GitHub
Email automation tool
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GitHubEmailEmail Marketing
Description
The Email Automation Tool is a Python-based solution that utilizes the Scrapy framework to automate the process of extracting email addresses from websites and sending emails using a CSV file. It simplifies email campaigns by scraping valid email addresses and managing the sending process efficiently.
How to use GitHub?
To use the Email Automation Tool, set up a Python environment using Anaconda or Miniconda, install the required dependencies, and run the scraper with the target URL. The extracted emails will be saved in a CSV file, which can then be used to trigger an email campaign.
Core features of GitHub:
1️⃣
Web scraping to extract email addresses from specified URLs
2️⃣
Automatic email campaign management using collected email data
3️⃣
Validation of email addresses to ensure only valid ones are used
4️⃣
Output of extracted emails in a CSV format for easy access
5️⃣
Respect for robots.txt rules to ensure ethical scraping practices
Why could be used GitHub?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Automating email marketing campaigns by collecting leads from websites | ✅ | |
| # 2 | Extracting contact information for outreach purposes | ✅ | |
| # 3 | Managing bulk email communications efficiently | ✅ | |
Who developed GitHub?
The tool is developed by a community of contributors on GitHub, focusing on providing an open-source solution for email automation using Python and Scrapy.