If you have a custom site that does not use a plugin for its e-commerce site, it is still possible to integrate the Doofinder search into your site. To install it, ensure that you have the following ready:
- Doofinder account
- Product data feed
- Inside the Doofinder search engine’s setup section, name your search engine and fill in your site URL.
- Next, select the platform you want; in this case, it will be “Other e-commerce”.
- Also, select your site’s language, currency and the sector, then Check the Site and press the ‘Continue’ button.
- On the next page, you will fill in your data feed. It could be in CSV, .txt. or .XML file types and then the Process URL button.
- As the URL processes, you can proceed with configuring the Doofinder Layer script by hitting the Yes, let’s go!’ button.
Configuring the Layer Installer V7
1 of 4 – Confirm your site’s URL:
Confirm your site’s URL, click continue. Leave the platform field empty or select Other.
2 of 4 – Layer Type:
Choose the type of Layer to present the search results, Classic, Fullscreen or Compact and click on Continue. Remember, you can always change this later.
3 of 4 – Show Layer: Search Box
Choose the search box button and then click on the search bar on your site. You will see a preview of the layer.
4 of 4- Layer Options:
Here you can modify the appearance of the layer as follows:
- Display Options: Changes the size of the layer.
- Position Options: Modifies the positioning of the layer
- Facets Options: Changes the size and positioning of the filters
- Search History: Select the checkbox if you want to include a Search History plugin on your site.
Click on Save to complete the configuration.
Once you have your script ready, you only need to copy and paste it into your HTML code header or footer section. Make sure this script is present on all your pages.
Also, you can configure the script on your site via Google Tag Manager
To maximize the potential of Doofinder search and get the Doofinder results on your search page, you can implement Doofinder as an internal search by coding in our Search API or replacing your search results page using the embedded layer.