Amazon Products E-commerce Product Dataset - Amazon Products Data Scraping Service

Our Amazon Products E-commerce Product Dataset provides comprehensive product details, pricing trends, and customer insights. With our Amazon Products Data Scraping Service, we help businesses gather accurate, structured data for market analysis, competitive benchmarking, and informed decision-making, empowering brands to optimize strategies and drive growth in the dynamic e-commerce landscape.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Our datasets provide businesses with precise, actionable insights for the e-commerce industry. The Amazon Products E-commerce Product Dataset includes detailed product listings, pricing trends, and customer reviews to support informed decision-making. Using our Amazon Products data scraping service, companies can efficiently gather large-scale data. Our Web Scraping E-commerce Websites solutions allow for seamless collection of competitive intelligence across platforms. Additionally, businesses can leverage scraping Amazon Products product data to optimize inventory, track market trends, and enhance marketing strategies. With reliable, structured, and up-to-date datasets, brands gain the tools to improve sales, understand customer behavior, and stay ahead in the competitive e-commerce landscape.

Amazon Products Data Fields Include:

Product Name, Product Description, Brand, Category, SKU, Regular Price, Discounted Price, Stock Availability, Seller Details, Customer Reviews, Ratings, Shipping Information, Product Images, and Product Attributes.

Sample Dataset Preview

id	product_id	product_name	brand	category_hierarchy	product_price	mrp	discount	image_url	product_url	page_url	source	scraped_date	availability	shipping_charges	arrival_date	number_of_ratings	avg_rating	seller_name	color	size
1	AMZ001	Apple iPhone 15 Pro Max	Apple	Electronics > Mobiles > Smartphones	1199	1299	8%	https://m.media-amazon.com/images/I/iphone15.jpg	https://www.amazon.com/dp/B0CHX1	https://www.amazon.com/dp/B0CHX1	Amazon	27-08-2025	In Stock	Free	30-08-2025	15860	4.7	Apple Store	Blue Titanium	256GB
2	AMZ002	Samsung Galaxy Buds 2 Pro	Samsung	Electronics > Audio > Earbuds	179	229	22%	https://m.media-amazon.com/images/I/buds2.jpg	https://www.amazon.com/dp/B0CHY2	https://www.amazon.com/dp/B0CHY2	Amazon	27-08-2025	In Stock	Free	29-08-2025	8460	4.6	Samsung Official Store	Graphite	1-Pair
3	AMZ003	Levi’s Men’s Slim Jeans	Levi’s	Fashion > Men > Jeans	49.99	79.99	38%	https://m.media-amazon.com/images/I/levis.jpg	https://www.amazon.com/dp/B0CHY3	https://www.amazon.com/dp/B0CHY3	Amazon	27-08-2025	In Stock	Free	02-09-2025	2160	4.5	Levi’s Official Store	Indigo	32x32
4	AMZ004	Nike Air Zoom Pegasus 41	Nike	Fashion > Men > Shoes	119.99	149.99	20%	https://m.media-amazon.com/images/I/pegasus.jpg	https://www.amazon.com/dp/B0CHY4	https://www.amazon.com/dp/B0CHY4	Amazon	27-08-2025	In Stock	Free	03-09-2025	5420	4.7	Nike Store	Black/White	10

Use Cases

Product Price Tracking

Market Trend Analysis

Competitor Product Comparison

Customer Sentiment Analysis

Sales Performance Monitoring

E-Commerce Research Insights

Why Product Data Scrape?

Why Choose Product Data Scrape for Retail Data Web Scraping?

Choose Product Data Scrape for Retail Data scraping to access accurate data, enhance decision-making, and boost your online sales strategy.

Reliable Insights

With our Retail data scraping services, you gain reliable insights that empower you to make informed decisions based on accurate product data.

Data Efficiency

We help you extract Retail Data product data efficiently, streamlining your processes to ensure timely access to crucial market information.

Market Adaptation

By leveraging our Retail data scraping, you can quickly adapt to market changes, giving you a competitive edge with real-time analysis.

Price Optimization

Our Retail Data price monitoring tools enable you to stay competitive by adjusting prices dynamically, attracting customers while maximizing your profits effectively.

Competitive Edge

With our competitor price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing.

Feedback Analysis

Utilizing our Retail Data review scraping, you gain valuable customer insights that help you improve product offerings and enhance overall customer satisfaction.

Process

How We Scrape E-Commerce Data?

Identify Target Websites

Begin by selecting the e-commerce websites you want to scrape, focusing on those that provide the most valuable data for your needs.

Select Data Points

Determine the specific data points to extract, such as product names, prices, descriptions, and reviews, to ensure comprehensive insights.

Use Scraping Tools

Utilize web scraping tools or libraries to automate the data extraction process, ensuring efficiency and accuracy in gathering the desired information.

Data Cleaning

After extraction, clean the data to remove duplicates and irrelevant information, ensuring that the dataset is organized and useful for analysis.

Analyze Extracted Data

Once cleaned, analyze the extracted e-commerce data to gain insights, identify trends, and make informed decisions that enhance your strategy.

See the results that matter

Read inspiring client journeys

Discover how our clients achieved success with us.

6X

Conversion Rate Growth

“I used Product Data Scrape to extract Walmart fashion product data, and the results were outstanding. Real-time insights into pricing, trends, and inventory helped me refine my strategy and achieve a 6X increase in conversions. It gave me the competitive edge I needed in the fashion category.”

Emily Johnson

E-Commerce Manager

7X

Sales Velocity Boost

“Through Kroger sales data extraction with Product Data Scrape, we unlocked actionable pricing and promotion insights, achieving a 7X Sales Velocity Boost while maximizing conversions and driving sustainable growth.”

Sarah Miller

Grocery Retail Analytics Lead

"By using Product Data Scrape to scrape GoPuff prices data, we accelerated our pricing decisions by 4X, improving margins and customer satisfaction."

Daniel Williams

Quick Commerce Growth Manager

"Implementing liquor data scraping allowed us to track competitor offerings and optimize assortments. Within three quarters, we achieved a 3X improvement in sales!"

Matthew Davis

Category Head – Beverages & Liquor

Resource Hub: Explore the Latest Insights and Trends

The Resource Center offers up-to-date case studies, insightful blogs, detailed research reports, and engaging infographics to help you explore valuable insights and data-driven trends effectively.

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