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Advanced Weather Insights

A modern, futuristic weather data scraper and visualization application built with Flask, BeautifulSoup, and modern frontend technologies.

Features

  • Location Search: Enter any city, state, or village name to get detailed weather information
  • Comprehensive Weather Data: Current conditions, forecasts, air quality, pollen counts, and more
  • Futuristic UI: Beautiful, responsive dashboard with animated elements and intuitive visualization
  • No API Keys Required: Data is scraped directly from weather.com
  • Responsive Design: Works o 8224 n desktop and mobile devices
  • Geolocation Support: Option to use your current location for weather data
  • Multiple Location Methods: Search by city name, coordinates, or use browser geolocation

Requirements

  • Python 3.6+
  • Flask
  • BeautifulSoup4
  • Requests

Installation

  1. Clone this repository or download the files
  2. Install the required dependencies:
pip install -r requirements.txt
  1. Run the application:
python app.py
  1. Open your browser and navigate to http://127.0.0.1:5000/

Usage

  1. Enter a location in the search bar (city name, state, village, etc.)
    • For better results, include the country name (e.g., "Paris, France")
    • You can also enter coordinates directly (e.g., "40.7,-74.0")
    • Or click the location icon to use your current location
  2. Click the search button or press Enter
  3. View the comprehensive weather data in the dashboard
  4. For issues finding a location, try:
    • Using a more specific location name
    • Adding the country name
    • Using a larger nearby city
    • Using coordinates if you know them

Project Structure

Weather Data Scraper/
├── app.py                  # Main Flask application
├── requirements.txt        # Python dependencies
├── templates/              # HTML templates
│   └── index.html          # Main dashboard template
├── static/                 # Static assets
│   ├── css/
│   │   └── style.css       # Styles for the application
│   └── js/
│       └── app.js          # Frontend JavaScript functionality
└── .gitignore              # Git ignore file

Technical Implementation

  • Backend: Flask web framework handles routing and responses
  • Web Scraping: BeautifulSoup4 extracts weather data from weather.com
  • Location Search: Multiple geocoding methods for better location accuracy
  • Frontend: Modern HTML5, CSS3, and vanilla JavaScript
  • Visualization: Custom-built gauge for air quality index and interactive charts
  • Error Handling: Comprehensive error handling with user-friendly suggestions

Disclaimer

This application is for educational purposes only. The data is scraped from weather.com and should not be used for critical decision-making. Please respect the terms of service of any website you scrape data from.

License

This project is open-source and available for personal and educational use.

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