An Interest In:
Web News this Week
- March 28, 2024
- March 27, 2024
- March 26, 2024
- March 25, 2024
- March 24, 2024
- March 23, 2024
- March 22, 2024
Removing Google Analytics and Replacing it with a cookie free Javascript Geo Tracking app
Running Google Analytics slows down site performance because adding any script to our html head tag adds overhead to our app. This includes any third party libraries also added to the head tag.
I found a free jsonp geo tracking app, pulled country, city and ip variables into my javascript, then passed these vars into a Lambda function and saved them as a json file to a simple AWS S3 bucket. This way I could avoid adding the google analytics to my head tag, thereby speeding up my performance a bit. I included the following code just before my end body tag.
<script type="text/javascript" src="https://ipinfo.io/json?callback=myCallback"></script>
then my callback function looks like this
function myCallback(post){session = Math.random().toString(36).substring(2, 15) + Math.random().toString(36).substring(2, 15); //added 11-11 default session pg_name="whatever ur page name is"; country = post.country;city =post.city;ip_address = post.ip;passVars(); //first run start script then run passvars javascript function to pass vars to Lambda } //end myCallback
my passvars javascript function looks like this..note we fetch Lambda inside this function
function passVars() {var date = new Date().toLocaleDateString('en-US');var now = new Date().toLocaleTimeString();var out = new Date().toLocaleTimeString(); //then pass 5 objects... ses, hit2 etc to lambda and call event.ses inside lambda..note, this object must be called articleconst article = { ses: session, city2: city, hit2: date, date2:pg_name, ip2:ip_address,country2:country, time2:now, time3:out }; //call Lambda function here, this next line is the AWS api gateway call to the Lambda functionfetch("https://xxxx.execute-api.us-east-2.amazonaws.com/default/saveS3", { method: "POST", // Adding body or contents to send body: JSON.stringify(article), // Adding headers to the request headers: { "Content-type": "application/json; charset=UTF-8" }})}
my Lambda function looks like this
const AWS = require('aws-sdk');const fetch = require('node-fetch');const s3 = new AWS.S3();exports.handler = async (event) => { //first fetch ur current json file from s3 bucket const res = await fetch('https://xxxx.s3.us-east-2.amazonaws.com/tracker2.json'); const json = await res.json(); // then add a new record json.push({ // get geo data, then pass vars into here from javascript file country: event.country2, session: event.ses, page_name: event.date2, hit: event.hit2, ip: event.ip2, time_in: event.time2, time_out: event.time3, event_name: event.city2 }); //then re write whole updated file back to s3 and it will overwrite existing file var params = { Bucket: 'xxxx', Key: 'tracker2.json', Body: JSON.stringify(json), //pass fetch result into body with update from push ContentType: 'json', }; var s3Response = await s3.upload(params).promise();};
My AWS S3 json file looks like this
[{"country":"Philippines","session":"j4w9nq38x4nl8v1fxy3ja","page_name":"Learn Java","hit":"11/22/2021","ip":"175.176.55.14","time_in":"7:52:35 PM","time_out":"7:52:35 PM"},{"country":"United States","session":"n0ja7c6z2vlec6tn7bd","page_name":"Learn Java","hit":"11/22/2021","ip":"66.249.66.130","time_in":"7:04:57 AM","time_out":"7:04:57 AM"}]
After passing variables to my S3 json file I can then render the result to html.
see the SQL section of my website at
https://javasqlweb.org
for more
Happy coding folks!
Original Link: https://dev.to/rickdelpo1/removing-google-analytics-and-replacing-it-with-a-cookie-free-javascript-geo-tracking-app-2dko
Dev To
An online community for sharing and discovering great ideas, having debates, and making friendsMore About this Source Visit Dev To