gatoo

this project will provide a command line and a library to export google analytics to your prefered endpoint (console, log management, or db).

Use as Command Line

install globally with npm install gatoo -g. Aftyer this it can be run with the next command:

gatoo console <email> <ReplativePath> <viewId> <startDate> <endDate> <metrics> <dimensions>

Use as library

first step is to add this to your project throught yarn add gatoo or npm install gatoo

currently you can retrieve in a simple way data from google analytics and route it to your prefered output. An example of retrieval is the next one.

Import

const importer = require('../lib/index').importer
    path = require('path')
    
const email = 'your email' //email account from the user credentials
    keyPath = path.join(__dirname, 'your credentials')// path to credentials json or pem
    config = {
    viewId: "some viewId",//the view id to query
    daterange:{
        "endDate":"2017-06-30",
        "startDate":"2016-06-30"
      },
      metrics: "ga:users",
      dimensions: "ga:date"
    }

const example = async () => {
    const result = await importer(email, keyPath, config)
    console.log(JSON.stringify(result.data))
}

example()

Export

const exporter = require('../lib/index').exporter
    path = require('path')
    
const email = 'your email' //email account from the user credentials
    keyPath = path.join(__dirname, 'your credentials')// path to credentials json or pem
    config = {
    viewId: "some viewId",//the view id to query
    daterange:{
        "endDate":"2017-06-30",
        "startDate":"2016-06-30"
      },
      metrics: "ga:users",
      dimensions: "ga:date"
    }

const doSomething () => {}

const example = async () => {
    const result = await exporter(email, keyPath, config,  doSomething)
}

example()

Export to console

const exporter = require('../lib/index').outputTo
    path = require('path')
    
const email = 'your email' //email account from the user credentials
    keyPath = path.join(__dirname, 'your credentials')// path to credentials json or pem
    config = {
    viewId: "some viewId",//the view id to query
    daterange:{
        "endDate":"2017-06-30",
        "startDate":"2016-06-30"
      },
      metrics: "ga:users",
      dimensions: "ga:date"
    }

const example = async () => {
    const result = await outputTo.console(email, keyPath, config)
}

example()

TODO

• Retrieve data from google analytics
• Create library
• Create adapter for output console
• Create command line tool console
• Create adapter logstash
• Create adapter fluentd
• Create adapter ES
• Create command line tool logstash
• Create command line tool fluentd
• Create command line tool ES

Logo

Check out the new logo that I created on LogoMakr.com https://logomakr.com/32f2Md