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Email Parser Tool to Export Email Data Directly into Google Sheets.
$18000
Annual Revenue
$75,000
Asking Price
Business Model
Subscriptions and Lifetime Deals
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Quick Metrics
$1500
Monthly Revenue
60+
Number of Customers
Micro SaaS
Listing type
2,000
Monthly visitors/users
Nov 1st, 2023
Business Start Date
4.2x
Asking multiple
Expenses
All profit other than domain registration.
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Project Overview
Extract data from emails and export to Google Sheets with an email parser. Use the Gmail email extractor to pull text from your email to csv, excel, or spreadsheet.
This tool extracts data from your emails and exports it to Google Sheetsâ„¢. Import emails and parse the contents of the email into Google Sheetsâ„¢ to analyze data.
Turn Gmailâ„¢ into your database by extracting the data you need from templated emails like invoices and confirmations.
No external service is needed. Run all your imports right in Google Sheetsâ„¢.
🔒 Your data stays in your Google Sheets™. Email Parser is GDPR compliant as we do not store or transfer any personal data. This is because your data is stored in your Google Sheets ™ and is never saved in our database.
Features:
- Search emails by subject, dates, and content
- Filter text within the email and extract the fields you need
- Extract data from templates that change
- Save your searches for future parsing
- Automate extracting text from emails
Key Stats:
✅ Annual Revenue: $18,000
✅ Customers: 60
✅ Business model: SaaS/LTD
✅ Built with: Vanilla JS
- Tech Stack
Vanilla JS
- Target Audience
General
- Included Assets
Codebase
Domain
Website
Customers
Email List
Copyright
- Asking Price Reason
5x Profit multiple. Based on last months revenue. Growing fast, 1 hour of basic support per week.
- Reason For Selling
Focus on another project.
Traffic Metrics
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Revenue Metrics
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- Contact Seller
FAQ with Seller
Marketing, seo, etc.
Tried email marketing and some adwords but not my forte.
1 hour per week responding to easy customer support requests.
If you know some marketing, you can easily double or triple within a few months. Scales easy, no need to code as all kinks have been worked out and it just runs itself.