Extraction and Monitoring SOS Registry data

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Extraction and Monitoring SOS Registry data

Web Data Automation for Finance Case Study

Problem Statement

A leading data solutions provider aimed to gather comprehensive US business information from various SOS websites annually. The challenge was to efficiently extract essential data elements, including Company Name, Address, and status, from these sources.

Our solution

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.

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Benefits

Increased Accuracy: Achieved a 98% accuracy rate in extracted data, ensuring reliable and trustworthy information for clients’ marketing campaigns and business decisions.
Time Efficiency: Reduced data extraction time by 60%, allowing clients to access fresh business information promptly and enabling quicker decision-making processes.