Generate Keys For Google Analytics Access

 

Overview

Google Analytics is a web analytics service offered by Google that tracks and reports website traffic

Steps to add this slice to your installation

The steps to launch your slice are:

2019-8-2  I need to create request for getting data from Google Analytics API in Postman. I managed to generate access token with playground platform but I need permanent refresh token (in playground I can generate only 24h token). I tried to generate token in Console API: I've created project; Add analytics API in my project; Generate client ID. All of Google. Sign in with your Google Account Enter your email. Find my account Sign in with a different account Create account One Google Account for everything Google About Google. 2020-4-10  Enable BigQuery exports for Google Analytics for Firebase. See Export project data to BigQuery. Update their app to pass a user ID into both the Google Analytics for. 2019-11-18  Question: How do I generate a new API key for Google Analytics Simple API Access and receive it using google-api-java-client via OAuth2 and without user-interaction (fully automated)? Bounty: I would appreciate an answer that either provides a Java program or a detailed sequence of API calls. The output of the program is a functioning API key. Dec 13, 2017 The Google Analytics Reporting API is the most advanced programmatic method to access report data in Google Analytics. The API also allows you to programmatically interact with Google Analytics account, creating reports and dashboards that can be viewed from within your GA account but also to embed them into other applications. I need to create request for getting data from Google Analytics API in Postman. I managed to generate access token with playground platform but I need permanent refresh token (in playground I can generate only 24h token). I tried to generate token in Console API: I've created project; Add analytics API in my project; Generate client ID.

  1. Generate Google API keys
  2. Specify the slice config
  3. Add the Google Analytics slice

1. Generate Google API keys

Setup requirements

Before getting started please make sure to have the following information:

  • Access to an active Google account

Setup instructions

  1. Get Google Analytics OAuth credentials

    1. Log into Google Developer Console for your account and select (or create) project https://console.developers.google.com/apis/api/analyticsreporting.googleapis.com/overview

    2. Click on Credentials to create OAUTH2 Client Ids.

    3. Click on the created client id to store it in a json file.

    4. Use the client_id obtained in step 3 in the following url and go to this url in a browser(safari is better with error messages):

    1. You will be prompted to log in with your google credentials and also prompted to allow access to Google access the url with your credentials

    You will then be redirected to with a page like this:

    Save the code parameter. The code can be redeemed only once. If it is already redeemed, it will throw an error and step 4 needs to be repeated to get a valid code.

    1. Now, run the following command using a terminal:

    The response will be like:

    You will need to use client id, client secret, access token and refresh token.

  2. Provide View Id of the project

    In Google Analytics web console /fmrte-15-license-key-generator.html.

    Click Admin > View > View Settings > Id

    This Id needs to be saved in the runtimeConfig file as view_id.

2. Specify the slice config

To get a template for the Google Analytics slice configuration save the output of the describe --input-parameters command as follows:

Necessary input parameters:

  • view_id - The Consumer Key from the connected app definition.
  • client_id - OAuth client id
  • client_secret - OAuth client secret
  • access_token - OAuth access token
  • refresh_token - OAuth refresh token
  • loadunits - for each load unit you can specify the following parameters: ( Please refer to https://developers.google.com/analytics/devguides/reporting/core/dimsmets to get the list of load units and the supported metrics and dimensions for each load unit )
  • metrics - The list of metrics to be fetched for the load unit.
  • dimensions - The list of dimensions to be fetched for the load unit.

Optional input parameters:

for datasource:

  • schedule - in cron format

for loadunit:

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  • schedule - cron format. You can define a different schedule for the table from the global schedule set above.
  • filters: dimensions filters

Example templates:

3. Add the Slice

  • slice-name Name of your slice. A schema with your slice-name is automatically created in your warehouse
  • params-file File path to your input parameters file. Ex. googleanalytics_parameters_file.json

Supported load units

  • analytics

Slice output

Access

Output of this slice is stored in S3 and Redshift.

AWS S3Data stored in AWS S3 is partitioned by date and time in the following buckets3//:customer_installation.datacoral/<sliceName>https://canvasven.weebly.com/blog/the-alchemist-ebook-pdf.

AWS Redshift:Schema - schema name will be same as a slice-name.Tables produced by the slice are:

Questions? Interested?

Generate Keys For Google Analytics Accessories

If you have questions or feedback, feel free to reach out at hello@datacoral.co or Request a demo