User Agent Parser API + Google Sheets Integration

Why connect them

The User Agent Parser 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.

New row added with user agent string Parse user agent → update row with result

Parse user agents from website logs

Automatically parse each user agent added to your spreadsheet and write the browser.name, os.name, and isMobile results into adjacent columns.

New row added Parse user agent → populate device columns

Build a visitor analytics tracker

Parse user agent strings and fill in browser.name, browser.version, os.name, and engine.name columns for visitor analytics.

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 User Agent Parser 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 ua) 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/useragentparser 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.ua 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/useragentparser 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.ua }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What Google Sheets receives.

ua"Mozilla/5.0 (Windows NT 6.4) AppleWebKit/537.36.0 (KHTML,…"

browsername, version, major

enginename, version

osname, version

device

cpu

User Agent Parser API + Google Sheets