Coupang Data Scraping

By Author: Actowiz Metrics
Total Articles: 281
Comment this article

Client Overview
The client was a growing e-commerce brand looking to strengthen its presence in South Korea's highly competitive online marketplace.
With multiple products competing across categories, the brand needed a reliable way to understand competitor pricing, product availability, assortment changes, seller activity, and customer-facing marketplace signals.
Manual monitoring was time-consuming and made it difficult for the team to identify important changes quickly.
Actowiz Metrics introduced Coupang Data Scraping to collect structured marketplace information at scale and create a consistent data foundation for strategic decision-making.
The collected information was processed through Coupang Ecommerce Analytics, allowing the client to evaluate marketplace movements across products and categories.
The solution helped the team compare competitors, identify pricing gaps, observe assortment changes, and understand product-level performance trends.
Instead of relying on occasional manual checks, the brand gained access to regularly refreshed marketplace intelligence that could support ...
... pricing, merchandising, inventory, and promotional decisions.
This improved the visibility of competitive activity and provided a more systematic approach to marketplace optimization.
Objective
Coupang Product Data Scraping: Collect structured product information, including titles, brands, categories, prices, ratings, reviews, sellers, stock status, and product URLs, across selected marketplace categories.
Coupang Bestselling Brands Analytics: Identify leading brands and bestselling products by analyzing marketplace visibility, pricing movements, ratings, reviews, availability, and category-level positioning.
Establish a repeatable process for monitoring competitor products and detecting meaningful marketplace changes.
Improve pricing decisions by tracking competitor price movements, discounts, promotional activity, and product-level price differences.
Strengthen assortment planning by identifying newly listed products, discontinued items, unavailable SKUs, and category gaps.
Support inventory planning by providing historical availability signals and identifying recurring stock-out patterns.
Create a centralized dataset that could be integrated into internal dashboards and analytical workflows.
Reduce dependence on manual marketplace research and improve the speed at which commercial teams could respond to market changes.
Data Extraction Scope
The project was designed to capture marketplace information across selected product categories and competitor brands.
The extraction framework was structured to support both recurring monitoring and historical analysis, allowing the client to evaluate short-term marketplace changes as well as longer-term trends.
Actowiz Metrics configured the collection workflow around the client's product portfolio and competitive landscape.
Platforms Monitored
The primary platform monitored was Coupang, with the extraction process focused on selected product categories, brand pages, search results, product detail pages, and competitor listings.
The monitoring framework captured product-level information required for pricing, assortment, availability, and competitive analysis.
Category and search-level monitoring also helped identify products outside the client's existing assortment that could represent potential opportunities.
Actowiz METRICS
Time Duration
The project maintained historical marketplace observations across multiple tracking cycles, enabling the client to compare current marketplace conditions with earlier observations.
Data collected over recurring periods supported trend analysis for prices, stock status, ratings, reviews, and assortment changes.
Historical records also helped identify recurring promotional periods and fluctuations in competitor activity.
Number of SKUs / Categories
The extraction scope covered thousands of product records across selected categories and competitor brands.
SKUs were organized using product identifiers, brand names, category classifications, and product URLs to support consistent tracking.
Category-level segmentation enabled the client to compare assortment depth, pricing structures, product availability, and competitive activity across individual marketplace segments.
Frequency of Tracking
Tracking frequency was configured according to marketplace requirements and business priorities.
High-priority products and competitor SKUs could be monitored more frequently, while broader category-level datasets were refreshed on scheduled intervals.
Automated collection helped maintain current datasets without requiring the client's team to repeatedly conduct manual marketplace checks.
Data Points Collected
The project collected a comprehensive set of product-level attributes to support pricing, competitive, assortment, and performance analysis. Coupang Product Price Analysis used these fields to compare product positioning and identify meaningful changes across monitored SKUs.
Product Name: Captured the marketplace-listed product title for identification and comparison.
Brand: Recorded the manufacturer or brand associated with each product.
Category: Classified products into their respective marketplace categories.
Product URL: Stored the direct marketplace reference for each monitored listing.
Current Price: Captured the latest displayed selling price for pricing comparisons.
Discount: Recorded visible discounts or promotional price reductions where available.
Rating: Collected customer rating information to evaluate product perception.
Review Count: Captured review volumes as an indicator of customer engagement.
Stock Status: Recorded whether products were available, unavailable, or otherwise restricted.
Seller Information: Captured seller-related details to support marketplace competition analysis.
Business Impact Delivered
The implementation generated measurable improvements in how the brand monitored and interpreted marketplace activity. Coupang Product Availability Monitoring gave the commercial team a structured way to identify stock changes, while Coupang Data Scraping reduced the effort required to collect marketplace information manually.
Faster Competitive Monitoring: The client gained recurring access to structured competitor information, reducing the time required to manually inspect product listings and compare marketplace conditions.
Improved Pricing Decisions: Historical price observations helped the brand recognize competitor price increases, reductions, discounts, and promotional movements before making pricing adjustments.
Stronger Assortment Planning: Product-level records helped identify category gaps, newly appearing products, unavailable SKUs, and changing competitor assortments.
Better Inventory Visibility: Availability observations provided additional signals for identifying stock-out patterns and products experiencing recurring availability changes.
More Efficient Marketplace Research: Automated collection replaced repetitive manual checks, allowing analysts to focus more time on interpreting data and developing commercial strategies.
Centralized Business Intelligence: Product, price, seller, rating, review, and availability information was organized into a consistent dataset that could feed dashboards and downstream analytical processes.
Together, these improvements helped the client move from reactive marketplace observation toward a more systematic and data-driven approach. The resulting intelligence supported pricing, merchandising, inventory, and competitive decision-making.
Tools & Technology Used
Actowiz Metrics developed a technology framework designed to automate marketplace data collection, processing, visualization, and delivery. Coupang Demand Forecasting Analytics could use the resulting historical dataset to identify recurring product-level demand signals and support forward-looking planning.
Custom Scraper
A customized scraper was configured around the client's selected categories, brands, search results, and product listings. The system was structured to collect relevant fields consistently while maintaining standardized product identifiers and historical records. Extraction workflows could be adapted as the client expanded its monitored assortment.
API Data Feed
Processed marketplace records were made available through structured data feeds, enabling downstream applications and analytical systems to consume refreshed information. The feed structure supported integration with internal databases, reporting environments, and business intelligence workflows.
Dashboards
Centralized dashboards provided users with an accessible view of product prices, availability, competitor activity, ratings, reviews, and assortment changes. Filters could be applied by category, brand, SKU, date, and other relevant attributes to support targeted analysis.
Automation Workflows
Automated workflows scheduled recurring collection, data processing, validation, and delivery activities. This reduced repetitive manual work and helped maintain consistent data availability for teams responsible for pricing and marketplace management.
Analytics & Visualization
The processed dataset was transformed into analytical views covering price movements, product availability, competitor comparisons, assortment changes, and historical trends. Visualization tools helped commercial teams identify important changes faster and translate raw marketplace records into actionable business insights.
Client Testimonial
"Actowiz Metrics gave our team a much clearer way to understand marketplace activity. Before the project, gathering competitor information required repeated manual checks, and it was difficult to maintain a consistent historical view. The automated data collection process significantly improved how quickly our team could access product and pricing information. Availability & assortment tracking also helped us identify changes across important product categories and respond more efficiently to marketplace movements.
The quality and consistency of the dataset made it easier for our analysts to compare products, monitor competitors, and identify pricing opportunities. Coupang Data Scraping became an important part of our marketplace intelligence workflow, helping us move from manual observation toward a more structured approach. The dashboards and recurring data delivery also made the information easier for different teams to use. Overall, Actowiz Metrics provided a practical solution that improved our visibility and supported better marketplace decisions."
— E-commerce Strategy Manager, Client Brand
The engagement demonstrated how Digital shelf analytics, Track Dove Price Consistency Across Savers and Competing Drugstores can support more consistent retail monitoring and better-informed pricing decisions.
Final Outcome
The project helped the e-commerce brand establish a structured marketplace intelligence process that connected product monitoring with commercial decision-making. Instead of depending on isolated manual observations, the client gained recurring product-level information that could be analyzed historically and used across pricing, assortment, inventory, and competitive planning activities.
Price & promotion intelligence enabled the team to identify changes in competitor pricing, discounts, and product positioning more efficiently. Historical records made it possible to compare marketplace conditions across tracking periods and recognize recurring patterns. Coupang Data Scraping also created a scalable foundation for expanding monitoring across additional products and categories as the brand's marketplace strategy evolved.
The resulting workflow improved data accessibility, reduced manual research requirements, and gave business teams a more consistent view of marketplace conditions. Product availability signals supported inventory decisions, while competitor and assortment information helped identify market opportunities. Dashboards and automated feeds further improved how quickly stakeholders could access and interpret marketplace data.
Ultimately, Actowiz Metrics helped the client transition from reactive marketplace monitoring to a repeatable, data-driven intelligence framework. The solution provided the foundation needed to continuously evaluate competitive activity, optimize marketplace positioning, and make more informed decisions as product and pricing conditions changed!

Source : https://www.actowizmetrics.com/coupang-product-data-scraping.php
Original: https://www.actowizmetrics.com

#CoupangDataScraping
#CoupangProductDataScraping
#CoupangProductPriceAnalysis
#CoupangCompetitiveIntelligence
#CoupangProductPerformanceAnalytics
#CoupangProductAvailabilityMonitoring
#CoupangDemandForecastingAnalytics