Random IP Address List Generator

How to use

1. 1️⃣
   Choose your options above
2. 2️⃣
   Click Generate
3. 3️⃣
   Copy your result

Detailed instructions

1. Set the count field to the number of IP addresses your project needs.
2. Select IPv4 for dotted-decimal addresses or IPv6 for hexadecimal colon-separated addresses.
3. Click Generate to produce a fresh randomized list of the specified length.
4. Copy the output list and paste it directly into your test file, database seed script, or mock data config.

Use Cases

• •Seeding a Postgres staging table with hundreds of realistic network traffic records
• •Mocking Apache or Nginx access logs to test a log-parsing pipeline in Python or Go
• •Stress-testing firewall ACL rules with a large batch of varied IPv4 source addresses
• •Generating fixture data for Jest or Pytest unit tests in a network security tool
• •Populating a geolocation lookup UI with sample IPv6 addresses before a client demo

Tips

• →Generate IPv6 addresses even for primarily IPv4 projects — testing dual-stack handling early prevents bugs later.
• →If you need unique addresses across multiple batches, save each generated list before regenerating to avoid accidental duplicates.
• →Paste a large batch into a spreadsheet and add a second column with random ports (1–65535) to create realistic socket address test data.
• →For log-parsing tests, wrap each IP in a realistic log line template — the variety of addresses will expose edge cases in your regex or parser.
• →To simulate geographically distributed traffic in a dashboard demo, pair each generated IP with a fake country code from a separate random data tool.
• →Avoid using any generated address that starts with 127., 0., or 255. if your application explicitly rejects loopback or broadcast addresses — filter those out before seeding.

FAQ