Connect Google Search Console to PostgreSQL

Windsor.ai syncs your Google Search Console data into PostgreSQL on a schedule, no code required. Date, query, page, clicks, impressions, ctr and position are written to a single table, ready for SQL.

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Windsor.ai is your proven Google Search Console to PostgreSQL connector

Centralize your SEO metrics with Google Search Console to PostgreSQL integration

Windsor.ai connects Google Search Console to PostgreSQL, giving you a queryable copy of your SEO data. Here’s what you get:

Automated data sync

Windsor.ai syncs Google Search Console data into PostgreSQL on a schedule you set. In our test, a 7 day backfill request loaded 69,406 rows in a few minutes, with no manual exports or scripts.

Cross-channel visibility

By centralizing GSC data in PostgreSQL, you can join it with paid search, web analytics, CRM, and 350+ other sources. Map organic performance against campaigns, user behavior, and conversions in a single query.

Scalable and secure data storage

PostgreSQL scales well past what a spreadsheet can hold. Our test table held 69,406 rows from a single backfill; a full year of daily GSC data loads in the same shape, ready for indexing and joins.

Using Windsor.ai connector to import data from Google Search Console into PostgreSQL

Supported fields: 10 metrics43 dimensions

Windsor.ai’s PostgreSQL destination creates the table for you and writes to it on a schedule. In our test it built a 7 column table (date, query, page, clicks, impressions, ctr, position) and loaded 69,406 rows without any manual SQL.

Once it’s running, the data sits in a plain PostgreSQL table: query it directly, join it against your other tables, or point a BI tool at it. For example, grouping by page and summing clicks returns one row per URL with its total clicks, impressions and average position, the same breakdown Search Console’s own Pages report shows, just queryable with SQL and joinable against other tables.

Row count query confirming 69,406 Search Console rows loaded into the PostgreSQL table

With Windsor.ai, you can:

Automatically sync Google Search Console data into PostgreSQL on a schedule, no manual exports.
Keep historical GSC data beyond Google’s own retention window, so trends don’t disappear.
Query organic search data directly with SQL, joined against your other tables.
Combine GSC with 350+ other sources in the same database for a full marketing picture.

Join over 25,000+ businesses that trust Windsor.ai to streamline Google Search Console to Postgresql integration

How to connect Google Search Console to PostgreSQL in Windsor.ai

To set up the connector, make sure you have the following things in place:

Google Search Console account
Configured PostgreSQL environment
Active Windsor.ai account

Register and log in to Windsor.ai

Create a new Windsor.ai account or log in if you already have one.

Connect a data source

In your Windsor.ai dashboard, go to Google Search Console under Connect a data source, sign in with the Google account that owns the property, and select the fields to pull (date, query, page, clicks, impressions, ctr, position for this test). Click “Next.”

Select PostgreSQL as your data destination

Complete the integration of PostgreSQL with the Windsor.ai connector and create a destination task.

integrate data into postgresql with windsor.ai

Configure your data integration

Enter your PostgreSQL host, port, user, password, database and a table name, then allow Windsor’s IP address (168.119.226.193) to reach your database. Click “Test connection”, then “Save”.

Windsor.ai PostgreSQL destination setup form showing host, port, database and table name fields with a successful connection confirmation

See the integrated data in PostgreSQL

Query your data directly in PostgreSQL, for example with a simple SELECT ordered by clicks. Any SQL client works, we used the database’s own SQL editor; TablePlus, psql and your BI tool’s native connector all read the same table.

SQL query in Neon's editor selecting the top 10 Search Console pages by clicks from the synced PostgreSQL table

FAQs

What fields does Windsor pull from Google Search Console into PostgreSQL?

By default, Windsor’s Search Console connector loads date, query, page, clicks, impressions, ctr and position, which is what we tested end to end into a real PostgreSQL table. You can add more fields from the connector’s field picker, including device, country, and branded vs. non branded, before you create the destination task.

Does Windsor create the table for me?

Yes. You only name the table, for example gsc_data; Windsor infers the column types from the fields you selected and creates the table on the first run. In our test it created a 7 column table matching the 7 GSC fields we’d picked, with no manual DDL.

Do you have helpful links to get started with integrating Google Search Console and PostgreSQL using Windsor.ai?

Yes, we have helpful resources to get started: the Google Search Console field reference and the PostgreSQL integration documentation.

How much time do I need to set up Google Search Console to PostgreSQL integration?

If you already have a PostgreSQL database running, connecting it to Windsor.ai and starting the first sync takes under 5 minutes: no engineering work required.

How much does it cost to integrate Google Search Console into PostgreSQL with Windsor.ai?

Windsor.ai’s pricing for Google Search Console into PostgreSQL integration can vary depending on your use case. We offer transparent, fixed pricing plans for diversified business needs and budgets, starting at just $19/month, with a free forever plan available and no credit card required.

How much data can I load, and how fast?

In our test, a 7 day backfill request returned 69,406 rows from a mid-traffic property. Search Console only had 4 of those 7 days published yet (it runs 2 to 3 days behind), so all 69,406 rows were loaded from that 4 day window, in a few minutes on the free Windsor plan. Larger backfills (months or years) are available on paid plans.

What do I need to allow Windsor to reach my PostgreSQL database?

Most managed PostgreSQL providers block external connections by default. Allow Windsor’s IP address, 168.119.226.193, in your database’s firewall or network rules before running the destination task, or the connection test will fail.

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