Connect Google Search Console to PostgreSQL
Send Google Search Console search results performance, search results performance by appearance, discover performance and 2 more report types to PostgreSQL on a schedule. Choose metrics and dimensions, filter by date and narrow it down by search results type. Refresh as often as every 15 minutes.
PostgreSQL
schema google_search_console
search_results_performancesearch_results_performance_by_appearancediscover_performancegoogle_news_performanceurls_index_performance
How to connect Google Search Console and PostgreSQL
7 steps. You can preview the Google Search Console data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 7
Connect Google Search Console
Sign in to Google Search Console and authorize Coupler.io. There's no API key to copy.
Sign in with Google Search Console
Step 2 of 7
Choose what to export
Pick the Google Search Console data you want in PostgreSQL.
Step 3 of 7
Set the report period
Choose the date range the report covers.
Step 4 of 7
Dimensions
Step 5 of 7
Fine-tune the export
Optional settings for this Google Search Console export.
Step 6 of 7
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Google Search Console data.
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Step 7 of 7
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in search_results_performance and loads fresh Google Search Console data.
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5 report types, including Search results performance, Search results performance by appearance, Discover performance, Google News performance and URLs index performance.
You sign in to Google Search Console and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date and end date to cover the period you need.
Yes. Pick from 5 dimensions.
Yes. Available filters include search results type. You can also add your own filter conditions.
Yes, if the database user has CREATE privileges. Coupler.io creates the google_search_console schema and the search_results_performance table on the first run.
Yes. Append adds new rows to search_results_performance on each run, while Replace swaps in a fresh copy. With Append, add new Google Search Console columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches PostgreSQL.
