Web Scraping

  • Technology used:: Web Scraping , Artificial Intelligence ,Web Development

▪ User Input Handling: Implement mechanisms to receive user input, such as URLs or search queries, allowing users to specify the websites or content they want to scrape. Validate user input to ensure it meets required criteria and is safe to use for web scraping.


▪ Web Scraping Logic: Develop web scraping logic to extract relevant data from web pages based on user input. Utilize libraries like BeautifulSoup or Scrapy to parse HTML content, navigate website structures, and extract desired information such as text, images, or links.


▪ Data Storage in MongoDB: Establish a connection to MongoDB to store the scraped data. Design a suitable database schema to store different types of scraped content, including metadata such as URLs, timestamps, and any additional relevant information. Store the scraped data in MongoDB collections for easy retrieval and manipulation


▪ Web Interface Development: Create a web interface to interact with the web scraping model. Develop frontend components using HTML, CSS, and JavaScript to provide a user-friendly interface for inputting URLs or search queries and displaying scraped content. Utilize frameworks like Flask or Django for backend development to handle user requests and data processing.


▪ Content Display: Design mechanisms to display scraped content on the web interface. Use templates or dynamic rendering techniques to present the scraped data in an organized and visually appealing manner. Allow users to navigate through the scraped content, view details, and interact with the displayed information as needed.