A Python-based bot that scrapes varsity squash match data from ClubLocker.com and automatically posts results with images to Twitter. This project leverages AWS Lambda for automated, serverless processing.
- Data Scraping: Extracts match data from ClubLocker.com to provide up-to-date information on varsity squash matches.
- Twitter Automation: Posts match results, along with images, directly to Twitter using the Twitter API, boosting social media engagement.
- Serverless Automation: Utilizes AWS Lambda to handle data extraction and posting processes, ensuring a fully automated and scalable solution.
- Python: Core programming language used for data scraping, API integration, and automation.
- AWS Lambda: Serverless computing for automated data scraping and posting processes.
- Twitter API: Used for posting match results with images to a designated Twitter account.