Connect Google PageSpeed Insights to PostgreSQL
Send Google PageSpeed Insights pagespeeds to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema google_pagespeed_insights
pagespeeds
How to connect Google PageSpeed Insights and PostgreSQL
4 steps. You can preview the Google PageSpeed Insights data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Google PageSpeed Insights
Enter your Google PageSpeed Insights API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Google PageSpeed Insights data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Google PageSpeed Insights data.
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Step 4 of 4
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 pagespeeds and loads fresh Google PageSpeed Insights data.
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Build your Google PageSpeed Insights integrations with these destinations
Get the most of Google PageSpeed Insights to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
1 data type, including Pagespeeds.
With your Google PageSpeed Insights API key, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the google_pagespeed_insights schema and the pagespeeds table on the first run.
Yes. Append adds new rows to pagespeeds on each run, while Replace swaps in a fresh copy. With Append, add new Google PageSpeed Insights 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.
