WPSolr logo
Search
Close this search box.

Table of contents :

How to implement autocomplete search with Algolia in WooCommerce

wpsolr-header-solr-elasticsearch-5

Table of contents :

Introduction

Implementing an autocomplete search feature in WooCommerce can greatly enhance the user experience and make it easier for customers to find the products they are looking for. Algolia is a powerful search platform that specializes in providing fast and relevant search results, and integrating it into your WooCommerce store can significantly improve the search functionality. In this post, we will discuss how to implement autocomplete search with Algolia in WooCommerce.

Step 1: Setting up Algolia Account and Indexing:

The first step is to create an Algolia account and set up an index for your WooCommerce products. Once you have created an account, you will need to install the Algolia plugin for WooCommerce. This plugin will facilitate the integration between WooCommerce and Algolia by providing the necessary functionalities to synchronize your products with Algolia’s index.

Step 2: Configuring the Algolia plugin:

After installing and activating the Algolia plugin, you will need to provide your Algolia API credentials in the plugin settings. You can obtain these credentials from your Algolia account dashboard. Once you have entered the API credentials, you can configure the indexing settings according to your requirements. For example, you can choose which product attributes to include in the search index, enable/disable typo tolerance, or configure sorting preferences.

Step 3: Implementing Autocomplete Search:

To enable autocomplete search in WooCommerce, we will need to modify the search form and add some JavaScript functionality. First, we will need to modify the WooCommerce search form to include the necessary markup and JavaScript code.


function autocomplete_search_form() {
    ob_start();
    ?>
<form class="search-form" role="search" action="<?php echo esc_url( home_url( '/' ) ); ?>" method="get"><label>
<input class="search-field" title="<?php echo esc_attr_x( 'Search for:', 'label', 'woocommerce' ); ?>" name="s" type="search" value="<?php echo get_search_query(); ?>" placeholder="<?php echo esc_attr_x( 'Search products...', 'placeholder', 'woocommerce' ); ?>" />
</label>
<input name="post_type" type="hidden" value="product" />
<button class="search-button" type="submit">
</button></form>
<?php
return ob_get_clean();
}
add_shortcode( 'autocomplete_search_form', 'autocomplete_search_form' );

The code above adds a new shortcode ‘[autocomplete_search_form]’ which can be used to display the modified search form in any part of your WooCommerce store.

Next, we will need to add the JavaScript code that communicates with the Algolia search service to provide autocomplete suggestions. The Algolia JavaScript client library provides all the necessary methods to interact with the search index.


function algolia_autocomplete_search_scripts() {
    wp_enqueue_script( 'algoliasearch', 'https://cdn.jsdelivr.net/npm/algoliasearch@4.10.1/dist/algoliasearch.min.js', array(), '4.10.1', true );
    wp_enqueue_script( 'autocomplete_search', get_template_directory_uri() . '/js/autocomplete_search.js', array( 'jquery' ), '1.0.0', true );

    wp_localize_script( 'autocomplete_search', 'autocomplete_search_params', array(
        'index_name' => get_option( 'algolia_autocomplete_index', 'products' ),
        'app_id' => get_option( 'algolia_application_id' ),
        'api_key' => get_option( 'algolia_search_api_key' ),
    ) );
}
add_action( 'wp_enqueue_scripts', 'algolia_autocomplete_search_scripts' );

The above code registers and enqueues the necessary JavaScript files for Algolia and the autocomplete search functionality. It also passes the necessary parameters, such as the index name and the Algolia API credentials, to the JavaScript file that handles the autocomplete search.

The ‘autocomplete_search.js’ file would contain the actual JavaScript code to implement the autocomplete search functionality using Algolia’s JavaScript client library. This code would listen for user input, make AJAX requests to the Algolia search API, and display the search suggestions in the autocomplete dropdown.

Conclusion

Implementing autocomplete search with Algolia in WooCommerce can greatly improve the search experience for your customers. By leveraging Algolia’s powerful search capabilities, you can provide fast and relevant search suggestions in real-time. By following the steps outlined above and using the provided PHP and JavaScript code snippets, you can easily implement autocomplete search in your WooCommerce store.

How WPSOLR can help

WPSOLR is a plugin that provides advanced search features for WordPress and WooCommerce. It integrates seamlessly with Algolia, allowing you to enhance the search functionality even further. With WPSOLR, you can customize the search behavior, apply filters to search results, and provide faceted search options to your customers.

By combining WPSOLR with Algolia, you can achieve a highly optimized search experience in your WooCommerce store. WPSOLR provides an intuitive interface to configure the Algolia search settings, customize the search results, and manage the indexing process. It also offers advanced features like multi-index search, synonyms, and custom ranking rules.

With WPSOLR, you can unleash the full power of Algolia’s search capabilities and provide a fast and reliable search experience for your customers. The integration between WPSOLR and Algolia simplifies the setup process and makes it easy to customize and fine-tune the search functionality according to your requirements.

Start implementing autocomplete search with Algolia in your WooCommerce store today and take advantage of the enhanced search experience provided by Algolia and WPSOLR. Your customers will appreciate the improved search functionality, and it can ultimately lead to increased conversions and customer satisfaction.

Related posts ... not powered by WPSOLR 😊

AI Search: Unlocking the Power of Big Data

Introduction In the era of information overload, extracting meaningful insights from vast amounts of data has become a critical challenge. This is where Artificial Intelligence