Enhancing eCommerce Insights through Automated Price-Monitoring

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Enhancing eCommerce Insights through Automated Price-Monitoring

Web Data Automation for Retail Industry Case Study

Problem Statement

Our client, a leading Price-monitoring software provider, aimed to optimize revenue, reduce costs, and ensure quality in e-commerce listings. Utilizing our data for analyzing Minimum Advertised Prices (MAP) and buy box sellers, they faced challenges managing complex script development, handling over 30 attributes per category, and addressing website blocking from frequent pings amid the dynamic nature of websites.

Our solution

To surmount challenges and fulfill client expectations, we harnessed the capabilities of our data aggregation platform, XDataHub, ensuring a seamless automation experience.

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Input Management: Established a comprehensive process for pulling parent product page URLs from the customer’s database, ensuring a solid foundation for data extraction.
Website Scraping & Data Capture: Leveraged our proprietary scraping platform XDataHub to intelligently scrape product data and corresponding seller information from client-specified websites. Identified and captured product URLs, maintaining essential identifiers like Site ID, SKU, and others.

Automated Workflow: Implemented an end-to-end fully automated workflow, utilizing scripts developed in Perl and Python to pull data from diverse websites. Ensured daily data handling through a normalized database structure.

Quality Assurance: Enabled automated alerts, reports, and validations to address coverage and fill rate-related issues, ensuring the reliability and accuracy of the extracted data.

Monthly IP Rotation: Mitigated website blocking issues by adopting a monthly IP rotation strategy, ensuring uninterrupted data retrieval.

Output Delivery: Established an automated process to upload output records from our database to the client’s database, ensuring seamless integration and timely access to aggregated data.

Some positive outcomes of the project

Efficiency Gains: The streamlined and automated workflow resulted in the efficient handling of over 500,000 products per week, optimizing data extraction processes.
Data Accuracy: Rigorous validation procedures were implemented, achieving a data accuracy rate greater than 99%, enhancing the reliability of the aggregated product information.
Timely Deliveries: Monthly IP rotation and an automated delivery process ensured timely access to updated and accurate product data for informed decision-making.
Comprehensive Coverage: Successfully addressed challenges related to complex script development, multiple attributes, website blocking, and frequent updates, providing a comprehensive solution for eCommerce insights.