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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.