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Postmark · Google Sheets Guide

Pull a Postmark Bounce Report Into Google Sheets for List Cleaning

2026-05-13
4 min read
See the Excel version →

The Scenario

You are an email developer. The quarterly list hygiene review is due Friday. Your team sends transactional email to roughly 12,000 addresses and nobody has pulled a systematic bounce report in three months.

The deliverability numbers have been slipping. The infrastructure lead suspects there are hard-bounced addresses still sitting in the production database that keep getting re-queued. You need a Google Sheet with every hard bounce from the past 30 days — email, bounce type, reason, and timestamp — so the database team can run a scrub before the next major send.

The slow version:

  • Log into the Postmark dashboard
  • Navigate to the bounce report, set the date range, export the CSV
  • Open the CSV, remove the columns you do not need, rename the headers to match what the database team expects
  • Paste it into the hygiene sheet
  • Realize the date range cut off two days early, re-export
  • Forty minutes of reconciliation before you even start the actual scrub.

The fast version is one prompt.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your spreadsheet that calls the Postmark bounce API and writes the results directly into the sheet, so you do not have to touch the dashboard or reformat a CSV.

Open the SheetXAI sidebar and type:

Fetch all hard bounces from Postmark for the past 30 days and write bounced email, bounce type, description, and bounced-at timestamp into columns A through D of the 'Bounce Report' sheet. Include a header row.

SheetXAI calls the Postmark bounce endpoint, paginates through all results, and writes them into the sheet with headers. The database team gets a clean file with the exact columns they need.

What You Get

A structured bounce report in the 'Bounce Report' sheet:

  • Column A — bounced email address
  • Column B — bounce type (HardBounce, SoftBounce, SpamComplaint, etc.)
  • Column C — Postmark's bounce description
  • Column D — timestamp of the bounce event

Every hard bounce from the period, not a sample. Postmark's API paginates at 500 results per page; SheetXAI handles the pagination automatically so you get the full set.

Want soft bounces included too? Tell SheetXAI to pull all bounce types and add a filter column so the database team can see which rows are hard versus soft at a glance.

What If the Data Is Not Quite Ready

Bounce data from Postmark is usually clean, but the work around it is not.

When you need to cross-reference against a CRM contacts tab

The database team wants to know which of the bounced addresses are currently in the active contacts table, not just a raw list.

Fetch all hard bounces from Postmark for the past 30 days and write them into the 'Bounce Report' sheet with email, type, and timestamp. Then cross-reference column A against the email column in the 'Active Contacts' sheet and write 'ACTIVE' or 'NOT IN CRM' in column E for each bounced address.

When the report needs to group by bounce type

The infrastructure lead wants a summary count per bounce type at the top of the sheet, not just the raw rows.

Fetch all Postmark bounces for the past 30 days and write the detail rows into the 'Bounce Report' sheet starting at row 5. In rows 1 through 3, write a summary table showing each bounce type and its count for the period.

When you only want the last 60 days but split by month

The compliance team wants two separate tabs, one for April and one for May.

Fetch all Postmark hard bounces for the past 60 days. Write April bounces into the 'April Bounces' sheet (columns A–D with headers) and May bounces into the 'May Bounces' sheet in the same format.

When you need the full cleanup pipeline — pull, cross-reference, flag, and format in one shot

The database team is on a deadline and needs the file ready to import directly.

Fetch all Postmark hard bounces for the past 30 days. Write email, bounce type, and timestamp into columns A, B, and C of the 'Bounce Report' sheet. Cross-reference column A against the 'Active Contacts' sheet and write 'REMOVE' in column D for any active address that bounced. Sort the final table so REMOVE rows appear at the top. Add a header row.

The pattern: instead of pulling the data first and then doing the analysis separately, you ask for both in one prompt. The cross-reference and the sort happen inline.

Try It

Get the 7-day free trial of SheetXAI and ask it to pull a Postmark bounce report into any sheet you have open. The Postmark integration is included in every SheetXAI plan. For related workflows, see how to manage Postmark suppression lists from a sheet or the Postmark in Google Sheets overview.

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