Coordinator Data Scraper

This project contains a Python script that use Selenium, BeautifulSoup, and Pandas to extract coordinator information from Erasmus+ project URLs. The extracted data is processed and saved into an Excel file for easy access.

Features

• Web Scraping: Automatically opens a URL using a headless Chrome browser and extracts coordinator information from specific Erasmus+ project pages.
• Data Extraction: Collects details such as coordinator name, address, city, country, type, website, and phone number.
• Excel Export: Saves the extracted data to an Excel file.

Requirements

Make sure the following Python packages are installed before running the script:

• selenium: Web automation tool for navigating and interacting with web pages.
• webdriver-manager: Automatically manages and installs the appropriate browser drivers.
• beautifulsoup4: A Python library used for parsing HTML and extracting data from it.
• pandas: A powerful data manipulation library for working with data structures and writing data to Excel.
• openpyxl: Required by pandas to write data to Excel files.