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Connect WooCommerce to PostgreSQL

Connect WooCommerce 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 WooCommerce API pipeline.

Used by the world's leading companies

Export WooCommerce data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize WooCommerce data in PostgreSQL

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

Data freshness

Keep your PostgreSQL tables up to date

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

Analysis

Unify WooCommerce with the rest of your business data

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

WooCommerce metrics and dimensions available in PostgreSQL

Access 21 metrics and 238 dimensions from WooCommerce connectors including Shop Net Sales, Shop Gross Sales, Shop Total Orders, Shop Total Customers, Shop Total Refunds, Order Date Created, Order Attribution UTM Source, Order Attribution UTM Medium, Order Attribution Device Type, Product Id and many more...

21

Metrics availables

238

Dimensions availables

Connect WooCommerce to PostgreSQL in minutes

Move your data from WooCommerce 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 WooCommerce account

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

Client A · Connected sources
5 sources ready
WooCommerce 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 WooCommerce sales performance in SQL.

This example summarizes revenue, orders, units sold, and average order value by sales channel.

WooCommerce.sql
BigQuery SQL
30-day window
SELECT
  sales_channel,
  SUM(revenue) AS revenue,
  SUM(orders) AS orders,
  SUM(units_sold) AS units_sold,
  SAFE_DIVIDE(
    SUM(revenue),
    SUM(orders)
  ) AS average_order_value
FROM `your_project.marketing_raw.woocommerce_orders`
WHERE order_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY sales_channel
ORDER BY revenue 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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Before you schedule the job.

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

What do I need to export WooCommerce data to PostgreSQL?

Register WooCommerce, save the PostgreSQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "orders".

What does a WooCommerce table in PostgreSQL contain?

Select concrete WooCommerce fields such as Shop Total Customers, Shop Total Coupons Used, Shop Total Items Purchased, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as stores, customers, and products.

How do scheduled PostgreSQL jobs keep WooCommerce data current?

The "orders" job can begin with a historical WooCommerce fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

What controls row replacement in a WooCommerce PostgreSQL table?

Select a valid date field when configuring the WooCommerce job for "orders". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

How can I model WooCommerce performance with PostgreSQL?

With WooCommerce data, a PostgreSQL query can summarize revenue, orders, units sold, and average order value by sales channel. Turn Shop Total Customers and Shop Total Coupons Used into a stable PostgreSQL view that analysts and reporting tools can query repeatedly.

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 ? 

Our teams is always here to responds to any question you could have about our data connector. 

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