Google Analytics requests authentication to access Google Analytics data/reports. Implementation of Google Analytics can be done in both places client and server. Server APIs support a wide variety of languages and the authentication process is transparent for users. Javascript is a language to access Google Analytics APIs in client implementation. Also, to view Google Analytics in javascript, users have to be authenticated. The process of authentication includes a Google form to enter user credentials. It works perfectly for a set of scenarios but it doesn't work if we want to see pageviews in static web sites.

To solve an issue with authentication, we can use a Google Analytics token. A token allows bypass entering of credentials. It will add an extra step to generate a token and place it in a location accessible by your static web site. Google Analytics token has limited life; it is only 1 hour, so we need to renew our token every hour. It seems complicated but in fact not. It can be used a tool to generate tokens and push it in a static web site.

A sample is located in github repository. Static web site implementation is Pelican blog.

1. Create Google Analytics service account and extract json key file

Google Cloud Platform APIs Services Credentials

  • Create Key

Google Analytics Service Account Generate Key

2. Develop Generate Google Analytics token tool

The tool will use oauth2client library to run from_json_keyfile_name function from ServiceAccountCredentials service object. After getting a token, the token file will be updated on the static web site.

from oauth2client.service_account import ServiceAccountCredentials

# The scope for the OAuth2 request.
SCOPE = ''

# Defines a method to get an access token from the ServiceAccount object.
def access_token(key_file_path):
    return ServiceAccountCredentials.from_json_keyfile_name(key_file_path, SCOPE).get_access_token()

if __name__ == "__main__":

    key_file_path = 'tech-jogging-blog-98stj21aac52.json'

    token_file_path = 'report_access.js'

    with open(token_file_path, "w") as f_out:
        token = access_token(key_file_path).access_token
        token_code = 'var ANALYTICS_TOKEN = \'{}\';'.format(token)

Generated token javascript file looks like. It contains a variable with token value.

var ANALYTICS_TOKEN = 'ya29.c.Ko4BzQdIsUMOFvVHh5O90tnJZvW3but0Ym-C9C1NhKEt3ihBKEk6AOQFp-Mm-MUzZiyLJsfNSD90vqeUm078fSeXl0NXUhWZKvY79BJhg33UB_crRmwDY3Xn98KaPTgi22y4_QFdRA0l3GiQeISkQcnEmb0P1Y_eCquWR-qtDWVy-IBDZRJph2j6otc64oxoqQ';

3. Develop javascript code to access Google Analytics

The code runs when Google Analytics APIs is loaded, then it is used the generated token to authorize access to Google Analytics, after a pageviews query is sent, and finally the received pageview value is assigned to an HTML control. {

   * Authorize the user with an access token.
    'serverAuth': {
     'access_token': ANALYTICS_TOKEN

  var pagePathFilter = 'ga:pagePath==' + window.location.pathname;

  var report = new{
  query: {
        ids: 'ga:209816969',
    'start-date': 'today',
    'end-date': 'today',
    metrics: 'ga:pageviews',
    filters: pagePathFilter

report.on('success', function(response) {
    document.getElementById('query-output').value = response.totalsForAllResults['ga:pageviews'];



4. Create a HTML file to show pageviews

<!DOCTYPE html>
  <meta charset="utf-8">
  <title>Google Analytics Pageviews Sample</title>



<h1>Google Analytics</h1>

<h3>Pageviews Counter</h3>
<textarea cols="10" rows="1" id="query-output"></textarea>

<script src='report_access.js'></script>

<script src='pageviews.js'></script>


5. Schedule Generate Google Analytics token tool to be run every hour

It can be done in many different ways, for example, Linux - cron, Windows - Task Scheduler, Synology DSM - Task Scheduler.


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