𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻: 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻: Chose BigBasket, a website with publicly accessible product listings. 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Used the Beautiful Soup library to scrape HTML content and extract relevant information such as product titles, prices, quantities, and discounts. 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Stored the extracted data in a structured format (CSV file) for further analysis and use. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Handled issues like dynamic content loading, ensuring accurate and complete data extraction.
𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:
- Utilized Selenium for navigating and interacting with the dynamic website.
- Leveraged Beautiful Soup for parsing HTML content and extracting product details.
- Implemented a scrolling mechanism to handle infinite scrolling and ensure all products were captured.
- Ensured data integrity by handling missing or unavailable data gracefully.
𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗙𝗮𝗰𝗲𝗱:
- Managing dynamic content loading and ensuring the scraper captures all products as the page scrolls.
- Handling website structure changes and ensuring the scraper adapts accordingly.
- Optimizing the scraper to efficiently process and store large amounts of data.