Handling multiple state requests posed a challenge in terms of ensuring accurate and timely data extraction. The following steps were implemented to address these requirements:

• Multi-State Scraping Framework: A tailored scraping framework was designed to handle data extraction from multiple SOS websites. The framework was equipped to input the company names and pull relevant business details across various states. This ensured seamless, efficient extraction of required data elements for each state.

• State-Specific Data Aggregation: We implemented a process to collect and verify data from each requested state, ensuring the extraction of key elements such as Company Name, Address, and Status. The state-specific nuances were considered, allowing for accurate data collection across varying formats and layouts.

• Data Normalization and Validation: Automated scripts were developed to normalize the scraped data. This included standardizing data formats and running validations to ensure that the collected information was complete and free from duplication or inconsistencies.
• Real-Time Data Updates: A system was developed to deliver real-time updates from the requested states, ensuring that the business information was accurate and current. The framework was designed to perform these updates on demand, providing timely insights for the client.