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

The Problem With Getting Sheet Data In and Out of Payhere

You have a Google Sheet full of data — product tiers with prices and billing intervals, a customer list you need to upload for a campaign, subscription statuses you want to cross-reference with invoices. Getting any of it into Payhere, or getting Payhere's data back out, is more work than it should be.

Payhere is good at collecting one-off and recurring payments without requiring a full e-commerce stack. But it doesn't speak spreadsheet. The default move is to export a CSV from the Payhere dashboard, open it, clean out the columns you don't need, reformat the dates, and paste the result into your sheet — and that's just the read direction. Going the other way, from a sheet into Payhere to create or update plans, means copying values one by one through the Payhere UI.

Below are the four ways teams handle this. Only the last one actually removes the friction.

Method 1: Manual Copy-Paste

The starting point. You open the Payhere dashboard, navigate to Payments or Subscriptions or Plans, export a CSV if the option exists, or just copy rows by eye. You drop the data into your sheet, fix the date format, delete columns you didn't want, rename headers to match your schema, and you're done.

For a one-time tax prep pull or a quick audit, this is tolerable.

But Payhere accounts with regular payment volume generate new transactions every day. Running this process weekly means you're spending 20 minutes each time on the same sequence of clicks and pastes — for data that was always there, waiting, in Payhere's API. The cognitive cost compounds: which export settings did you use last time? Did you include refunds? Did you filter by date or pull everything? Every run requires the same low-value decisions.

Method 2: Zapier or Make

Both platforms support Payhere. You can trigger a workflow on a new payment, pull plan data on a schedule, or write subscription changes back to a sheet column.

Before going further — do you know what a webhook trigger is? A Zap step? How to authenticate with an API connector, map fields, and debug a 422 response? If those aren't familiar, this path will take longer than you're expecting. Method 3 or 4 will get you further faster.

If you're still here: the setup is achievable. You pick a trigger (new payment received, subscription status changed), map the fields to sheet columns, and deploy. It runs without you.

The catch is volume. A trigger-per-row automation is not the same as a bulk export.

If you want to pull 340 historical payments into a sheet in one go, a trigger-based Zap won't help — triggers fire on new events, not on historical records. You'd need a scheduled workflow that pages through the Payhere API and writes each result, one row at a time.

You probably just need the payment history in a sheet and have no idea how to page through an API — and you shouldn't have to. So you ask whoever on your team builds these things, they put it in the queue, and you're waiting three days for a tool that still won't handle the edge cases your sheet has.

Once you add filtering by status, or joining payment data against a customer tab, you've left the automation's native scope entirely.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the closest thing to a spreadsheet-native Payhere tool was a category of add-ons that let you configure column mappings, save import templates, and run them on demand. You picked your range, tagged your Payhere fields, saved the config, hit run.

That was a real improvement over copy-paste. Configs were repeatable, the output format was consistent, and the team didn't have to rebuild the mapping every time.

But the thinking was still yours. Which plans to include, which subscription statuses to filter, which columns needed renaming to match your schema — all of that lived in your head and had to be re-expressed as configuration. When a column changed names in your sheet, the config broke until someone went back and fixed it.

This is the previous generation. It worked, but it demanded a lot of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different approach. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands the structure you're working with, and through its built-in Payhere integration it can pull payment history, export subscriptions, create plans, or update pricing — directly, from a plain-language prompt. No template setup, no field mapping config, no CSV cleanup.

Example 1: Import all Payhere payments for the past year

List all Payhere payments from the last 12 months and import them into this sheet with columns for payment date in column A, customer name in column B, amount in column C, currency in column D, and plan name in column E

SheetXAI calls the Payhere API, pages through the full result set, and writes each row into your sheet. Dates arrive formatted, amounts are numeric, and the columns match what you asked for.

Example 2: Create a batch of new plans from a product list

Create a Payhere payment plan for each row in the Plans tab — use column A for the plan name, column B for the price, column C for the billing interval (monthly or yearly), and column D for the description

The pattern: instead of navigating the Payhere UI twelve times, you describe the operation in one sentence. SheetXAI reads the tab and executes each creation in sequence.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with Payhere data to reconcile or a product list to push — then ask it to do one of the tasks above. The Payhere integration is included in every SheetXAI plan.