Naver eCommerce Product and Pricing Dataset - Naver eCommerce Product and Pricing Data Scraping Service

Our Naver eCommerce Product and Pricing Dataset provides comprehensive insights into Naver product catalog and inventory data, including product details, pricing, availability, and category trends. Our Naver eCommerce product and pricing data scraping service delivers accurate, real-time data to enhance market research, competitor analysis, and dynamic pricing strategies.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Our Naver Product Catalog and Inventory Dataset provides complete product information, including names, categories, descriptions, images, stock levels, and pricing details. With this dataset, you can easily extract Naver eCommerce pricing dataset for market analysis, competitor benchmarking, and trend tracking. Designed for efficiency, it supports CSV/JSON exports and seamless integration. Combined with our Naver eCommerce data scraping services , you gain reliable, up-to-date insights to make informed business decisions and optimize your eCommerce strategies effectively. The Naver eCommerce Product and Pricing Dataset includes Product Name, Product ID / SKU, Category, Price, Discount / Offer, Details, Stock / Availability, Brand / Manufacturer, Product Description, Product Images URL, and Ratings & Reviews.

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	NVR1001	Apple iPhone 15 Pro 128GB	Apple	Electronics > Mobile Phones > Smartphones	$1129	$1299	13%	https://shopping.naver.com/products/1001	https://shopping.naver.com/category/mobile	smartstore.naver.com	01-02-2025	In Stock	Free	05-02-2025	3245	4.8	Apple Official Store	Titanium Grey	128GB
2	NVR1002	Samsung Galaxy Tab S9 11"	Samsung	Electronics > Tablets	$799	$899	11%	https://shopping.naver.com/products/1002	https://shopping.naver.com/category/tablets	smartstore.naver.com	01-02-2025	In Stock	Free	04-02-2025	1873	4.7	Samsung Store	Graphite	11"
3	NVR1003	Logitech MX Master 3S Mouse	Logitech	Computers > Accessories > Mouse	$89	$119	25%	https://shopping.naver.com/products/1003	https://shopping.naver.com/category/computer-accessories	smartstore.naver.com	01-02-2025	In Stock	Free	03-02-2025	5412	4.9	Logitech Korea	Black	Standard
4	NVR1004	Dyson Supersonic Hair Dryer	Dyson	Home Appliances > Grooming	$399	$449	11%	https://shopping.naver.com/products/1004	https://shopping.naver.com/category/home-appliances	smartstore.naver.com	01-02-2025	In Stock	Free	06-02-2025	8102	4.8	Dyson Korea	Fuchsia	Standard

Use Cases

Competitor Price Monitoring

Market Trend Analysis

Dynamic Pricing Optimization

Product Catalog Management

Inventory Data Tracking

Ecommerce Performance Benchmarking

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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