This project involves scraping vehicle-related data from various websites, such as vehicle crash details, VIN numbers, and vehicle make/model information. It also includes downloading zip files from restricted websites and extracting their contents for data analysis.
The challenge was accessing restricted websites and downloading zip files while maintaining data accuracy during the extraction process. VPNs and proxies were essential for overcoming geographical restrictions.
The scraping process used BeautifulSoup and Python's request library to extract data. VPNs were employed to bypass geographic restrictions. Zip files were downloaded, extracted, and filtered using automation scripts to capture relevant vehicle data.
The solution automated the process of vehicle data extraction and zip file handling, making it easier for clients to obtain accurate and timely vehicle-related information for analysis and reporting.