This Python project scrapes and collects Valorant player statistics from VLR.gg using web scraping techniques. The data is exported to a CSV file for analysis, including detailed player performance data, such as agents used, rounds played, ACS, K/D ratio, and more.
- Player Search: Search for a Valorant player by name and retrieve their profile.
- Data Extraction: Extract detailed stats for each agent a player has used, including key performance metrics.
- Multithreading Support: Option to scrape player stats concurrently using multiple threads.
- Data Export: Export player stats to a CSV file for easy analysis.
requests: For sending HTTP requests to retrieve data from the web.BeautifulSoup: For parsing and scraping the HTML content of web pages.pandas: For data manipulation and export (optional).csv: To export the player stats into a CSV format.logging: For detailed logging of the scraping process.ThreadPoolExecutor: For concurrent scraping to speed up data collection.
Download the requiremnets.txt from the repository.
To use this project, clone the repository and install the required dependencies:
git clone https://github.com/your-username/valorant-data-collector.git
cd valorant-data-collector
pip install -r requirements.txt