Amazon UK Best Selling Products Data

Get the Amazon UK top selling products dataset with detailed pricing, ratings, and category insights. Use Product Data Scrape to extract Amazon UK top-selling product data effortlessly through Custom eCommerce Dataset Scraping, helping you track market trends, optimize listings, and uncover valuable consumer behavior insights for smarter retail decisions.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Discover what’s inside our Amazon product dataset CSV, packed with valuable insights for eCommerce professionals. We scrape Amazon UK top selling products to provide detailed product titles, pricing, ratings, reviews, and category breakdowns. Our Amazon UK best sellers dataset 2025 helps you extract Amazon UK top selling items to identify trending products and emerging brands. Perfect for analysts who scrape Amazon UK best sellers for market research, this dataset empowers smarter decisions. With our advanced tools, you can also scrape data from any eCommerce websites , turning raw marketplace data into actionable business intelligence for growth and strategy optimization.

Each Amazon product dataset includes Product Title, ASIN, Category, Price, Discount, Rating, Reviews, Seller, Availability, and Product URL—perfect to scrape Amazon UK top selling products accurately.

Sample Dataset Preview

id	product_id	product_name	brand	category_hierarchy	product_price	mrp	discount	product_url	page_url	source	scraped_date	availability	shipping_charges	arrival_date	number_of_ratings	avg_rating	seller_name	color	size
1	AMZUK001	Amazon Fire TV Stick HD	Amazon	Electronics & Photo > Streaming Media Players	£39.99	£59.99	33%	https://www.amazon.co.uk/dp/B0BHDX1234/	https://www.amazon.co.uk/b/Streaming-Media-Players/298121	amazon.co.uk	09-10-2025	In Stock	Free (Prime)	13-10-2025	88,570	4.6	Amazon Official	Black	N/A
2	AMZUK002	Amazon Fire TV Stick 4K	Amazon	Electronics & Photo > Streaming Media Players	£54.99	£79.99	31%	https://www.amazon.co.uk/dp/B0FRC12345/	https://www.amazon.co.uk/b/Streaming-Media-Players/298121	amazon.co.uk	09-10-2025	In Stock	Free (Prime)	13-10-2025	19,361	4.7	Amazon Official	Black	N/A
3	AMZUK003	Amazon Basics AA Alkaline Batteries (40-pack)	Amazon Basics	Electronics & Photo > Batteries & Power Supplies	£9.24	£12.99	29%	https://www.amazon.co.uk/dp/B07XYZ6789/	https://www.amazon.co.uk/b/Batteries-Power-Supplies/57041031	amazon.co.uk	09-10-2025	In Stock	Free (Prime)	14-10-2025	1,32,148	4.5	Amazon Basics	N/A	40-pack
4	AMZUK004	Duracell AA Batteries (12-pack)	Duracell	Electronics & Photo > Batteries & Power Supplies	£6.66	£8.99	26%	https://www.amazon.co.uk/dp/B0722222ZZ/	https://www.amazon.co.uk/b/Batteries-Power-Supplies/57041031	amazon.co.uk	09-10-2025	In Stock	Free (Prime)	14-10-2025	95,736	4.7	Duracell	N/A	12-pack

Use Cases

Market Trend Analysis

Competitor Price Tracking

Product Performance Benchmarking

Customer Sentiment Insights

Inventory Demand Forecasting

Marketing Strategy Optimization

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

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