Is there a way to increase the size of localStorage in Google Chrome to avoid QUOTA_EXCEEDED_ERR: DOM Exception 22

You can't, it's hard-wired at 5MB. This is a design decision by the Chrome developers.

In Chrome, the Web SQL db and cache manifest also have low limits by default, but if you package the app for the Chrome App Store you can increase them.

See also Managing HTML5 Offline Storage - Google Chrome.

5MB is a hard limit and that is stupid. IndexedDB gives you ~50MB which is more reasonable. To make it easier to use try Dexie.js https://github.com/dfahlander/Dexie.js

Update:

Dexie.js was actually still an overkill for my simple key-value purposes so I wrote this much simpler script https://github.com/DVLP/localStorageDB

with this you have 50MB and can get and set values like that

// Setting valuesldb.set('nameGoesHere', 'value goes here');// Getting values - callback is required because the data is being retrieved asynchronously:ldb.get('nameGoesHere', function (value) {  console.log('And the value is', value);});

Copy/paste the line below so ldb.set() and ldb.get() from the example above will become available.

!function(){function e(t,o){return n?void(n.transaction("s").objectStore("s").get(t).onsuccess=function(e){var t=e.target.result&&e.target.result.v||null;o(t)}):void setTimeout(function(){e(t,o)},100)}var t=window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB;if(!t)return void console.error("indexDB not supported");var n,o={k:"",v:""},r=t.open("d2",1);r.onsuccess=function(e){n=this.result},r.onerror=function(e){console.error("indexedDB request error"),console.log(e)},r.onupgradeneeded=function(e){n=null;var t=e.target.result.createObjectStore("s",{keyPath:"k"});t.transaction.oncomplete=function(e){n=e.target.db}},window.ldb={get:e,set:function(e,t){o.k=e,o.v=t,n.transaction("s","readwrite").objectStore("s").put(o)}}}();

You can't but if you save JSON in your localStorage you can use a library to compress data like : https://github.com/k-yak/JJLC

demo : http://k-yak.github.io/JJLC/