Coupang Product Datasets - Extract Product Data from Coupang

Coupang Product Datasets provide structured access to detailed product information, including titles, prices, ratings, reviews, and seller details. Businesses and analysts can efficiently Extract product data from Coupang for market research, competitor analysis, pricing strategies, and inventory tracking. Using automated scraping tools, these datasets streamline product intelligence collection, ensuring accurate and up-to-date insights from the Coupang marketplace.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Our coupang product dataset provides comprehensive and structured product information, including titles, prices, ratings, reviews, categories, and seller details. It is designed to help businesses, analysts, and eCommerce platforms gain actionable insights into the marketplace. With coupang datasets for ecommerce analytics, users can monitor competitors, track pricing trends, analyze customer feedback, and optimize product offerings. Additionally, our Custom eCommerce Dataset Scraping allows tailored data extraction based on specific requirements such as product categories, brands, or seasonal trends. These datasets empower businesses to make data-driven decisions, enhance market intelligence, and strengthen eCommerce strategy.

The Coupang product dataset includes product title, product ID, brand name, category, price, discount information, product rating, total reviews count, seller name, and product availability status.

Sample Dataset Preview

id	Platform	Country	Store_Name	Product_Sku_Id	Product_Name	Brand	Category	Sub_Category	Product_Price_KRW	Product_Mrp_KRW	Discount_Percent	Product_Rating	Review_Count	Availability_Status	Seller_Name	Seller_Rating	City	Product_Url	Scrape_Date
1	Coupang	South Korea	Coupang Global	CP1001	Samsung Galaxy A54	Samsung	Electronics	Mobile Phones	799000	899000	11	4.7	12500	In Stock	Samsung Official Store	4.8	Seoul	https://www.coupang.com/vp/products/1001	2025-01-15
2	Coupang	South Korea	Coupang Global	CP1002	LG OLED TV 55 Inch	LG	Electronics	Television	2199000	2499000	12	4.6	7800	In Stock	LG Official Store	4.7	Busan	https://www.coupang.com/vp/products/1002	2025-01-15
3	Coupang	South Korea	Coupang Global	CP1003	Apple AirPods Pro 2	Apple	Electronics	Audio	319000	349000	9	4.8	15400	In Stock	Apple Authorized Seller	4.9	Seoul	https://www.coupang.com/vp/products/1003	2025-01-15
4	Coupang	South Korea	Coupang Global	CP1004	Adidas Ultraboost 22	Adidas	Fashion	Shoes	179000	199000	10	4.7	9800	In Stock	Adidas Official Store	4.8	Daegu	https://www.coupang.com/vp/products/1004	2025-01-15

Use Cases

Price Monitoring

Competitor Analysis

Market Research

Trend Analysis

Inventory Planning

Demand Forecasting

WHY CHOOSE US?

Product Data Scrape for Retail Web Scraping

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

Reliable Insights

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

Data Efficiency

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

Market Adaptation

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

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

THIS IS YOUR KEY BENEFIT.
With our competitive price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing in real-time.

Feedback Analysis

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

5-Step Proven Methodology

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.

Start Your Data Journey

99.9% Uptime

GDPR Compliant

Real-time API

How It Works?

From concept to execution, simplified

We remove complexity from data workflows, enabling you to activate solutions quickly and efficiently.

Step 1: Define Scope

Define objectives, data sources, and success metrics to align platform capabilities with business goals before activating automated workflows across teams, timelines, and outcomes.

Pro Tip: Clearly defined goals reduce setup time and ensure faster, more accurate insights delivery.

Step 2: Configure Systems

Configure data pipelines, automation rules, and integrations quickly using flexible tools designed to handle scale, complexity, and frequent market changes across multiple channels.

Pro Tip: Start small, validate outputs, then expand coverage to maximize performance and control safely.

Step 3: Activate Insights

Access real-time dashboards, alerts, and datasets to monitor performance, uncover trends, and make data-driven decisions continuously across teams, markets, regions, products, categories, channels.

Pro Tip: Use alerts and reports together to act faster on critical changes across markets.

Define Scope...

See it in action

End-to-end product data solutions, simplified

We manage complex scraping, structuring, and updates for you. Whether tracking competitors or markets, our system adapts to your data needs.

Automated multi-source product scraping
Secure infrastructure with encrypted data pipelines
24/7 technical and data support

Get In Touch

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.

Get In Touch

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Coupang Product Datasets - Extract Product Data from Coupang

120K

20+

Real-Time

What's Inside Our Datasets?

Sample Dataset Preview

Use Cases

Price Monitoring

Competitor Analysis

Market Research

Trend Analysis

Inventory Planning

Demand Forecasting

Delivery Area Coverage

Benefits for Teams

Retailers

Marketplaces

D2C Brands

Cloud Kitchens

Analytics Teams

Product Teams

How It Works

Data Collection

Data Cleaning

Data Structuring

Data Delivery

Integrations Available

CSV, JSON, Excel

API Access

Daily/Weekly Custom Feeds

Industries Using This Dataset

Ready to Get Started?

Product Data Scrape for Retail Web Scraping

Reliable Insights

Data Efficiency

Market Adaptation

Price Optimization

Competitive Edge

Feedback Analysis

How We Scrape E-Commerce Data?

Identify Target Websites

Select Data Points

Use Scraping Tools

Data Cleaning

Analyze Extracted Data

From concept to execution, simplified

Step 1: Define Scope

Step 2: Configure Systems

Step 3: Activate Insights

End-to-end product data solutions, simplified

See the results that matter

Read inspiring client journeys

6X

Conversion Rate Growth

Emily Johnson

7X

Sales Velocity Boost

Sarah Miller

Daniel Williams

Matthew Davis

Resource Hub: Explore the Latest Insights and Trends

E-Commerce Data Scraping FAQs

What are E-Commerce Scraping Services?

How do you extract e-commerce product data?

What is E-commerce Data Scraping, and why is it important?

How does E-commerce Price Monitoring work?

Get a free sample dataset

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