This Python script is designed to scrape job listings from various company websites and send email notifications to specific recipients based on keywords found in the job listings. It provides a flexible way to monitor job opportunities that match your criteria.

• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Configuration
  • Email Configuration
  • Recipient Configuration
• Customization
• Contributing
• License

• Scrapes job listings from multiple company websites.
• Filters job listings based on specific keywords (e.g., "data," "audit," "scrum").
• Sends email notifications to different recipients for each keyword.
• Uses Pandas for data management and email.mime for email creation.

Before running the script, make sure you have the following prerequisites installed:

• Python 3.7 or higher
• Required Python packages (install them using pip):
  • beautifulsoup4 (4.12.2)
  • pandas (2.1.1)
  • requests (2.31.0)
  • urllib3 (1.26.16)
  • brotli (1.1.0)

1. Clone the repository to your local machine:

   git clone https://github.com/Ismat-Samadov/vacancy_notifier.git
   cd vacancy_notifier

2. Create a virtual environment (recommended) and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use: venv\Scripts\activate

3. Install the required Python packages from the requirements.txt file:

   pip install -r requirements.txt

To use the job scraper and email notifier, follow these steps:

1. Edit the script to customize it for your specific needs.

2. Set up your email configuration and recipient configuration (see Configuration).

3. Run the script:

   python main.py

The script will scrape job listings, filter them based on your criteria, and send email notifications to the specified recipients.

In the script, you'll need to configure your email settings to send notifications. This includes the sender's email address, email password, and SMTP server settings.

from_email = "[email protected]"
email_password = "your_email_password"

Make sure to secure your email credentials and consider using environment variables for enhanced security.

In the filter_and_send_emails method, you can specify recipients for different job categories. Customize this section to match your requirements.

if not df_data.empty:
    self.send_email(df_data, "[email protected]")

You can customize the script to scrape job listings from additional company websites or modify the keywords used for filtering. Additionally, you can extend or modify the email notification logic to match your preferences.

Contributions are welcome! If you have ideas for improvements or new features, please open an issue or submit a pull request.