๐๐ฒ๐๐ฐ๐ฟ๐ถ๐ฝ๐๐ถ๐ผ๐ป: ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป: Chose BigBasket, a website with publicly accessible product listings. ๐๐ฎ๐๐ฎ ๐๐ ๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป: Used the Beautiful Soup library to scrape HTML content and extract relevant information such as product titles, prices, quantities, and discounts. ๐๐ฎ๐๐ฎ ๐ฆ๐๐ผ๐ฟ๐ฎ๐ด๐ฒ: Stored the extracted data in a structured format (CSV file) for further analysis and use. ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ๐: Handled issues like dynamic content loading, ensuring accurate and complete data extraction.
๐๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐:
- 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.
๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ๐ ๐๐ฎ๐ฐ๐ฒ๐ฑ:
- 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.