Managing a vast dataset of around 70 million unique records in each refresh presented a significant challenge. To address this challenge, an advanced solution was implemented:

• Scraping Framework Development: A customized crawler framework was developed to aggregate data from various SOS websites. The framework was designed to review input sites, ensuring efficient extraction of required data elements.
• Data Aggregation and Verification: The crawler framework was executed to scrape business information from the input sites. Special attention was given to verifying the accuracy and consistency of the extracted data, enhancing its reliability.
• Data Normalization: We developed automated scripts to normalize and validate the scraped data. Data formatting and data deduplication were done to provide consistent information.
• Real-time Updates: The database was updated in real-time by integrating cloud-based technology. This ensured that the business information remained accurate and up-to-date, meeting the clients’ marketing and business needs.