How To Gather Site-Wide Performance Metrics?

Google uses page speed as one of the most valuable signals to rank pages, which makes it significant for you to think about that component while making or testing your site. Calculating individual page speed performance can help see how effective or not your site is running all in all. There are various tools out there to assist you with understanding the presentation of an individual page, yet these do so exclusively; and if your site is a hundred or thousand-page site, it is difficult to sit and follow singular reports for those pages. You will at that point need to accumulate bits of knowledge for different URLs. In this way, here is a way you can use to gather site-wide performance metrics.

Google’s PageSpeed Insights API Version 5 :

With Google’s Version 5 arrival of the PageSpeed Insights API in November 2018, where it uses Lighthouse as its investigation engine and incorporates field information provided by CrUX, it is currently simple to create Lighthouse reports using Google Sheets and PageSpeed Insights API V5. With the PageSpeed Insights tool, you can easily and effectively reveal significant execution measurements for different URLs with only a few clicks. All you will require is a duplicate of the Google Sheet, a free Google API key, and the rundown of URLs you need information for. 

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How to do it? :

The Google Sheet comprises of three tabs, in particular Settings, Results, and Log. On the Settings tab, you should give a Google API key to make the sheet work. For this, you can visit the Google API Credentials page, and pick the API key choice from the “Make credentials” dropdown. Upon this activity, you will be provided with an API key, which you should duplicate glue into the API Key segment of the Settings tab of the Automated Pagespeed Insights spreadsheet. Finally, enable the PageSpeed API. On the Settings tab, you can fix a day and time to begin the report running, which will be planned for consistently. To have the capacity run for the remainder of the URLs, you basically need to plan the report to run once more.

Log Results :

The following component in the Settings tab is the Log Results work, which will automatically take the information that has populated in the Results tab and move it to the Log sheet. For the most part, you should set the Log day and time, after the scheduled report has run, so as to guarantee that there is sufficient opportunity to catch and log every one of the information. You can likewise physically push information to the Log sheet using the Manual Push Log button. Presently, your information will be produced for every URL given.

Logging the data :

Logging the information you have recovered is a helpful method to keep a record on the significant measurements. At the point when the runLog work runs, it moves every one of the columns from the Results tab that contains the “Total” status. Be that as it may, there should be vacant columns in the Log tab, without which the information won’t be duplicated over. Along these lines, you have to include a large number of columns already, contingent upon how regularly you intend to register and keep up the Log. The log highlight fundamentally runs each week to enable you sufficient opportunity to survey the outcomes, streamline, and afterwards screen your endeavours.Using the Log sheet as a Data Source in Google Data Studio, you can picture your outcomes. For whatever length of time that the Log sheet remains associated as a source, the outcomes will distribute consequently consistently, which will enable you to deal with execution streamlining and assess results utilizing Data Studio effectively, just as convey execution issues. Next, you should likewise mix your Log information with other information sources, which will assist you with comparing and investigate information from various sources with a typical key. There are numerous manners by which you can utilize this information in Google Data Studio.

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