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sajari-website
Advanced tools
Website extensions for the Sajari API. Automatically index site content, add user profiles, render search and recommendations, etc.
Sajari Search is a hosted search and recommendation service supporting instant search, various recommendations widgets and automatic content indexing.
This library is UMD compatible, you can use it with any module loader.
If you don't use a module loader, it will export an SJ
method into the window
object. This is the default install code shown in your Sajari control panel.
To install:
npm install sajari-website --save
This module is designed for browser integration. It is a wrapper for the base Sajari API module that automatically integrates several key functions:
Example:
Simple search integration using an overlay to display results:
<input type="search" data-sj-search-query />
Example:
Search integration displaying 5 results within the page (note: results can be placed anywhere):
<input type="search" data-sj-search-query data-sj-maxresults="5" />
<div data-sj-search-results ></div>
Advanced example: Search integration favouring recent and local results, filtering to show only the "bike" category, displaying within the page (note: results can be placed anywhere):
<input type="search" data-sj-search-query data-sj-search-recent data-sj-local data-sj-filter="category,bike" />
<div data-sj-search-results ></div>
Example:
Related (to current page) recommendations integration:
<div data-sj-related></div>
Example:
Popular (site wide) recommendations integration:
<div data-sj-popular></div>
Example:
Related recommendations integration with 3 results, limited to pages where the URL contains "comedy", favour local results (works if pages have a lat-lng):
<div data-sj-related data-sj-local data-sj-maxresults="3" data-sj-filters="~url,comedy"></div>
FAQs
Website extensions for the Sajari API. Automatically index site content, add user profiles, render search and recommendations, etc.
We found that sajari-website demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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