A collection of tools and utilities for e-commerce entrepreneurs, dropshippers, and online sellers.
- Python (Tkinter GUI, scrapers, calculators)
- Node.js (landing page builders, web tools)
- HTML5 / CSS3 / JavaScript (static landing pages and templates)
- CODMaroc — Cash-on-delivery resources for the Moroccan market
- Dropshipping Business Calculator — Desktop app for profit, COD risk, break-even, and scaling calculations
- findcustomersProblem — Python scraper that identifies customer pain points from online sources
- LandingPageClonedExemple — Example of a cloned landing page for reference
- LandingePagesBuilderV1 — Landing page builder tool (v1)
- LandingPageGenerator — Automated landing page generation tool
- MasterClasssDropshipping — Dropshipping masterclass materials
- POD Tool — Print-on-demand product tooling
- ShipProductsFinder — Product shipping and fulfillment finder
- SPYToools — Competitive research tools including BestSellerProducts, WiningProducts, and product spy utilities
- Python 3.8+ (for Python-based tools)
- Node.js 18+ (for Node-based tools)
Each tool is self-contained. Navigate to the specific tool directory and follow its own instructions.
# Clone
git clone https://github.com/yourusername/ecom.git
cd ecom
# Example: Dropshipping Business Calculator
cd "Dropshipping Business Calculato"
python app.py
# Example: findcustomersProblem
cd findcustomersProblem
pip install -r requirements.txt
cp .env.example .env # Configure your API keys
python problem_finder.pyEcom/
├── CODMaroc/ # COD resources for Morocco
├── Dropshipping Business Calculato/ # Profit/risk calculator (Python/Tkinter)
├── findcustomersProblem/ # Customer pain point scraper
├── LandingePagesBuilderV1/ # Landing page builder v1
├── LandingPageClonedExemple/ # Cloned landing page example
├── LandingPageGenerator/ # Automated landing page generator
├── MasterClasssDropshipping/ # Dropshipping masterclass materials
├── POD Tool/ # Print-on-demand tooling
├── ShipProductsFinder/ # Shipping/fulfillment finder
└── SPYToools/ # Competitive research tools
MIT