Connect Google PageSpeed Insights to BigQuery

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Why this connection

Why Export Google PageSpeed Insights to Google BigQuery?

Exporting Google PageSpeed Insights data to BigQuery with Adzviser lets you run powerful SQL queries on your page speed data at scale. Analyze Core Web Vitals—LCP, INP, CLS, FCP, and TTFB—alongside Lighthouse Performance, SEO, Accessibility, and Best Practices scores for any URL across desktop and mobile in Google Cloud's analytics ecosystem.

What you can do

Core Web Vitals Monitoring

Query LCP, INP, CLS, FCP, and TTFB along with their assessments in SQL to track how real users experience your page

Desktop vs Mobile

Join Lighthouse scores and Core Web Vitals across device types in BigQuery to catch mobile-specific slowdowns

SEO & Accessibility

Warehouse SEO, Accessibility, and Best Practices scores in BigQuery to keep your pages discoverable and usable

Fix Prioritization

Use SQL to rank the highest-impact improvements to lift your Performance score across every page you track

Reporting coverage

Google PageSpeed Insights reporting coverage for Google BigQuery

14supported metrics

7supported breakdowns

Complete field catalogBrowse all metrics & breakdowns

Setup guide

How to Connect Google PageSpeed Insights to Google BigQuery

Set up your Google PageSpeed Insights to Google BigQuery integration in minutes with Adzviser's no-code connector.

Sign Up for Adzviser

Create an Adzviser account or log in if you already have one. Google PageSpeed Insights is free for every subscriber.

Pick a URL

Enter the web page URL you want to analyze on desktop or mobile. There's no account to connect—just point Adzviser at the page.

Choose BigQuery as Your Destination

Select BigQuery as your destination and export your page speed data into a table for SQL analysis. View available metrics and breakdowns for Google PageSpeed Insights →

Export to BigQuery

Your page speed data now lives in BigQuery. Run SQL queries across Core Web Vitals and Lighthouse scores at scale.

Trusted by Agencies, Freelancers, and Founders

See how data teams are using Adzviser to analyze their Google PageSpeed Insights data in BigQuery.

Ryan Whiteside

Adzviser is the Supermetrics replacement we've been looking for. Adzviser delivers the same essential functionality at a much better price point, with far superior customer support. The added bonus of a ChatGPT connector allows for seamless data analysis in a way that enhances workflow efficiency.

Digital Marketing DirectorTwo Wheels Marketing

Jared Laidlaw

I appreciate Adzviser's per-client workspace setup, which simplifies organizing data sources compared to setting them up via channels. The customer support is excellent and responsive, addressing my issues swiftly. The pricing is competitive and scales nicely with business growth, which is crucial for me.

Managing DirectorOrchard Financial Marketing

Adam Orris

It is so simple to create your integration with all the supplied connectors. I also love the ability to send data to Gsheets and Looker for automation. The best part is being able to chat with your data inside of ChatGPT's. Adzviser really helps you along the way as well. The customer support is superb.

Director of Data and AnalyticsDisruptive Advertising

Saar Bell

Adzviser completely transformed the way I handle marketing data! Connecting all my sources to Google Sheets, Looker, and ChatGPT was unbelievably simple — no endless setup or technical headaches. Everything runs fast, accurate, and at a fraction of the cost compared to other tools I’ve tried. The customer support is extremely personal and responsive.

Company OwnerBellaPOINT

Powering data-driven decisions for 15K+ companies across 100 countries

Google PageSpeed Insights to Google BigQuery Integration FAQs

Exporting Google PageSpeed Insights data to BigQuery is simple with Adzviser. Sign up, start your $0.99 trial to create a workspace, select Google PageSpeed Insights as your data source, choose BigQuery as your export destination, configure your GCP project and dataset, and set up your export schedule. No coding required. View BigQuery Setup Guide →

With Adzviser, you can export all standard Google PageSpeed Insights metrics including FCP, LCP, INP, CLS, TTFB, performance score, accessibility score, best practices score, and SEO score. Choose any combination of metrics and breakdowns to include in your BigQuery tables. View all Google PageSpeed Insights metrics and breakdowns →

Yes! Adzviser supports scheduled exports so your BigQuery tables are always up-to-date with the latest Google PageSpeed Insights data. Set daily, weekly, or monthly export schedules.

Adzviser offers a $0.99 14-day trial to get started. All plans include unlimited account connections, unlimited exports, and access to all destinations. BigQuery also offers generous free-tier usage for queries and storage. View pricing details →

Yes! Adzviser supports Amazon S3 as an export destination with CSV and JSON format options. If you prefer AWS for your data storage, Amazon S3 is a great alternative to BigQuery. Connect Google PageSpeed Insights to Amazon S3 →

Yes! Adzviser offers a library of ready-to-use AI prompts specifically designed for Google PageSpeed Insights. These prompts cover reporting, optimization, analysis, and auditing — customize them with your account name and date range, then paste into Google BigQuery. Browse Google PageSpeed Insights AI prompts →

Yes! Google PageSpeed Insights is free for every Adzviser subscriber. There's no account to connect and nothing extra to pay—fair per-user rate limits keep it available for everyone.

No. Google PageSpeed Insights analyzes any public URL, so there's no account to connect or workspace to create. Just enter the web page URL you want to analyze and export it to BigQuery.

You can export Core Web Vitals along with both lab and field data, plus Lighthouse Performance, SEO, Accessibility, and Best Practices scores for any URL on desktop and mobile.

Export Google PageSpeed Insights Data to BigQuery