Connect Google PageSpeed Insights to Looker Without SQL

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What is Google PageSpeed Insights?

Google PageSpeed Insights is a valuable tool for enterprises, as it analyzes website performance and provides actionable suggestions to improve loading speed. By optimizing web pages, businesses can enhance user experience, boost SEO rankings, and increase conversion rates. Utilizing Google PageSpeed Insights allows companies to stay competitive in today's fast-paced digital landscape.

What is Looker?

Looker is a powerful business intelligence (BI) and data visualization platform, enabling enterprises to transform raw data into valuable insights. With its robust features, Looker allows users to create customizable reports and dashboards, fostering data-driven decision-making. Looker's capabilities help businesses identify trends, patterns, and opportunities, ultimately driving growth and increased revenue.

Connecting Google PageSpeed Insights to Looker

  • Begin by extracting Google PageSpeed Insights data via the API. This will require a valid API key, which can be obtained from the Google Developer Console.
  • Once you have the API key, use a scripting language like Python to write a script that fetches the required data from Google PageSpeed Insights. This may include metrics such as First Contentful Paint, Time to Interactive, and Speed Index.
  • With the data extracted, it's time to transform it into a format compatible with Looker. This can involve cleaning, aggregating, and normalizing the data to ensure consistent and accurate reporting.
  • Next, load the transformed data into a data warehouse, such as Google BigQuery, Amazon Redshift, or Snowflake. This storage solution should be compatible with Looker, allowing for seamless integration.
  • Connect Looker to your data warehouse by setting up a connection in the Looker platform. You may need to provide credentials, such as a username and password, to establish this link.
  • Once connected, use Looker to create customized reports and dashboards that visualize your Google PageSpeed Insights data. Looker's powerful features allow for in-depth analysis, helping you make informed business decisions based on your website performance.
  • Instead of manually setting up this integration, consider using Improvado. This advanced marketing analytics platform simplifies the process of connecting Google PageSpeed Insights to Looker by handling data extraction, transformation, and normalization for you.

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Waleed Noury, Senior Media Analyst at Activision
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Connecting Google PageSpeed Insights to Looker with Improvado

Improvado is the ideal solution for connecting Google PageSpeed Insights to Looker, as it streamlines the entire process. This powerful platform automates data extraction and transformation, ensuring that your data is accurately and consistently reported. By using Improvado, you'll gain access to a wide range of metrics and dimensions that can be automatically extracted from Google PageSpeed Insights, allowing for in-depth analysis.

Furthermore, Improvado provides top-notch customer support, ensuring that any questions or issues are promptly addressed. The platform's scalability and customization options make it a perfect fit for large enterprises, offering the flexibility to adapt to your unique business needs.

Summary of connection Google PageSpeed Insights to Looker

In summary, connecting Google PageSpeed Insights and Looker is a powerful way to analyze and visualize your website performance data. By using Improvado, you can streamline this process and enjoy numerous benefits, such as scalability, customization, and exceptional customer support. Additionally, the platform's ability to process large volumes of data and centralize marketing and sales data makes it an ideal solution for enterprise-level organizations. If you're interested in learning more about how Improvado can help your business, book a call with one of their experts today.

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Trusted by the leading data-driven companies, Improvado is an advanced marketing analytics providing businesses with fully automated no-code data pipelines: from data to insights.

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