Data Scraping For Crypto currencies Analysis and Trading
Abdulrahman Elsmmany
As an experienced Artificial Intelligence Engineer, I've successfully executed a project involving the automation of cryptocurrency data retrieval and organization from a platform lacking a dedicated API.
Key Features:
Web Scraping with Python and Selenium: Developed scripts to scrape real-time cryptocurrency data from a platform without an API, ensuring accurate and up-to-date information.
Google Sheets Integration: Implemented seamless integration with Google Sheets to store and organize the scraped cryptocurrency data. This allows for easy access, analysis, and sharing of information.
Telegram Bot Integration: Developed a Telegram bot to send regular updates to users, providing them with valuable insights into the cryptocurrency market. The bot also facilitates user interaction, allowing them to request specific information.
Server Hosting: Deployed the entire solution on a server to ensure continuous 24/7 functionality. This ensures that the data retrieval, organization, and Telegram bot functionalities operate seamlessly, providing users with real-time updates.
Advantages:
Automation: Eliminated manual data entry and updates, saving time and ensuring accuracy.
User Engagement: Empowered users with real-time cryptocurrency insights and the ability to request specific information through the Telegram bot.
Reliability: Hosting on a dedicated server ensures uninterrupted operation, allowing users to access the latest cryptocurrency data at any time.
Technologies Used:
Python
Selenium
Google Sheets API
Telegram Bot API
Server Hosting
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Posted Feb 4, 2024
Automated system using Python, Selenium, Google Sheets, and Telegram. Scrapes real-time crypto data, organizes in Google Sheets, and sends updates via Telegram
