Developed an automated system for collecting and processing cryptocurrency data from CoinGecko. The system:
- retrieves key token data: name, symbol, contract, blockchain, 24h volume, volatility;
- collects contact information of companies and social media (Twitter, Telegram, LinkedIn, website);
- automatically navigates to the "Markets" tab and determines the number of CEX and DEX for each token;
- cleans and normalizes data, merges duplicate entries by token symbol;
- saves the result in an Excel spreadsheet for further analysis and processing.
Technologies used: Python, Pandas, Selenium, BeautifulSoup, OpenPyXL, Requests.
Result - a structured database of tokens from CoinGecko, ready for analytics and market research.
- retrieves key token data: name, symbol, contract, blockchain, 24h volume, volatility;
- collects contact information of companies and social media (Twitter, Telegram, LinkedIn, website);
- automatically navigates to the "Markets" tab and determines the number of CEX and DEX for each token;
- cleans and normalizes data, merges duplicate entries by token symbol;
- saves the result in an Excel spreadsheet for further analysis and processing.
Technologies used: Python, Pandas, Selenium, BeautifulSoup, OpenPyXL, Requests.
Result - a structured database of tokens from CoinGecko, ready for analytics and market research.