Optimized Price Tracking across 50,000+ SKUs and Drove 45% Revenue Lift with Advanced Web Scraping and Data Support

The Client

Leading eCommerce Distributor for Construction & Industrial Tools

Our client is a US-based B2B eCommerce distributor specializing in professional-grade construction tools, equipment, and industrial safety gear. Serving contractors, builders, and infrastructure development companies nationwide, the client manages an expanding catalog exceeding 50,000 SKUs — from precision measuring tools to jobsite safety equipment and fastening solutions. They sell through their D2C store and leading online marketplaces (Amazon, Walmart, and Grainger), ensuring a vast multi-channel distribution network.

Project Requirements

Real-Time Marketplace Price Monitoring for Enhanced Competitive Positioning

Our client sought our eCommerce price tracking services to gain critical competitive intelligence. Their goal was to analyze competitor pricing strategies and optimize their listings for a stronger market position. Key objectives for this project included:

  • Tracking over 50,000 high-demand SKUs across major marketplaces in near real time
  • Identifying price gaps compared to top competitors
  • Implementing dynamic pricing adjustments for branded and private-label SKUs
  • Equipping sales and category managers with actionable dashboards for data visualization

Project Challenges

Managing Real-Time, Inconsistent, and Fragmented Marketplace Pricing Data

The project presented several data quality and integration-related challenges that we needed to overcome for effective marketplace product price scraping and updation.

  • Large-Scale Data Processing: Manual price tracking for over 50,000 SKUs was error-prone and time-consuming. To effectively track price fluctuations across multiple marketplaces, scalable automated workflows were required.
  • Marketplaces’ Structure Variability & Anti-Scraping Mechanisms: The differing URL structures and listing formats across Amazon, Walmart, and Grainger added complexity to the price tracking, data scraping, and data normalization process. Additionally, the marketplaces had sophisticated anti-scraping mechanisms and rate limiting in place, making pricing data extraction more challenging.
  • Unstable & Volatile Competitive Environment: Competitors were updating prices frequently, often running flash sales, applying bundled offers, or introducing marketplace-exclusive discounts with short validity windows. Hence, real-time pricing data needs to be scraped for efficient tracking.
  • Need for Advanced Data Scraping Techniques: In some cases, final prices were influenced by dynamic shipping costs, marketplace fees, coupon codes, or special member-only offers that weren’t visible until checkout—requiring deeper web data scraping logic and additional parsing of hidden elements.
  • Accuracy & Data Integrity: Ensuring precise SKU mapping and data normalization required implementing robust quality assurance and data validation protocols. Along with data integrity, we needed to ensure complete data security and compliance.

Our Solutions

Hybrid Approach: Intelligent Automation with Human-Vetted Data Accuracy

To overcome these challenges, we leveraged a hybrid approach - utilizing intelligent automation with subject matter expertise to ensure seamless, accurate, and compliant data scraping and competitor price tracking. Our solution involved:

Automated Large-Scale Data Processing

We deployed a Python-based scraping framework with rotating proxies to handle anti-scraping mechanisms and streamlined the massive scale of 50,000+ SKU monitoring across multiple marketplaces. The automated workflows eliminated manual tracking inefficiencies by establishing scheduled data collection cycles that processed thousands of product listings simultaneously.

Marketplace-Specific Data Extraction

To overcome the complex URL structures and varying listing formats across Amazon Business, Walmart Business, and Grainger, we developed marketplace-specific data extraction protocols. We created customized parsing logic for each platform's unique data presentation format, enabling seamless data collection regardless of structural differences. Additionally, we utilized Fuzzy Logic and NLP algorithms for precise product data matching and identification across platforms.

Advanced Scraping Logic for Volatile & Complex Pricing

We leveraged advanced scraping logic to extract bundle pricing and promotional metadata from secondary page elements or popups and identify coupon codes, membership-only offers, and shipping cost variations that impacted the original final price. In addition to our custom scraping logic, we utilized third-party competitor price tracking solutions like Upstream Commerce and PriceManager to gain real-time visibility into competitor pricing.

Data Normalization

We developed a modular data normalization pipeline that standardized scraped fields such as product titles, prices, availability, and promotions into a unified schema. With product titles, model numbers, and pricing data aligned into a standard structure, it became easier to link products across different marketplaces, reducing the chances of mismatches and errors.

Real-Time Pricing Dashboards

Using Google Sheets and Power BI, we built dynamic dashboards for real-time data visualization and visibility into competitor pricing and trends. Custom alerts were set up to notify the client of significant price changes, enabling quick responses to market shifts.

Human-Led Data Validation to Ensure Accuracy

While automated data scraping ensured efficiency, human oversight was crucial for maintaining the highest levels of data accuracy. We deployed a dedicated team of QA experts to manually verify key data points, such as product titles, prices, and availability, and rectified discrepancies before they could impact reporting or decision-making.

Assured Data Compliance and Security at Every Stage

Given the sensitivity of the pricing and competitor data being collected from multiple marketplaces, data security and compliance were fundamental throughout the project. We ensured compliance and safeguarded sensitive information by:

  • Respecting the terms of service and fair-use policies of Amazon, Walmart, and Grainger through the data collection process
  • Adhering to strict NDAs for intellectual property protection
  • Implementing ISO 27001 protocols for data security (including end-to-end encryption, role-based access, and use of secure VPNs and firewalls)
  • Implementing Zero data leakage policy – Data stayed within client systems—no local storage, downloads, or copies.
  • Conducting regular security audits, activity logs, and compliance monitoring

Tools & Technologies Used

  • Python-based scraping framework with rotating proxies to handle anti-scraping mechanisms
  • Fuzzy logic and NLP for accurate product matching
  • Google Sheets + Power BI for real-time data visualization & custom alerts
  • Upstream Commerce and PriceManager for real-time competitor price tracking

Key Product Categories Tracked

  • Cordless power tools and batteries
  • Jobsite safety gear (PPE kits, helmets, boots)
  • Fasteners, anchors, and connectors
  • Measuring & layout tools
  • Tool storage and jobsite carts

Tools & Technologies Used

  • Python-based scraping framework with rotating proxies to handle anti-scraping mechanisms
  • Fuzzy logic and NLP for accurate product matching
  • Google Sheets + Power BI for real-time data visualization & custom alerts
  • Upstream Commerce and PriceManager for real-time competitor price tracking

Key Product Categories Tracked

  • Cordless power tools and batteries
  • Jobsite safety gear (PPE kits, helmets, boots)
  • Fasteners, anchors, and connectors
  • Measuring & layout tools
  • Tool storage and jobsite carts

Project Outcomes

Our data scraping, processing, and validation services delivered remarkable results for the client:

99%

data accuracy achieved with human-led data validation

45%

revenue lift recorded in the past 90 days due to the precise identification of underpriced SKUs

100%

automation of competitor price monitoring across 3 major marketplaces.

Improved

procurement negotiations via intelligence on volatile competitor pricing

With actionable dashboards and a real-time competitor price tracking solution, the client has significantly increased its profit margins and strengthened its market position.

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