Sitemaps
The livingdocs-server ships with a set of APIs to automatically create sitemaps. The full Public API specification can be found in our Public API documentation.
This guide will focus on the setup of Sitemaps within a delivery and the downstream customizations that need to be done to set up Feeds.
We provide a running minimal delivery, in the “Live Delivery Setup” section
Robots.txt
You will need to link the Sitemap and Feed in the robots.txt of your delivery
Sitemap: https://www.livingdocs.io/sitemap.xml
Sitemap: https://www.livingdocs.io/feed.xml
Sitemap index
The Sitemap index points to individual months, that contain all the actual entries of a Sitemap. Several Sitemaps for various content types could be created if they are individually linked in the robots.txt file.
Sitemap entries
The Sitemap entries follow the schema sitemap.YYYY-MM.xml or if it has more than the suggested limit of entries it will be split into a separate file such as sitemap.YYYY-MM.2.xml. We suggest keeping the limits the Livingdocs API provides.
Feeds
Feeds are highly customizable and no there is no ‘one-fits-it-all’ solution. We will still outline a way to integrate Feeds using one of our helper methods for Feeds that builds upon the RSS 2.0 Specification
Server Downstream You will need to add your own HTTP-API.
// /app/server.js
liServer.registerInitializedHook(function () {
const searchManager = server.features.api('li-search').searchManager
const sitemapsApi = server.features.api('li-sitemaps')
const feedsApi = require('./feeds_api')({
searchManager,
sitemapsApi
})
liServer.registerServerRoutes({
title: 'RSS Feeds',
description: 'Feed endpoints',
method: 'get',
prefix: '/daily-planet',
path: '/feed',
auth: 'public-api:read',
async action (req, res) {
const {channelId, projectId} = req.verifiedToken
const feed = await feedsApi.getFeed({channelId, projectId})
return res.success(feed)
}
})
})
// Setup the Feature - ./feeds/feeds_api.js
module.exports = ({searchManager, sitemapsApi}) => {
return {
async getFeed ({projectId, channelId}) {
// gather the latest published documents with the 'article' contentType
const res = await searchManager.searchPublications({
projectId: projectId,
channelId: channelId,
contentTypes: ['article']
})
// render the XML
const xml = sitemapsApi.renderFeedXml({
title: 'Feed title',
description: 'Feed description',
language: 'de',
copyright: 'Feed copyright',
link: 'https://livingdocs.io/',
pubDate: res.results[0]?.createdAt,
lastBuildDate: new Date(),
image: {
url: 'https://example.com/foo',
title: 'image title',
description: 'image description',
link: 'https://example.com/foo',
width: '144',
height: '400'
},
items: res.results.map((doc) => {
return {
title: 'document title',
description: 'document description',
pubDate: doc.createdAt,
link: `https://livingdocs.io/article/${doc.documentId}`
}
})
})
return xml
}
}
}
Result Note: This still result still needs to be consumed in the delivery, similar to the already implemented examples in the live delivery example in the next section.
<!-- example payload of the new downstream Feeds endpoint -->
<?xml version="1.0" encoding="UTF-8" ?>
<rss version="2.0">
<channel>
<title>Feed title</title>
<description>Alle Artikel von Livingdocs</description>
<language>de</language>
<copyright>copy-foo-right</copyright>
<image>
<url>https://example.com/foo-image</url>
<title>foo-image-title</title>
<description>some description for this image</description>
<link>https://example.com/foo-image</link>
<width>144</width>
<height>400</height>
</image>
<pubDate>Wed, 19 May 2021 14:55:06 GMT</pubDate>
<lastBuildDate>Wed, 19 May 2021 14:55:06 GMT</lastBuildDate>
<link>https://livingdocs.io/</link>
<item>
<title>foo item title</title>
<description>foo item description</description>
<link>https://livingdocs.io/article/1</link>
<pubDate>Tue, 01 Jan 2030 00:00:00 GMT</pubDate>
</item>
</channel>
</rss>
Live Delivery Setup
This live demo of a minimal delivery runs against a real Livingdocs instance.
You can explore the following routes in the example
/robots.txt/sitemap.xml/sitemap.2021-06.xml/feed.xml
