Aggregation of User-Generated Content from Retail Websites

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Aggregation of User-Generated Content from Retail Websites

Web Data Automation for Retail Industry Case Study

Problem Statement

Our client, faced with the task of consolidating customer reviews from 3000 e-commerce websites, including tracking over 800,000 products, aimed to tackle intricate issues in configuring crawlers. These challenges comprised ensuring data quality, navigating anti-bot defenses, and adapting to dynamic changes in website structures.

Our solution

To overcome these challenges and streamline the review aggregation process, an effective solution was implemented through advanced automation techniques.

Setup Crawler: Configured crawlers to efficiently gather information from 3000 websites.
Periodic Refresh of Crawlers: Developed and maintained crawlers to ensure regular data refreshes and accurate tracking of over 800,000 products.
Data Updation on Client’s Server: Daily updates of the collected 10 million data to the designated server for timely analysis and decision-making.
Weekly Monitoring: Regularly monitored crawler performance through the analysis of the crawler’s “Extractor History.”
Stringent Quality Check: Conducted a thorough examination of gathered information to ensure accuracy, comprehensiveness, and alignment with industry standards.

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Benefits

Data Reliability and Accuracy: Ensured 99% accuracy and reliability in the extracted data, facilitating in-depth analysis of customer reviews.
Time and Resource Savings: Significantly reduced the need for human intervention, leading to substantial time and resource savings for the client.
Improved Customer Insights: Empowered the client to gain comprehensive insights, facilitating data-driven decisions to enhance their products and services for their customers.