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Also include the private bus information for the selected routes.\nStore the data in a structured SQL database.\nDevelop an interactive Streamlit application for data filtering.\nEnsure the application is user-friendly and efficient.\n\n\n\n## Overview\n\u003e **This project demonstrates how to use `Selenium`, a web automation tool, to scrape bus ticket data from Redbus.com. It leverages `Streamlit`, a Python framework for building interactive web applications, to provide a dynamic user interface for filtering the scraped data.**\n\u003e\n\u003e **I combined scraped data from multiple Redbus state buses into a unified CSV file and standardized its format.**\n\u003e \n\u003e **I use `SQLite3` as a database to store data of redbus.**\n\u003e \n\u003e **Using `Streamlit` web framework for building dynamic filtering application for easy to use.**\n\n\u003e * Application contains search parameters include :\n   - Source\n   - Destination\n   - Filter Option by:\n      - Rating\n      - Price\n      - Bus Type\n    \n## Challenges:\n\u003e 1. **Dynamic Content and JavaScript Rendering**\n\u003e\n\u003e 2. **Data Consistency and Formatting**\n\u003e\n\u003e 3. **Data Quality and Accuracy**\n\n    \n\n\n\n**Reference**:\n- https://github.com/Tharanipriyadevi/Red_bus\n\n\u0026copy; 2024\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvenumadhav2407%2Fredbus_streamlit_app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvenumadhav2407%2Fredbus_streamlit_app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvenumadhav2407%2Fredbus_streamlit_app/lists"}