Collection and analysis of crypto tokens from CoinMarketCap

Developed an automated process for collecting and processing cryptocurrency data from CoinMarketCap. The system:
- extracts key token data: name, symbol, contract, blockchain, 24h volume, volatility;
- gathers contact information of companies and social media (Twitter, Telegram, LinkedIn, website);
- filters tokens by specified thresholds of volume and volatility;
- cleans and normalizes data, including removing unnecessary elements from token_contract;
- merges duplicate records by token symbol, retaining the most complete information;
- saves the result in a structured Excel spreadsheet with all necessary fields for further analysis.

Technologies used: Python, Pandas, Selenium, BeautifulSoup, OpenPyXL, Requests.

Result - a ready database of tokens from CoinMarketCap, conveniently structured for analytics and market research.