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Connect WooCommerce to MySQL

Connect WooCommerce to MySQL and export selected accounts, metrics, and dimensions to your MySQL 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 MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize WooCommerce data in MySQL

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

Data freshness

Keep your MySQL 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 MySQL

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 MySQL in minutes

Move your data from WooCommerce to MySQL 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

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

Connect more table to your WooCommerce data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

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

What do I need to export WooCommerce data to MySQL?

Register WooCommerce, save the MySQL 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 MySQL 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 MySQL tables such as stores, customers, and products.

How do scheduled MySQL 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 MySQL 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 MySQL?

With WooCommerce data, a MySQL 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 MySQL view that analysts and reporting tools can query repeatedly.

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

Yes. Connect an existing MySQL 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 MySQL 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. 

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

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