Welcome to the Weather Data Scraper repository! This project is designed to fetch weather data from various websites without relying on their APIs, utilizing the power of Selenium and BeautifulSoup. π
This web scraper is capable of:
- π Navigating dynamic web pages
- π Extracting detailed weather information
- π Fetching historical weather data for time series analysis
- Dynamic Content Handling: With Selenium, the scraper can interact with JavaScript-driven content, ensuring all dynamic elements are fully loaded before extraction. β³
- HTML Parsing: BeautifulSoup simplifies HTML parsing, allowing for easy extraction of weather data such as temperature, humidity, wind speed, and more. π‘οΈπ§π¨
- Customizable: The scraper can be customized to target different websites and extract various types of data as per your needs. π οΈ
For my time series project, accurate and comprehensive weather data was essential. Here's how this scraper was beneficial:
- Consistency: Automated data extraction ensured consistency and reduced the risk of human error. π€
- Efficiency: The scraper collected large datasets quickly, which was crucial for building a robust time series model. β±οΈ
- Scalability: Easy to scale for different locations and time periods, providing a wide range of data for in-depth analysis. π
Contributions are welcome! Feel free to open issues or submit pull requests to help improve this project. π
This project is licensed under the MIT License. π