Email Scraper Extracts email addresses from websites or text
The Email Scraper is a Python project that allows users to extract email addresses from websites, text files, or raw data. It helps in data collection, lead generation, and email validation by scanning web pages or documents for email patterns. This tool is useful for marketers, researchers, and developers who need to gather contact information efficiently.
Key Features:
✅ Extract Emails from Websites – Scrapes email addresses from web pages
✅ Extract Emails from Text Files – Scans documents and extracts valid emails
✅ Automatic Filtering – Removes duplicates and invalid email formats
✅ Fast & Efficient Scraping – Uses regex and web scraping techniques
✅ Export Emails to CSV or Excel – Saves extracted emails for easy use
Technology Used:
🟢 Python
🟢 Requests – For fetching web pages
🟢 BeautifulSoup – For parsing HTML and extracting emails
🟢 re (Regex) – For pattern-based email extraction
🟢 Pandas – For exporting data to Excel
Use Cases:
• Lead Generation – Extract potential business contacts from websites
• Market Research – Collect emails for surveys and outreach campaigns
• Data Validation – Identify and validate email formats in bulk
• Competitive Analysis – Scrape competitor contact details
Video Tutorial Overview:
📌 Introduction to Email Scraping – What it is and how it works
📌 Setting Up Python & Installing Dependencies
📌 Extracting Emails from a Website using Web Scraping
📌 Extracting Emails from a Text File using Regex
📌 Saving Extracted Emails to CSV or Excel
📌 (Bonus) Advanced Filtering & Avoiding Website Blocks
🚀 Watch the tutorial and learn how to extract emails using Python!
