Web Directory Scraping and Data Automation

francis christin

Data Scraper
BeautifulSoup
Python
Scrapy
I successfully completed a project involving the extraction and automation of data from a web directory using Python, Scrapy, BeautifulSoup, Selenium, and Python Requests. The extracted data was processed and delivered in multiple formats, including Excel, CSV, XML, SQL, and JSON, based on the client’s specific requirements. This project emphasized high accuracy and efficiency, ensuring all critical data points were captured and structured appropriately. The automated process significantly reduced manual effort, enabling the client to gain actionable insights from the web directory quickly and effectively.
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