Moonrise Moonset API + Google Drive Integration

Why connect them

The Moonrise Moonset API in Google Drive.

Google Drive is the cloud storage backbone for millions of organizations. Integrating APIs with Google Drive enables automated file processing, metadata enrichment, and intelligent organization. Transform your file storage into an automated workflow hub.

What you can build

Workflows worth wiring.

Automatically process uploaded documents and extract text using OCR APIs

Generate PDF reports from API data and save them to organized folders

Create automated backups of API responses as JSON files in Drive

Process uploaded images through analysis APIs and rename based on content

Templates

Ready-made ideas.

Scheduled monthly Fetch moonrise/moonset for each day → save report

Generate monthly moon reports

Generate a monthly report file in Google Drive with daily moonrise, moonset, and phase data for your observation location.

New file uploaded Parse locations → fetch moonrise/moonset → save results

Process location files for moon data

When a CSV of locations is uploaded, fetch moonrise, moonset, and phase for each and save a results file.

Setup

Connect it in a few steps.

Set up with Zapier

1
Set the trigger. Create a Zap with Google Drive as the trigger app and "New file" as the event. Connect your account.
2
Add the API action. Add APIVerve as the action, select the Moonrise Moonset API, and map your trigger data to the request.
3
Send it back. Add a second Google Drive action for "Upload file" and map the returned fields (like coordinates) 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 Google Drive module set to "New file". Authenticate your account.
2
Call the API. Add an HTTP module pointing at api.apiverve.com/v1/moonrisemoonset 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 Google Drive module for "Upload file". Map fields like data.coordinates 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 Google Drive trigger node for "New file" and connect your credentials.
2
Add an HTTP Request node. Point it at api.apiverve.com/v1/moonrisemoonset using Header Auth (x-api-key). Feed in the trigger data.
3
Map with expressions. Add a Google Drive node for "Upload file" and reference the response with expressions such as {{ $json.data.coordinates }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What Google Drive receives.

coordinateslatitude, longitude

phase"Waning Crescent"

moonrise"2025-12-16T12:24:41.532Z"

moonset"2025-12-16T22:22:04.027Z"

moonAlwaysUpfalse

moonAlwaysDownfalse

Moonrise Moonset API + Google Drive