini/api/amazon-price-history, se ha desarrollado una aplicación basada en python para recuperar los precios históricos, durante el último año, de algunos productos extraidos del market place de amazon.

El conjunto de datos representa un histórico de la evolución del precio de los artículos día a día.

**# 📌 Dataset Description for Kaggle: Amazon Best Sellers Data

**📖 Overview

This dataset contains real-time Amazon Best Sellers data across multiple countries and categories, specifically focusing on Software products. The data is collected via an API and includes details such as product titles, prices, star ratings, number of reviews, and rank changes.

With this dataset, you can analyze trending products, pricing strategies, and customer preferences across different regions. It is useful for market analysis, competitor research, and e-commerce insights.

📊 Dataset Contents

Each row in this dataset represents a top-selling software product on Amazon for a specific country. The dataset includes the following columns:

product_title 🏷️ – Name of the product product_price 💰 – Price of the product in the respective country’s currency product_star_rating ⭐ – Average star rating of the product product_num_ratings 📝 – Total number of customer reviews rank 🔢 – Current ranking of the product in the Best Sellers list country 🌍 – The country where the ranking is recorded

🎯 Potential Use Cases

✅ E-commerce Market Analysis – Identify top-selling software products in different regions. ✅ Pricing Strategy Optimization – Compare prices across markets and track fluctuations. ✅ Customer Sentiment Analysis – Analyze customer ratings and review trends. ✅ Competitor Research – Understand how products rank in different countries. ✅ Trend Forecasting – Observe rank changes and predict upcoming best-sellers.

The API gateway market is experiencing robust growth, projected to reach $10.41 billion in 2025. While the provided CAGR (Compound Annual Growth Rate) is missing, considering the rapid adoption of cloud-native architectures, microservices, and the increasing demand for secure and scalable application programming interfaces (APIs), a conservative estimate of 15% CAGR for the forecast period (2025-2033) is reasonable. This growth is driven by several factors, including the rising adoption of cloud computing, the increasing need for secure API management, and the growing complexity of modern applications. Businesses, particularly large enterprises and SMEs, are increasingly leveraging APIs to integrate their systems, improve operational efficiency, and launch new digital services. This is fueling the demand for sophisticated API gateway solutions that offer features such as security, traffic management, monitoring, and analytics. The market is segmented by deployment type (shared and dedicated) and target user (large enterprises and SMEs). The shared model is currently dominant due to its cost-effectiveness, but dedicated deployments are gaining traction as organizations require more control and customization. Competition is intense, with established players like Amazon Web Services, Google, Microsoft, and Alibaba alongside specialized API gateway providers like Kong Inc. and Tyk vying for market share. Geographic expansion is also a key driver, with North America currently holding a significant share but substantial growth expected from regions like Asia Pacific and EMEA driven by digital transformation initiatives. The continued growth of the API gateway market is expected to be further fueled by advancements in technologies such as artificial intelligence (AI) and machine learning (ML) integrated within API management platforms. These improvements will enhance security, performance monitoring, and automation capabilities, making API management even more efficient and cost-effective. The growing importance of API security in a world increasingly susceptible to cyber threats will also significantly impact the market. Companies are increasingly adopting API gateways to protect their APIs against various security vulnerabilities, thereby strengthening their overall cybersecurity posture. As businesses continue to rely heavily on APIs for their digital operations, the API gateway market is poised for significant and sustained expansion throughout the forecast period. The ongoing trend towards microservices architecture and the rise of serverless computing are likely to further catalyze this market’s growth.

The API Monetization Platform market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the need for businesses to generate revenue from their API assets. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% through 2033, reaching approximately $25 billion by the end of the forecast period. This expansion is fueled by several key factors, including the rise of microservices architecture, the growing demand for real-time data integration, and the increasing sophistication of API management tools. Major players like Amazon Web Services, Google, Microsoft, and IBM are driving innovation and market penetration through their comprehensive platform offerings, fostering a competitive yet dynamic landscape. Furthermore, the emergence of innovative monetization models, such as freemium and pay-as-you-go pricing, are contributing to market expansion. The market’s segmentation reflects diverse application areas, including financial services, healthcare, and e-commerce, each with unique API monetization requirements and opportunities. The restraints to growth include the challenges associated with secure API management, the complexity of pricing strategies, and the need for robust developer support. The competitive landscape is characterized by a mix of established technology giants and specialized API management providers. Established players leverage their existing infrastructure and customer base, while smaller companies focus on niche functionalities and innovative solutions. The market is witnessing strategic partnerships and mergers and acquisitions, highlighting the increasing importance of API monetization as a core revenue stream for businesses. Geographical distribution shows significant market concentration in North America and Europe, although rapidly developing economies in Asia-Pacific are emerging as significant growth drivers. The ongoing trend towards cloud-native architectures further accelerates the adoption of API monetization platforms, creating significant opportunities for innovation and market expansion in the coming years. The focus on enhancing developer experience and providing comprehensive analytics dashboards is crucial for securing market share and driving future growth.

Abstract Malaria is a major public health problem, and Brazil is the largest contributor in America to the number of cases. In the country, the Amazon concentrates around 99.5% of the cases. This article aims to compare trends in deforestation rate and the parasite index of malaria in the Amazon region between 1996 and 2012. The annual crude rate of deforestation and the Annual Parasite Index (API) of malaria between 1996 and 2012 were estimated. The rate of deforestation has great variability among the states every year, and a similar situation is observed for malaria API over the studied period. There are important variations across the states within this period. The historical series of crude deforestation rate and malaria API have markedly similar trends; with a 1-2 years lag between them, suggesting that the occurrence of fluctuations in deforestation numbers impacts malaria numbers in a period immediately following. The mapping of deforested areas and the analysis of temporal series are therefore useful in the analysis of malaria.

OpenWeb Ninja's Product Data API provides Product Data, Product Reviews Data, Product Offers, sourced in real-time from Google Shopping - the largest product listings aggregate on the web, listing products from all publicly available e-commerce sites (Amazon, eBay, Walmart + many others).

The API covers more than 35 billion Product Data Listings, including Product Reviews and Product Offers across the web. The API provides over 40 product data points including prices, rating and reviews insights, product details and specs, typical price ranges, and more.

OpenWeb Ninja's Product Data common use cases: - Price Optimization & Price Comparison - Market Research & Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis

OpenWeb Ninja's Product Data Stats & Capabilities: - 35B+ Product Listings - 40+ data points per job listing - Global aggregate - Search by keyword or GTIN/EAN