How to Make lunr.js and Jekyll Work Together (with Gotchas)

lunr.js delivers fast search results because the entire search process happens in the browser. There is no network delay because the network never gets touched during the search.

Speed is one reason why this blog uses lunr.js for search. If you run a Jekyll-based blog, this post will tell you how to make lunr.js work for you. Gotchas (and solutions) are shared within.

Big Picture

Before we get into the details, let’s review how lunr.js works from a big picture perspective:

Now, the details.


Why does lunr.js store data in a JavaScript object notation (JSON) file? Primary reason: Speed. JSON files only contain keys and values. That’s it.

For example, here’s the JSON data for one blog post on this site: IoT Without the Hype.

    "blog-2015-12-17-iot-without-the-hype": {
      "title": "IoT Without the Hype",
      "content"	 : "Every great technology started as a toy. People played with kites and paper airplanes for thousands of years before the Wright Brothers achieved powered flight. Ada Lovelace and Charles Babbage toyed with the analytical engine over a hundred years before the digital computer.Toys Become Useful ProductsToday, IoT enthusiasts fly toy drones, while professional photographers use similar devices to capture breathtaking photos. IoT youth groups build and compete with toy robots, while warehouse managers use industrial versions of the same robots to reduce costs and speed up delivery times.The Internet of Things is grown up and ready to do real work. All it needs is you.Slides and video appear below.LinuxBarbados: Thanks!Thank you to the LinuxBarbados organizers for the opportunity to participate in the discussion.",
      "url": " /blog/2015/12/17/iot-without-the-hype/",
      "author": "",
      "categories": "community, education, iot"

Every blog post has an entry like the one shown above. Take a look at the current _site/search_data.json file for This is what lunr.js searches to produce fast results for visitors.

Now, here’s how to make lunr.js work for you.

Download lunr.min.js (Minified)

Download lunr.min.js from and store it in the /js/ directory of your Jekyll project. The min designation means that the file is minified. lunr.js consists of several JavaScript files that you can download and view individually if you’re curious. However, when it’s time to execute, the minified file will load and run faster because it’s a single, smaller file.

Create /js/search.js

Create a file called /js/search.js. This is a JavaScript program that calls lunr.js for search results. You will need to customize search.js for your Jekyll site by specifying the file names and field names that you’re using.

The following /js/search.js is currently in use at It’s customized for this site, and based on the resources listed at the end of this blog post.

jQuery(function() {
  // Initialize lunr with the fields to be searched, plus the boost.
  window.idx = lunr(function () {
    this.field('content', { boost: 10 });

  // Get the generated search_data.json file so lunr.js can search it locally. = $.getJSON('/search_data.json');

  // Wait for the data to load and add it to lunr{
    $.each(loaded_data, function(index, value){
        $.extend({ "id": index }, value)

  // Event when the form is submitted
      var query = $("#search_box").val(); // Get the value for the text field
      var results =; // Get lunr to perform a search
      display_search_results(results); // Hand the results off to be displayed

  function display_search_results(results) {
    var $search_results = $("#search_results");

    // Wait for data to load {

      // Are there any results?
      if (results.length) {
        $search_results.empty(); // Clear any old results

        // Iterate over the results
        results.forEach(function(result) {
          var item = loaded_data[result.ref];

          // Build a snippet of HTML for this result
          var appendString = '<li><a href="' + item.url + '">' + item.title + '</a></li>';

          // Add the snippet to the collection of results.
      } else {
        // If there are no results, let the user know.
        $search_results.html('<li>No results found.<br/>Please check spelling, spacing, yada...</li>');

Update: An earlier version of search.js did not work well with Firefox. Details on the problem and the solution: Firefox, 404, and lunr.js

You will observe that search.js looks at fields defined by search_data.json. The { boost: 10 } parameter tells lunr.js to give extra weight to words in the content section of each blog post. You might choose to boost a different field depending on what’s most important on your blog or site.

Create the search_data.json Template

Create a file called /search_data.json at the root of your Jekyll site, and fill it with the following:

layout: null
  {% for post in site.posts %}

    "{{ post.url | slugify }}": {
      "title": "{{ post.title | xml_escape }}",
      "content"	 : "{{post.content | strip_html | strip_newlines | remove:  "	" | escape | remove: "\"}}",
      "url": " {{ post.url | xml_escape }}",
      "author": "{{ | xml_escape }}",
      "categories": "{% for category in post.categories %}{{ category }}{% unless forloop.last %}, {% endunless %}{% endfor %}"
    {% unless forloop.last %},{% endunless %}
  {% endfor %}

Every time you run Jekyll’s build process, Jekyll will use /search_data.json to determine where to look and what to grab as it generates _site/search_data.json.

Create a Search Page

Next, you need to create a page where the user can execute a search. The search page for this blog is located at The following snippet displays the search box, search button, and search results:

layout: nonav
title: Search

Powered by <a href="/blog/2016/01/04/how-to-make-lunrjs-jekyll-work-together/">lunr.js</a>.

<form action="get" id="site_search">
  <input style="font-size:20px;" type="text" id="search_box">
  <input style="font-size:20px;" type="submit" value="Go!">

<ul id="search_results"></ul>

<script src=""></script>

And now you’re done. At this point, you should be able to search your Jekyll-powered blog using lunr.js.


Here are the gotchas that I encountered while getting lunr.js to work. Hope this saves you time:


Special to the following sources for their posts and code examples: