How to integrate Google PageSpeed Insights API in Google BigQuery

Discover how to integrate Google PageSpeed Insights API and Google BigQuery and instantly get access to your data.

WITH DATA VIRTUALITY PIPES
Replicate Google PageSpeed Insights API data into Google BigQuery and analyze it with your BI Tool.
How to integrate Google PageSpeed Insights API in Google BigQuery with Pipes


About Google PageSpeed Insights API

Google PageSpeed Insights is a web tool that helps in identifying performance best practices on any website, provides suggestions on a website optimizations, and suggests general ideas of how to improve a website's speed. The tool is a browser application. Per URL request, it grades webpage performance on a scale from 1 to 100.

About Google BigQuery

Google BigQuery is a fully managed, low cost enterprise data warehouse for analytics used by Fortune 500 companies as well as startups. While Google BigQuery works in conjunction with Google Storage for interactive analysis of massively large data sets it can scan TeraBytes in seconds and PetaBytes in minutes.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Google PageSpeed Insights API, Google BigQuery and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.