Why connect themThe Markdown to Image 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.
New row added in Google Sheets Convert markdown column to image → write downloadURL back to the rowGenerate Images from Sheet Rows
When markdown content is added to a row, generate an image and store the downloadURL in the sheet.
Scheduled periodic trigger Read markdown rows from Google Sheets → generate images → update rows with downloadURL and dimensionsBulk Social Card Generator
Process pending markdown entries in bulk and populate each row with the generated image downloadURL and dimensions.
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 Markdown to Image 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 imageName) 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/markdowntoimage 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.imageName 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/markdowntoimage 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.imageName }}.
- 4
Execute & activate. Execute manually to verify, then activate the workflow for production.
The payloadWhat Google Sheets receives.
imageName"31e86a48-125a-464a-8ea5-8b342226944f.png"
format".png"
downloadURL"https://storage.googleapis.com/apiverve/APIData/markdownt…"
expires1766010365188
markdownLength282
htmlLength376