Connect your data to Claude in 1 minute. No code needed Try it now

Connect Stripe to PostgreSQL

Send Stripe invoices, customers, subscriptions and 27 more data types to PostgreSQL on a schedule. Filter by date and narrow it down by status or balance transaction type. Refresh as often as every 15 minutes.

capterra
star star star star star

4.9/5

PostgreSQL schema stripe
  • invoices
  • customers
  • subscriptions
  • charges
  • products
  • 25 more data types
Each Stripe data type lands in its own table. You pick the schema and table names.
Trusted by 200K+ users worldwide
Tradezella
Stanford
Webtoon
Getir
Stellar
Anker
ParentSquare
Bac 50
Benzinga
Matterport

How to connect Stripe and PostgreSQL

6 steps. You can preview the Stripe data in Coupler.io before anything reaches PostgreSQL.

Step 1 of 6

Connect Stripe

Sign in to Stripe and authorize Coupler.io. There's no API key to copy.

Sign in with Stripe

Step 2 of 6

Choose what to export

Pick the Stripe data you want in PostgreSQL.

Show 22 more data types Show fewer data types

Step 3 of 6

Fine-tune the export

Optional settings for this Stripe export.

Created after dateAny dateSpecify the data entity creation date to export data added after this date (e.g. after 2020-01-01 09:00).
Created before dateAny dateSpecify the data entity creation date to export data added before this date (e.g. before 2020-01-01 09:00).
StatusNot set
Balance transaction typeNot setSpecify the type of transactions to pull from Stripe.
Show 1 more field Show fewer fields
Event typeNot setSpecify the event name (or group of events using * as a wildcard)

Step 4 of 6

Narrow it down

Filter Stripe records before they reach PostgreSQL.

Advanced filtersNot set

Step 5 of 6

Connect PostgreSQL

Enter your PostgreSQL connection details, then the schema and table for the Stripe data.

Hostdb.example.comHostname, IPv4, or IPv6 address of the server
Port5432Default is 5432
DatabaseanalyticsThe target database name
TableinvoicesCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
SchemastripeCreated automatically if it doesn't exist

Step 6 of 6

Choose a write mode and schedule

Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in invoices and loads fresh Stripe data.

Get the most of Stripe to PostgreSQL integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
Understand data icon

Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
Act on data icon

Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Stripe to PostgreSQL questions

30 data types, including Invoices, Customers, Subscriptions, Charges and Products.

You sign in to Stripe and authorize Coupler.io. There's no API key to copy.

Yes. Filter by created date to load the period you need.

Yes. Available filters include status, balance transaction type and event type. You can also add your own filter conditions.

Yes, if the database user has CREATE privileges. Coupler.io creates the stripe schema and the invoices table on the first run.

Yes. Append adds new rows to invoices on each run, while Replace swaps in a fresh copy. With Append, add new Stripe columns to the table yourself before the next run.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example QuickBooks or Xero, and join or append them before the data reaches PostgreSQL.

High five for scrolling till the very end!
See you in the app!