npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@commercelayer/contentful-algolia-adapter

v0.0.4

Published

> A Node JS library that lets you export your ecommerce catalog from Contentuful and makes it ready to be imported into Algolia.

Downloads

5

Readme

Contentful Algolia Adapter

A Node JS library that lets you export your ecommerce catalog from Contentuful and makes it ready to be imported into Algolia.

What is Commerce Layer?

Commerce Layer is a headless platform that lets you easily build enterprise-grade ecommerce into any website, by using the language, CMS, and tools you already master and love.

Table of contents

How it works

This adapter assumes that you've already imported a set of products, based on a specific content model — both brought to you by Commerce Layer — into your Contentful space. Please find below the correct workflow, with all the preliminary steps included:

  1. import the content model into Contentful using our dedicated content model importer
  2. populate the content model with some data (feel free to use our Contentful Seeder)
  3. add at least one catalog and one country to the content model in Contentful
  4. run this adapter
  5. import your catalog into Algolia by using our importer.

This adapter is built for Node.js and doesn't run in the browser.

Getting Started

To be ready to use the Contentful Algolia Adapter, you need to install it and then get the credentials that will allow you to manage your space in Contentful.

Installation

Contentful Algolia Adapter is available as an npm package:

// npm
npm install @commercelayer/contentful-algolia-adapter

// yarn
yarn add @commercelayer/contentful-algolia-adapter

Import

You can use the ES6 default import as follows:

import adapter from '@commercelayer/contentful-algolia-adapter'

Usage

The adapter function

The adapter function returns a promise and you need to pass to it as a parameter an object containing:

  • accessToken: string - your Contentful content delivery token
  • spaceId: string - your Contentful space ID (required)
adapter({
  accessToken: 'your-content-delivery-token',
  spaceId: 'your-space-id',
}).then((result) => {
  console.log(result)
})

The returned array

The promise returned by the adapter function is an array of objects, ready to be set as the items parameter of our Algolia importer.

License

This repository is published under the MIT license.