Why connect themThe Chart Generator API in Google Sheets.
Google Sheets is the go-to collaborative spreadsheet for teams worldwide. Connecting APIs to Google Sheets transforms your spreadsheets into dynamic, self-updating data hubs. Automatically populate rows with API responses, validate data in real-time, and create living dashboards that reflect the latest information.
What you can buildWorkflows worth wiring.
Automatically validate email addresses in a contact list and flag invalid entries
Build a real-time currency conversion tracker that updates exchange rates hourly
Create a lead scoring spreadsheet that enriches contact data with IP geolocation
Monitor domain SSL certificates and log expiration dates for your portfolio
TemplatesReady-made ideas.
Row updated or added Read data → generate chart → insert downloadURLGenerate charts from spreadsheet data
When spreadsheet data changes, generate a bar, line, or pie chart from the labels and datasets and write the downloadURL into a cell.
Scheduled weekly Read rows → generate chart → email downloadURLWeekly report chart from sheet data
Pull the latest data from your Google Sheet, generate a chart with a title, and email the downloadURL to your team.
SetupConnect it in a few steps.
Set up with Zapier
- 1
Set the trigger. Create a Zap with Google Sheets as the trigger app and "New row added" as the event. Connect your account.
- 2
Add the API action. Add APIVerve as the action, select the Chart Generator API, and map your trigger data to the request.
- 3
Send it back. Add a second Google Sheets action for "Add row" and map the returned fields (like id) 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 Sheets module set to "New row added". Authenticate your account.
- 2
Call the API. Add an HTTP module pointing at api.apiverve.com/v1/chartgenerator 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 Sheets module for "Add row". Map fields like data.id 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 Sheets trigger node for "New row added" and connect your credentials.
- 2
Add an HTTP Request node. Point it at api.apiverve.com/v1/chartgenerator using Header Auth (x-api-key). Feed in the trigger data.
- 3
Map with expressions. Add a Google Sheets node for "Add row" and reference the response with expressions such as {{ $json.data.id }}.
- 4
Execute & activate. Execute manually to verify, then activate the workflow for production.
The payloadWhat Google Sheets receives.
id"6a783c9c-f959-4a88-80cb-84580b8c788d"
format".png"
expires1766010059346
type"bar"
downloadURL"https://storage.googleapis.com/apiverve/APIData/chartgene…"