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Connect QuickBooks to PostgreSQL

Connect QuickBooks to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a QuickBooks API pipeline.

QuickBooks export job

First sync scheduled

QuickBooks Selected accounts

Configured job

PostgreSQL Destination table

Account QuickBooks · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export QuickBooks data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize QuickBooks data in PostgreSQL

Bring all your QuickBooks data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

QuickBooks Finance data

INcompanies PMaccounts CUcustomers BLvendors

Catchr pipeline IN PM CU Extract · normalize · load

PostgreSQL catchr_data.QuickBooks_raw

TableScopeStatus

companiesSelectedReady

accountsSelectedReady

customersSelectedReady

vendorsSelectedReady

Data freshness

Keep your PostgreSQL tables up to date

Automatically sync new data from QuickBooks so every dashboard, model, and report works with fresh information.

QuickBooksConfigured account

PostgreSQLQuickBooks Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

companies326 updated accounts102 appended Warehouse up to date

Analysis

Unify QuickBooks with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks companies · Customer Balance Finance

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

PostgreSQL model business_360 Unified

FieldFrom

customer_idCRM

Customer Balancecompanies

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

QuickBooks metrics and dimensions available in PostgreSQL

Access 15 metrics and 97 dimensions from QuickBooks connectors including Invoice Total Amount, Payment Total Amount, Customer Balance, Invoice Balance, Total Tax, Invoice Transaction Date, Payment Transaction Date, Invoice Customer Name, Document Number, Invoice Currency, Due Date and many more...

Metrics availables

Dimensions availables

View all QuickBooks Metrics metrics and dimensions

Connect QuickBooks to PostgreSQL in minutes

Move your data from QuickBooks to PostgreSQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your QuickBooks account

Authenticate your QuickBooks account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

QuickBooks 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields

Host Required

warehouse.company.net

Username Required

catchr_writer

Password Required

••••••••••••

Database Required

marketing

Step three

Keep your PostgreSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day QuickBooks invoice activity in SQL.

This example summarizes invoiced revenue, outstanding balances, and invoice volume by customer.

30-day window

SELECT
  customer_name,
  SUM(total_amount) AS total_invoiced,
  SUM(balance) AS outstanding_balance,
  COUNT(*) AS invoices
FROM `your_project.marketing_raw.quickbooks_invoices`
WHERE invoice_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY customer_name
ORDER BY total_invoiced DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into PostgreSQL.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Finance

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I create a PostgreSQL job for QuickBooks data?

Create the QuickBooks source, then register PostgreSQL with its host, database name, username, and password. Link both through a datastream and target the "vendors" table in the job.

What QuickBooks data can I preview before the PostgreSQL import?

Select concrete QuickBooks fields such as Customer Balance, Invoice Balance, Deposit, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as companies, accounts, and customers.

What happens when a scheduled QuickBooks PostgreSQL job runs?

Configure the initial QuickBooks period separately from the recurring schedule for "vendors". The source API determines how much history is available.

What is the safest update strategy for QuickBooks data in PostgreSQL?

Choose an eligible date field as the partition for QuickBooks. Catchr can then replace the matching period in "vendors"; without it, later runs append rows and may create duplicates.

Which reporting workflow can I build from QuickBooks tables in PostgreSQL?

With QuickBooks data, a PostgreSQL query can summarize invoiced revenue, outstanding balances, and invoice volume by customer. Use Customer Balance and Invoice Balance in a PostgreSQL view to create a reusable reporting layer for client analysis.

Does my PostgreSQL database need to exist before I connect it?

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Postgres database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

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100+ sources

Used by the world's leading companies

Export QuickBooks data to PostgreSQL

Centralize QuickBooks data in PostgreSQL

Keep your PostgreSQL tables up to date

Unify QuickBooks with the rest of your business data

QuickBooks metrics and dimensions available in PostgreSQL

Connect QuickBooks to PostgreSQL in minutes

Connect your QuickBooks account

Choose the PostgreSQL destination

Keep your PostgreSQL tables updated

Review 30-day QuickBooks invoice activity in SQL.

Choose what to load into PostgreSQL.

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