This Python-based email scraper extracts email addresses from websites listed in a CSV file. It uses the Playwright library to interact with web pages and locate email addresses on both the main page and designated contact pages.

• Scrapes email addresses from the main page of a website.
• Follows and scrapes contact pages linked from the main page.
• Converts relative URLs to absolute URLs.
• Logs errors to error_log.txt for troubleshooting.
• Saves results to a new CSV file with an additional 'Email' column.

• Python 3.10
• Google Chrome or Chromium browser

1. Clone the repository:

   git clone https://github.com/r7avi/Scrape-Emails-from-Websites.git
   cd email-scraper
   

2. Set up a virtual environment (optional but recommended):

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

3. Install required packages:

   pip install -r requirements.txt
   
   

4. Download and install Google Chrome or Chromium:

   Ensure you have Google Chrome or Chromium installed. The script uses Playwright's Chromium driver by default but you can specify the path to Chrome if needed.
   

5. Run the script:

   python email-scrapper.py
   

6. Select a CSV file:

   A file dialog will prompt you to select a CSV file containing website URLs. Ensure the CSV file has a column named Website.
   

7. Review results:

   The script will process each website, extract email addresses, and save the results to a new CSV file with an added Email column.
   
   

Errors encountered during the scraping process are logged in error_log.txt. Review this file for troubleshooting any issues.