Automate Restaurant Data Collection with Python and SeleniumAutomate Restaurant Data Collection with Python and Selenium
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Anas Kaithakoden
• May 12
Developed a data extraction system using Python and Selenium to collect and organize structured business data from web sources.
The project focused on automating large-scale restaurant data collection while handling dynamic website content and multi-page navigation reliably.
Key contributions:
• Built automated scraping workflows using Python and Selenium
• Extracted restaurant and business data from multiple pages and dynamic web elements
• Handled pagination and browser interactions for reliable large-scale data collection
• Cleaned, organized, and structured extracted data into CSV format for analysis and business use
• Improved efficiency by automating repetitive manual data collection tasks
Tech stack: • Python • Selenium • CSV Data Processing • Web Scraping • Browser Automation
Result: Delivered organized datasets ready for analysis, reporting, and operational use.
Web ScrapingMicrosoft ExcelPythonSelenium
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