A Python automation tool that creates multiple cloud droplets and searches for a specific IP range.

The script repeatedly creates DigitalOcean droplets, checks their assigned public IP addresses and determines if they fall within a desired CIDR range. When a matching IP is found, it is saved and the process stops.

This can be useful for cloud infrastructure experiments, networking research and automated IP allocation testing.

• ☁️ Automatically creates multiple DigitalOcean droplets
• 🔍 Checks whether droplet IPs fall within a target CIDR range
• ⚡ Fully automated droplet creation and deletion loop
• 🧵 Handles multiple droplets simultaneously
• 💾 Saves matching IPs to live.txt
• 🗑 Includes a script to delete droplets automatically

digitalocean-ip-finder/
│
├── create.py
├── delete.py
├── live.txt
└── README.md

• Python 3.7+

Python packages:

python-digitalocean
requests

Install dependencies:

pip install python-digitalocean requests

Create a DigitalOcean API token from your account dashboard.

Set it as an environment variable:

export DO_TOKEN=your_api_token

Update the script to use the token:

token = os.getenv("DO_TOKEN")

python create.py

The script will:

1. Create multiple droplets
2. Wait for them to become active
3. Check their public IP addresses
4. Compare them against the target CIDR range
5. Save a matching IP to live.txt

Example output:

Droplet: droplet-1, IP: 137.184.137.22
Droplet: droplet-2, IP: 137.184.138.10
Found valid IP: 137.184.138.10

To remove droplets created by the script:

python delete.py

Example output:

Successfully deleted droplet id: 123456789
Successfully deleted droplet id: 123456790

1. Create droplets using the DigitalOcean API
2. Wait until each droplet becomes active
3. Retrieve the public IP address
4. Check if the IP belongs to a target CIDR range
5. Save valid IPs
6. Delete droplets and repeat if no match is found

This tool is intended for:

• Cloud automation experiments
• Networking research
• Educational purposes

Always ensure you understand cloud provider pricing and API limits before running automated infrastructure scripts.

Contributions are welcome.

Possible improvements:

• Support for multiple regions
• Faster droplet provisioning
• Automatic droplet tagging
• Multi-threaded droplet management
• Improved error handling
• Proxy / API rate-limit handling

Planned improvements:

• 🌍 Multi-region droplet creation
• ⚡ Parallel droplet creation
• 📊 Real-time droplet status dashboard
• 🔐 Secure environment variable token handling
• 📁 JSON export of results
• 🧠 Automatic CIDR range configuration
• 🧵 Improved concurrency

MIT License