Air Quality API + Google Sheets Integration

Why connect them

The Air Quality 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 build

Workflows 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

Templates

Ready-made ideas.

Scheduled hourly Fetch air quality → append row

Log hourly air quality readings

Log hourly air quality data to a spreadsheet. Record city, usEpaIndex, pm2_5, pm10, ozone, and the recommendation for trend analysis.

Scheduled daily Fetch air quality per city → update rows

Track pollutant levels for multiple cities

Fetch daily air quality for a list of cities. Update each row with pm2_5, carbonMonoxide, nitrogenDioxide, and sulfurdioxide levels.

Setup

Connect 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 Air Quality 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 pm2_5) 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/airquality 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.pm2_5 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/airquality 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.pm2_5 }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What Google Sheets receives.

pm2_516.75

pm1018.85

carbonMonoxide387.85

ozone9

nitrogenDioxide38.55

sulfurdioxide5.95

Air Quality API + Google Sheets