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In the world of data processing, managing and validating email addresses from large datasets is a crucial task. Whether for marketing, analytics, or cybersecurity, having a reliable script to extract and validate emails is a must. Let me introduce my Email Extraction and Validation Script, which efficiently processes emails with advanced categorization, validation, and storage techniques.
Overview of the Script
The script is designed to:
How It Works
Input:A text file containing raw data.
Processing:
Extract emails.
Validate them through regex and DNS checks.
Categorize and save valid emails dynamically.
Output: Files categorized by domain and a summary report in the logs.
Applications
Overview of the Script
The script is designed to:
- Extract emails using a robust regex pattern that supports global email formats.
- Validate email addresses through DNS MX record checks.
- Categorize emails by their domain (e.g., Gmail, Yahoo, Microsoft).
- Save results dynamically, ensuring scalability and traceability.
How It Works
Input:A text file containing raw data.
Processing:
Extract emails.
Validate them through regex and DNS checks.
Categorize and save valid emails dynamically.
Output: Files categorized by domain and a summary report in the logs.
Applications
- Marketing: Validate subscriber lists before campaigns.
- Data Cleaning: Remove invalid entries.
- Security: Analyze suspicious domains or emails.