The TV5MONDE Test Scraper is a Python-based project designed to scrape and process content from the dynamic site (https://apprendre.tv5monde.com/fr). This test comprises 80 questions aimed at language learners. The project's main goal is to extract, clean, and organize the test questions for further analysis or educational purposes.
- Web Scraping: Utilizes web scraping Tools : Selenium and BeautifulSoup to extract the 80 questions from the TV5MONDE Simulation Test.
- Data Cleaning: Implements data cleaning algorithms to ensure the extracted questions are formatted consistently and free from inconsistencies.
- Excel Sheet Integration: Transforms the cleaned data into an Excel spreadsheet format, making it easy to manage and share the questions.
- Accessibility: Provides an accessible and structured format for educators, language learners, or researchers to explore and analyze the test questions.