Connect Stripe to Google Sheets
Pull your Stripe data — customers, invoices, subscriptions, charges and more — into a sheet or database to track revenue, MRR and churn without a BI tool.
What you can pull from Stripe
Stripe exposes 8 objects you can pull, each as its own job. Every run pulls the records into a flat table, so nested fields arrive as ordinary columns that Google Sheets can sort, filter and total without further work.
Customers
The customer list with metadata.
Subscriptions
Plans, status and interval - the raw material for MRR.
Invoices
Billing history and outstanding amounts.
Charges
Individual payments and their status.
Payment intents
Attempts, including the ones that failed.
Balance transactions
What actually hit your balance, with fees.
Products
Your catalogue.
Prices
Price points against those products.
Options you can set
- resource
- Which Stripe object to fetch — defaults to
customers - created_after
- Only objects created at or after this time
- created_before
- Only objects created at or before this time
How it lands in Google Sheets
Google Sheets accepts append and overwrite writes. Overwrite replaces the target range, which suits a snapshot; append adds rows underneath, which suits a log you are accumulating. There is no upsert here, so rows are added or replaced rather than merged.
- Append adds rows below existing content; overwrite replaces the target range.
- No upsert: a spreadsheet has no primary key, so there is nothing to merge on. Use Airtable or Postgres if rows must be updated in place.
- Google caps a spreadsheet at 10 million cells across all tabs. Filter before writing rather than after.
Authentication
Stripe authenticates with an API key held as a stored connection, so it never appears in a spreadsheet cell, a formula, or a shared copy of a sheet.
Keeping runs incremental
Yes. Filter with created_after and created_before so a run fetches a window rather than your whole history.
Because Google Sheets has no upsert, decide what a re-run should mean before you schedule it. Overwrite keeps a current snapshot; append accumulates history and will grow without bound.
A worked example
A finance tab that is current every morning
Pull charges from the last 90 days with overwrite, so the tab is always a rolling window rather than an ever-growing log. Overwrite is the right mode here precisely because Sheets cannot upsert.
Schedule: 0 6 * * * — read it back in plain English
Limits and pacing
These are the provider-side ceilings that shape a schedule, not ours. Knowing them up front is the difference between a job that runs quietly every morning and one that starts failing the week your data grows.
| Limit | Value | Applies to |
|---|---|---|
| Page size Stripe's own maximum per request. | 100 records | Stripe |
Common gotchas
Most of what goes wrong with a scheduled sync is not a bug — it is a detail of how one side behaves that nobody wrote down. These are the ones that come up for this pair.
Amounts are in the smallest currency unit
A value of 5000 on a USD object is $50.00, not $5,000. Divide by 100 in a computed field, or you will present a number a hundred times too large.
Annual plans are not monthly revenue
A yearly subscription at $1,200 is $100 of MRR. If you have mixed billing intervals, normalise before summing.
An open-ended range beats a padded one
Writing to A2:D is better than A2:D1000 for appends: the padded form reserves rows you may not need and makes the append boundary ambiguous.
Set it up in four steps
- 1
Connect Stripe
A Stripe API key. A restricted read-only key is enough - this never writes.
- 2
Connect Google Sheets
Connect your Google account once. Paste a spreadsheet URL or ID.
- 3
Shape the data
Select the columns you want, filter rows, cast types and add computed fields. Everything else is dropped before it reaches the destination.
- 4
Schedule it
Run once, or on a cron. Every run refreshes Google Sheets with the latest Stripe data.
Do I need an add-on or extension for this?
No. The job runs server-side and writes into Google Sheets through its API, so there is nothing installed in the spreadsheet itself. It keeps running when nobody has the file open, and a copy of the file does not need anything installed to work.
How often does the data refresh?
On whatever schedule you set with a cron expression — hourly, daily, or a specific time on specific days. Each run pulls the latest from Stripe.
Do I need to write any code?
No. You connect both sides, map the fields in a wizard and set a schedule. Computed fields accept small expressions — abs, round, min, max, len — but there is nothing to host or maintain.
Does this need write access to Stripe?
No. A restricted read-only API key is enough - the connector only ever reads.
Why are the amounts wrong by a factor of 100?
They are not wrong, they are in the smallest currency unit: 5000 means $50.00. Divide by 100 in a computed field before it reaches a currency column.
Do I have to give access to my whole Google Drive?
No. Only the spreadsheets scope is requested. The Drive scope that most spreadsheet tools ask for is a restricted scope granting read access to every file you own; it is deliberately not requested here, which is why you paste a spreadsheet URL rather than browsing Drive.
Will this keep working if I copy the sheet?
The job writes to a specific spreadsheet ID, so a copy will not receive data until you point a job at it. Nothing is installed in the file itself, though, so copying never breaks the original.
Is the Stripe connector free to use?
You can connect Stripe and start syncing on the free plan.
Other sources into Google Sheets
Related reading
Airtable upsert: stop creating duplicate records
Appending on every run turns a tidy base into six copies of every row. Here is how upsert works in Airtable, and how to choose a merge key that holds up.
Export Stripe data to Google Sheets
Stripe's dashboard exports are manual and stale the moment you download them. Here is how to keep customers, invoices and charges fresh in a sheet instead.
Import a CSV from a URL into Airtable
Point a job at a CSV link and it re-reads it on your schedule — no download, no manual import. Here is the setup, and the field-type trap to avoid first.