Random Data Generator API + GitHub Integration

Why connect them

The Random Data Generator API in GitHub.

GitHub is where developers build software together. Connecting APIs to GitHub enables automated code workflows, intelligent issue management, and CI/CD enhancements. Supercharge your development processes with external data.

What you can build

Workflows worth wiring.

Automatically validate URLs in README files for broken links

Check DNS configurations when deploying to new environments

Verify SSL certificates as part of deployment pipelines

Create issues automatically when external monitoring detects problems

Templates

Ready-made ideas.

New issue created in GitHub Generate random data with type and count → add data array values as test input in issue comment

Fuzz Test Data in GitHub Issues

Attach randomly generated test inputs to GitHub issues for fuzz testing and bug reproduction.

New pull request opened in GitHub Generate random data for multiple types → comment with type and data values as test fixtures

Random Test Fixtures in GitHub PRs

Add random test fixture data to GitHub pull requests for reviewers to validate input handling.

Setup

Connect it in a few steps.

Set up with Zapier

1
Set the trigger. Create a Zap with GitHub as the trigger app and "New issue" as the event. Connect your account.
2
Add the API action. Add APIVerve as the action, select the Random Data Generator API, and map your trigger data to the request.
3
Send it back. Add a second GitHub action for "Create issue" and map the returned fields (like type) into it.
4
Test & turn on. Test the Zap with real data to confirm the mapping, then turn it on.

Set up with Make

1
Add the trigger. Create a scenario and add a GitHub module set to "New issue". Authenticate your account.
2
Call the API. Add an HTTP module pointing at api.apiverve.com/v1/randomgenerator with your x-api-key header. Pass the trigger's data as the input.
3
Parse & map. Add a JSON module to read the response, then a GitHub module for "Create issue". Map fields like data.type into place.
4
Activate. Run once to confirm the mapping, then switch the scenario on and set its schedule.

Set up with n8n

1
Add the trigger node. Start a workflow with a GitHub trigger node for "New issue" and connect your credentials.
2
Add an HTTP Request node. Point it at api.apiverve.com/v1/randomgenerator using Header Auth (x-api-key). Feed in the trigger data.
3
Map with expressions. Add a GitHub node for "Create issue" and reference the response with expressions such as {{ $json.data.type }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What GitHub receives.

type"phone"

count10

dataarray of 10

Random Data Generator API + GitHub