How to Connect Mails.so to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Mails.so

You have a Google Sheet full of email addresses — collected from a webinar sign-up, a lead magnet, a list scrape, or a CRM export that hasn't been touched in eight months. You need to know which ones will bounce before you send anything.

Mails.so is good at answering that question: it checks MX records, flags disposable domains, identifies role addresses, and scores overall deliverability. But sending those addresses through the API and getting results back into your sheet is more work than it sounds. The typical flow is: export the column to a CSV, paste it into the dashboard, wait for the batch to process, download the result file, reformat it, and VLOOKUP the statuses back into the original sheet.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste

The default. You copy the email column out of your sheet, drop it into the Mails.so dashboard or call the API from a REST client, wait for validation results, then paste the statuses back into column C by hand — matching each result to the correct row.

That works fine the first time, when you have 50 emails and a slow afternoon.

Do it with 3,000 rows and you're spending an hour just on the copy-out, the match-back, and the formatting cleanup. Do it every week before a campaign drop and you've invented a part-time job for yourself that didn't exist before. The part that grinds hardest isn't the validation — it's the row alignment. One extra row, one accidental sort, and your statuses are off by one for the rest of the sheet.

Method 2: Zapier or Make

Both platforms have Mails.so connector options. You can wire up a trigger on a new sheet row, call the Mails.so validation endpoint, and write the result back to the same row.

Before you go further — do you know what an HTTP action is? A dynamic field mapping? A filter step that branches based on an API response code? If those feel vague, this path isn't for you right now. Skip to Method 3 or 4 and come back to this when you have more automation mileage under you.

Still here? Good. The setup involves picking a trigger (new row added, or a scheduled sheet scan), authenticating to Mails.so, mapping the email field to the API input, parsing the JSON response, and writing the relevant fields back to the correct columns. The flow works. The problem is that it processes one row per trigger fire — which means validating 5,000 emails is 5,000 task executions.

A trigger-per-row automation is not the same as a bulk validation pass.

Five thousand trigger fires means five thousand entries in your task history. If row 847 gets a timeout and the rest of the rows continue, you'll have a silent gap with no indication anything went wrong.

You probably just need the clean list before Friday's send. You probably have no idea how to wire up error-handling branches in Make — and honestly, that's a reasonable place to be. So you either push this to whoever on your team builds automations, or you watch it break on row 200 while you're doing something else.

Cost compounds fast once you're running thousands of tasks on any meaningful schedule.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet ↔ Mails.so workflows was a category of add-ons that let you configure column mappings, save a template, and run it on demand. You pointed the add-on at column B, mapped the output fields to columns C and D, saved the config, and ran it when you needed fresh results.

That was a real step up from copy-paste. The output was consistent, the template was reusable, and you didn't have to redo field alignment every time.

But you were still responsible for the template design, the mapping, the filter logic about which rows to include, and the decision about what to write back. The tool got the data through, but the thinking was still on you. And the moment someone added a new column before column B and shifted everything over, your config was wrong until someone went back in and fixed it.

This is the previous generation. It worked. But it asked a lot of the operator.

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 Mails.so integration it can validate your email list and write results back for you. No template configuration, no automation plumbing, no re-aligning rows. You just ask.

Example 1: Pre-campaign validation pass

Validate every email in column B using Mails.so and write the result — valid, invalid, or risky — into column C for each row. Skip any rows where column B is empty.

SheetXAI reads column B, calls the Mails.so validation endpoint for each address, and writes the status string back into column C. Empty rows get skipped. The result lands in the same row as the input.

Example 2: Multi-field enrichment for suppression logic

For each email in column B, validate with Mails.so and write the overall status into column C and the mx_found value into column D. Flag column E with SUPPRESS if the status is invalid or risky.

The pattern: instead of getting the validation result and then deciding what to suppress, you ask for both in one prompt. SheetXAI handles the conditional logic inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of email addresses, then ask it to validate the column and write the results back. The Mails.so integration is included in every SheetXAI plan.