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Connect Google Merchant Center to MySQL

Connect Google Merchant Center 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 Google Merchant Center API pipeline.

Used by the world's leading companies

Export Google Merchant Center data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Google Merchant Center data in MySQL

Bring all your Google Merchant Center 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 Google Merchant Center so every dashboard, model, and report works with fresh information.

Analysis

Unify Google Merchant Center with the rest of your business data

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

Google Merchant Center metrics and dimensions available in MySQL

Access 28 metrics and 90 dimensions from Google Merchant Center connectors including Clicks, Impressions, CTR, Conversions, Conversion Value, Conversion Rate, Date, Product Title, Product ID, Product Brand Name, Product Category L1, Product Channel, Product Destination Status, Product Availability and many more...

28

Metrics availables

90

Dimensions availables

Connect Google Merchant Center to MySQL in minutes

Move your data from Google Merchant Center 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 Google Merchant Center account

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

Client A · Connected sources
5 sources ready
Google Merchant Center 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 Google Merchant Center product visibility in SQL.

This example summarizes product impressions, clicks, conversions, and click-through rate.

Google Merchant Center.sql
BigQuery SQL
30-day window
SELECT
  product_id,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SUM(conversions) AS conversions,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.google_merchant_center_products_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY product_id
ORDER BY clicks DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Google Merchant Center 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.

Which steps connect Google Merchant Center with a MySQL destination?

Register Google Merchant Center, save the MySQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "accounts".

What schema can I build from Google Merchant Center data in MySQL?

Select concrete Google Merchant Center fields such as Average Orders Sales, Average Orders Value, Clicks, and Account Status - Account Level Issue Country. You can rename the chosen columns, preview the result, and write them to MySQL tables such as accounts, products, and product groups.

How are Google Merchant Center history and recurring MySQL loads scheduled?

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

How does Catchr update existing Google Merchant Center records in MySQL?

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

Which dashboards can use Google Merchant Center data stored in MySQL?

With Google Merchant Center data, a MySQL query can summarize product impressions, clicks, conversions, and click-through rate. Turn Average Orders Sales and Average Orders Value 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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