Mailtrap + Google Sheets: Pull Email Stats, Contacts, and Suppression Data

The Problem with Getting Mailtrap Data Into Your Sheet

Mailtrap sits at the center of your transactional email stack. It holds your contact lists, your suppression data, your sandbox test messages, your sending stats, and your template library. All of it is actionable, but none of it is in your spreadsheet.

That matters because the work that actually moves the needle, cleaning lists before a campaign, identifying the domain driving your bounce rate spike, auditing sandbox inboxes before a production cutover, happens in a spreadsheet. You need the data in one place to do the analysis. But pulling Mailtrap data into Google Sheets by hand is slow, brittle, and nobody on your team enjoys it.

Below are the four ways people typically get Mailtrap data into a Google Sheet. Only the last one scales.

Method 1: Export and Paste Manually

The default path for most teams. You log into Mailtrap, find the report or list you need, export it as a CSV if the export option exists, download the file, open it, copy the relevant columns, and paste them into the sheet. For data that does not have an export button, you write down what you see on screen.

When this works:

• One-time pulls where you need a quick number
• Small contact lists you can scan visually
• Reports where the CSV export maps cleanly to your sheet layout

When it breaks:

• Stats you need weekly or monthly (you redo the whole sequence every time)
• Cross-referencing two data sets, like suppressed emails against your active subscriber list
• Anything involving multiple Mailtrap entities, like pulling messages from three sandbox inboxes at once
• Data that Mailtrap does not export as CSV, like project and inbox inventories

The core problem is the effort does not decrease with repetition. Every Monday you want this week's delivery stats, you do the same twelve-step sequence. By the third week, you stop checking.

Method 2: Use Zapier or Make to Sync Mailtrap Events to Sheets

The next step up is automation. You wire up a Zap or a Make scenario that watches for Mailtrap events and writes rows to Google Sheets when they happen.

This works for event-driven moments:

• New contact added to a list → append a row
• Email bounced → log the address
• Email opened → record the timestamp

This fails for batch or analytical work:

• Pulling a month of sending stats grouped by date
• Cross-referencing a suppression list against an existing subscriber column
• Exporting an entire contact list filtered by subscription status
• Summarizing ESP-level delivery rates across multiple providers

Event-driven tools fire one record at a time. They do not aggregate. They do not pull historical ranges. They do not run async export jobs and wait for them to finish. You can trigger a Zap when a bounce happens, but you cannot use one to say "give me all the bounces from April grouped by domain."

Method 3: The Previous Generation, Mailtrap Connector Add-Ons

Until recently, the best option for repeatable Mailtrap to spreadsheet workflows was a category of data connector add-ons that let you configure a scheduled sync between a Mailtrap endpoint and a Google Sheet. You picked your endpoint, you mapped the fields, you set a refresh schedule, and the add-on did the rest.

That was a real step up from manual export-and-paste. The data showed up in the sheet on a schedule and your team stopped doing the twelve-step sequence every Monday.

But you were still responsible for knowing which Mailtrap endpoints you needed, what the field names were, how to handle pagination, and how to set up the cross-reference logic yourself after the data landed. The add-on got the data in. The analytical work was still entirely on you. And when Mailtrap updated an endpoint or changed a field name, your sync broke silently until someone noticed the sheet had not refreshed.

This is the category we think of as 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 are working on, and through its built-in Mailtrap integration it can pull stats, export contact lists, cross-reference suppressed addresses, audit sandbox inboxes, and create templates, all from a single prompt. No field mapping, no sync configuration, no connector maintenance, you just ask.

Example 1: Your Data Is Already in the Sheet

You have a subscriber list in column A that you are about to send a campaign to. Before you hit send, you want to know which addresses are suppressed in Mailtrap.

Fetch all suppressed emails from Mailtrap and cross-reference them against the addresses in column A. Mark any matches in column B as "SUPPRESSED — REMOVE" so I can clean the list before the next send.

SheetXAI calls the Mailtrap suppression endpoint, reads column A, finds the overlaps, and writes the flags. The list is clean before the campaign goes out.

Example 2: Your Data Lives in Mailtrap, Not the Sheet

You need the last 30 days of sending stats for a monthly operations report. Nothing is in the sheet yet.

Fetch Mailtrap sending statistics for the last 30 days grouped by date. Write each day's delivery rate, open rate, bounce rate, and spam rate into columns A through E. Then write a summary paragraph in cell G1 identifying the three dates with the worst delivery rate and what the bounce numbers looked like on those days.

SheetXAI pulls the stats, populates the table, and writes the summary. One prompt, end to end. The report is ready without opening Mailtrap's dashboard once.

Which Method Should You Use

For a one-time pull where you just need a quick number, the manual export path is fine. For logging individual events like bounces or opens as they happen, Zapier or Make are a reasonable fit.

For any work that involves aggregating data across a date range, cross-referencing two lists, running an async export job, or pulling from multiple Mailtrap entities at once, SheetXAI is the only option that handles it in one prompt without configuration.

If you pull Mailtrap data into a sheet more than once a month, the time saved on the second run pays back the setup of the first.

Try It

Get the 7-day free trial of SheetXAI and open any sheet where you work with email data, then ask it to pull from Mailtrap. The Mailtrap integration is included in every plan.

For specific workflows, see how to audit your Mailtrap suppression list in Google Sheets, how to pull ESP-level delivery stats by provider, or browse the full integrations directory.