How to Connect Tomba to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Tomba

You have a Google Sheet full of data — target company domains, inbound lead emails, trade-show contacts, or prospecting lists scraped from LinkedIn. Tomba is where the email intelligence lives. But moving data back and forth between the two means a lot of time in menus that weren't designed to talk to each other.

Tomba is good at finding, verifying, and organizing professional email addresses at scale. But the gap between your spreadsheet and Tomba's database is filled entirely with manual steps. The usual flow is: export from one place, reformat the columns, import into the other, check for errors, fix the mismatches, and repeat next week when the data changes.

Below are the four common ways teams bridge that gap. Only the last one scales.

Method 1: Manual Copy-Paste

Open Tomba, run a domain search, copy the returned emails, switch to your Google Sheet, find the right row, paste. Then do it again for the next domain. And the one after that.

For a one-off lookup on three companies, this is fine. You're in and out in a few minutes.

But 300 domains? That's not a few minutes. Each lookup is its own round-trip — open the tool, type the domain, wait, copy, switch tabs, find the row, paste, come back. By domain 40 you've lost your place twice and introduced at least one misaligned paste. By domain 100 you're questioning the decision-making process that got you here.

The output is also inconsistent. Column B might have three emails, column C one, column D none — depending on how carefully you matched the paste to the result. The data is technically in the sheet, but it's not clean enough to act on without another pass.

Method 2: Zapier or Make

Both platforms have Tomba connector options. You can wire up a trigger on a sheet row update, call the Tomba API, and write the result back into specified columns automatically.

Before describing what setup involves: do you know what an API connector is? A trigger event? Field mapping in a workflow tool? Authentication via API key versus OAuth? If those terms feel foreign right now, this path will grind you to a halt. Scroll down to Method 3 or 4 — you'll save yourself an afternoon.

For those still reading: the flow is legitimate. You configure the sheet trigger, authenticate to Tomba, map the domain field to the lookup endpoint, and map the response fields back to your target columns.

The problem is scope.

A row-by-row trigger means one Zap fire per domain. If you're enriching 300 rows, that's 300 separate API calls, 300 trigger events, and a Zap history that becomes useless to debug when row 147 comes back empty and the rest silently move on.

You probably just need a clean column of verified emails. You probably have no idea how to set up field mapping across a multi-step Zap — and you shouldn't need to. So you ask whoever on your team builds automations. And then you're sitting in Slack waiting, hoping they have a slot this week.

Once you need to filter by domain type, deduplicate results, or join against a second sheet, you've exceeded what a row-trigger automation was designed to do.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the closest option for repeatable spreadsheet-to-Tomba workflows was a category of add-ons that let you configure column mappings, save templates, and run batch lookups on demand. You selected your range, mapped your fields, saved the config, hit run.

That was a meaningful step up from copy-paste. Configs were reusable, output was consistent, and you didn't have to rebuild the process from scratch each time.

But you were still responsible for deciding which columns to map, how to handle empty results, what to do when a domain returned three addresses instead of one. The tool moved the data — the judgment about what to do with it stayed on you. And any time your sheet structure shifted — a new column, a renamed header — your saved config broke until someone went back in and repaired it.

This was the previous generation. It worked, but the human overhead was real.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you're looking at, and through its built-in Tomba integration it can look up email addresses, validate domains, create leads, and pull data back from Tomba — for you. No template configuration, no automation glue. You just ask.

Example 1: Enrich a domain list with verified emails

Look up the top 3 professional email addresses for every domain in column A and write the results into columns B, C, and D. Skip any rows where column A is blank.

SheetXAI calls Tomba for each domain, parses the returned addresses, and writes them into the correct columns — one row at a time, at scale, without you touching a single cell manually.

Example 2: Create leads from a trade-show contact list

Create a Tomba lead for every row in my sheet using the first name in column A, last name in column B, and email in column C, then write the returned lead ID into column D.

The pattern: instead of exporting contacts and reimporting them through Tomba's UI, you ask for the whole operation in one prompt. SheetXAI handles the row iteration, the API calls, and the writeback.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with company domains or contact data, then ask it to do one of the tasks above. The Tomba integration is included in every SheetXAI plan.