Here's how to build on previous tutorials to get your Google Analytics PageView data into a Spreadsheet.

1. do something useful with
Apps Script in 5 minutes
5. Analytics pageviews to a sheet
Bruce McPherson
www.mcpher.com

2. Snippet objectives
● Use the lessons learned in ‘using a spreadsheet as a
database’
● Use the lessons learned in ‘getting analytics properties
to a sheet’, and get the analytics id you want to analyze
● Flattens analytics data and writes it all to a sheet
Libraries used
● database abstraction
● driver sheet
● useful stuff

3. Add libraries to script
● create a spreadsheet
● get its id
● create a script
● Open resources
● Add references to libraries
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4. Add analytics service
in advanced services, enable analytics

5. Enable analytics on cloud console

6. layout what you are going to do
function myFunction() {
// this is the propertyID we want to get the analytics for - it is the field named ‘id’ if you did the previous tutorial
// open spreadsheet as database
// get the analytics for all time
// write to the sheet after deleting current contents
}

7. write function to get pageviews
First step - Create a function to get the pageviews from the Analytics service. The analytics service is rate limited, so
we have to handle retries using exponential backoff. We’re only doing one call so its probably not needed, but no harm
to get in the habit and create a reusable function.
/**
* get pageviews
* @param {string} propertyId the analytics property id
* @param {Date} start start date
* @param {Date} finish end date
* @return {object} Analytics response data
**/
function pageViews (propertyId, start , finish) {
return cUseful.rateLimitExpBackoff(function () {
return Analytics.Data.Ga.get('ga:' + propertyId , gaDate(start), gaDate(finish), 'ga:pageViews', {dimensions:'ga:pagePath'} );
});
}

8. write function to format date
The analytics service expects a specific date format for date range filtering. Create a reusable function for that.
/**
* convert date format for analytics filtering
* @param {Date} a date
* @return {string} a formatted date
*/
function gaDate (dt) {
return Utilities.formatDate(dt, Session.getScriptTimeZone(), 'yyyy-MM-dd');
}

9. write wrapper to get data
This fills in some default dates and gets the analytics data. However the data is not yet in a very usable format.
/**
* get analytics data
* @param {string} propertyId the analytics property id
* @param {Date} optStart start date
* @param {Date} optEnd end date
* @return {Array.objects} array of objects showing url and pageviews
**/
function getAnalytics(propertyId,optStart,optEnd) {
// get data for this property filtered by optional dates
var data = pageViews (propertyId, optStart || new Date(2010,0 ,1 ), optEnd || new Date());
}

10. clean analytics data
Clean up property names and convert to a usable JavaScript array
function getAnalytics(propertyId,optStart,optEnd) {
// get data for this property filtered by optional dates
var data = pageViews (propertyId, optStart || new Date(2010,0 ,1 ), optEnd || new Date());
// clean up into a json object
return data.rows.map ( function (row) {
var i =0;
return row.reduce(function (p,c) {
p[data.columnHeaders[i++]['name'].replace("ga:","")] = c;
return p;
},{});
})
}

11. sort analytics data
May as well also sort it by URL
function getAnalytics(propertyId,optStart,optEnd) {
// get data for this property filtered by optional dates
var data = pageViews (propertyId, optStart || new Date(2010,0 ,1 ), optEnd || new Date());
// clean up into a json object
return data.rows.map ( function (row) {
var i =0;
return row.reduce(function (p,c) {
p[data.columnHeaders[i++]['name'].replace("ga:","")] = c;
return p;
},{});
})
.sort ( function (a,b) {
return (a.pagePath > b.pagePath ? 1 : (a.pagePath === b.pagePath ? 0 : -1)) ;
});
}

12. write everything to a sheet
We’ve cleaned up the data so it can just be written as is
// write to the sheet after deleting current contents
var result = sheetHandle.remove();
if (result.handleCode < 0 ) throw JSON.stringify(result);
var result = sheetHandle.save(data);
if (result.handleCode < 0 ) throw JSON.stringify(result);

13. Here’s the whole thing
function myFunction() {
// this is the propertyID we want to get the analytics for
var propertyId ='4xxx7';
// open spreadsheet as database
var sheetHandle = new cDbAbstraction.DbAbstraction (cDriverSheet, {
siloid:'analytics' + propertyId,
dbid:'19tZRW5CxA4V0kjJX8yAXAGGjzvVZ1433vz-NmBIBt7U'
});
if (!sheetHandle.isHappy()) throw 'unable to open sheet';
// get the analytics
var data = getAnalytics (propertyId, new Date(2010,0,1), new Date());
// write to the sheet after deleting current contents
var result = sheetHandle.remove();
if (result.handleCode < 0 ) throw JSON.stringify(result);
var result = sheetHandle.save(data);
if (result.handleCode < 0 ) throw JSON.stringify(result);
}

14. take a look at the sheet
You’ll find a row for each url in your site

15. Further homework
● The problem is that Analytics treats each url
variation as different URL - see below. How
about modifying to combine ‘like’ urls

16. Follow up materials
Take a copy of this script
Take a copy of these slides
Join me on G+, or the G+ community
More on desktop liberation
More on database abstraction
More on Analytics instrumentation
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