This Python application uses Selenium, running in a Dockerized environment, to scrape school websites for contact information. It iterates over a predefined list of places, accesses a school listing website for each, collects URLs for individual schools, and scrapes each school's website for contact details like email addresses.

Before you begin, ensure you have met the following requirements:

• Docker and Docker Compose are installed on your machine.
• Basic knowledge of Docker and containerization.

To set up the School Contact Scraper, follow these steps:

1. Clone the repository to your local machine.
2. Navigate to the cloned directory.

To run the application, execute the following command in the terminal:

docker-compose up --build

This command builds the Docker images and starts the containers as defined in your docker-compose.yml file. Specifically, it sets up a Selenium Hub, a Chrome node, and your application in separate containers.

The project structure includes the following files and directories:

• docker-compose.yml: Defines the multi-container Docker applications.
• Dockerfile: Instructions for building the application's Docker image.
• requirements.txt: Lists the Python dependencies for the application.
• scrape.py: The main Python script for scraping websites.
• school_emails.csv: File where scraped email addresses are stored.
• wait-for-it.sh: A script for controlling the order of service startup in Docker Compose.

To stop the application and remove the containers, networks, and volumes created by docker-compose up, run:

docker-compose down

• Ensure that the ports defined in docker-compose.yml are available on your machine.
• The application's behavior can be modified by changing the list of places in scrape.py.

For any contributions or suggestions, please open an issue or submit a pull request.