Cristian Vasta

Cristian Vasta


Using Algolia Search in Node.js

The examples above are only a few of examples using algolia search in Node.js. You can read the API documentation for the list of available methods.

Fast and accurate search feature is a very important thing. It makes it easy for users to find what they want, which leads to more loyal users and more profit. However, implementing sophisticated search is not an easy thing. You need to handle many things such as indexing, handlling typo, ordering ranking and much more. Fortunately, there are some hosted search services that can handle all those problems.

One of the most popular hosted search engine service is Algolia. If you have registered for an Algolia account, you can start to store your data on their datacenters and configure the settings to make it more accurate and powerful. They also have additonal features such as A/B testing and analytics. In this tutorial, I’m going to show you how to use Algolia Search from your Node.js application.

Algolia Concepts


Like other search engines, it supports indexing. First you need to put your data to Algolia server. You can do it by either uploading via dashboard or programatically via API. They encourage you to insert records in batch with a recommended size of 10MB per batch. Algolia uses ObjectID field to identify unique object, you can either supply it or let Algolia set ObjectID automatically.


Not only returning the results of a query, Algolia also has the following features:

  • Pagination. It supports pagination and you can set the number of items per page
  • Highlighting. It can highlight part of a record that makes it match to the query
  • Snippeting. For fields with long value, you can choose to display the snippet only instead of the full text
  • Filtering. It’s used to limit the results returned to a specific subset of your data. Filtering is based on the attributes: For non-numeric attributes, they need to be set up as categories, referred to as facets. You need to at them as attributesForFaceting. For numeric attributes, you don’t need to at them as attributesForFaceting. It also supports tags, added as _tags element. You can filter tags using tagFilters parameter
  • Faceting. Facets are used to create categories on a select group of attributes. For the seleted attributes, you can get the list of all  posible values and return contextual values and counts. It also enables you to compute a facet count for each value and search within the values of this attribute.
  • Geo Search. It’s used to filter and sort results based on geo-locations
  • Query Expansion. It’s about loosening query constraints when no results are found. You can add the words to be removed if no results found.


Algolia’s ranking ranking strategy is designed to handle challanging search problem by supporting the following features.

  • Custom Ranking. You can specify ranking order for each attributes, either descending or ascending.
  • Searchable Attributes. It’s possibble to set which attributes will be used for search. It means the presence of a keyword in other attributes won’t be count.
  • Sorting. It allows you to use multiple sorting strategies for an index
  • Distinct. You can also specify attribute for distinct.
  • Personalization. This feature allows you to use different ranking strategies for different users.

Textual Reference

Textual reference is about defining attributes and text-based rules for better search results.

  • Handling Natural Language. It supports text normalization adding language specificity, and language-specific configuration.
  • Typo-tolerance. It can handle typo and you can set minimum number of characters for 1 typo and 2 typos.
  • Plurals. It’s also possible to ignore plurals, so that the singular form and plural form will be consisted as the same word.
  • Optional Words. You can also specify which words in the query are optional. It makes a record that doesn’t contain the optional words can be considered as a match.
  • Stop Words. You may want to remove stop words such as “the”, “and”, “at”, and “as”. By default it’s not removed. But optionally you can remove it as well as specifying the stop words of which language should be removed.
  • Prefix. This features enable users to get the results instantly before he’s completing to type a keyword. By default it uses prefixLast, where only the last word in a query is treated as prefix. Optionally you an use prefixAll, which treats all query words as prefixes. If you don’t want to use this feature, use prefixNone instead
  • Synonyms. Some words have similar or same meaning with others and you want those word to be treated as the same with the synonyms. In order to do so, you have to supply your own list of synyonyms.

Query Rules

It allows you to change how Algolia would treat specific search terms. For example, you can promote results, apply segmentation, perform dynamic filtering, and much more.

Using Algolia in Node.js

Now we go to the main topic of this tutorial. First you need to register for an Algolia account. We use algoliasearch library - it’s the official library by the Algolia team. I also give you some basic usages examples.

1. Register for an Algolia account

To register, open the Algolia pricing page and select the package you want. For the paid plans, you can start with a free trial. Alternatively, you can choose the community plan which is forever free, but with a lot of limitations. During registration, you’ll need to enter your basic information, choose the datacenter and tell what your project is about.

After finishing the registration, you need to get the credentials for your application. Open the API Keys menu and you’ll be redirected to a page. There should be the application ID along with three keys consisting of search-only API key, admin API key and monitoring API key. Copy the value of application ID and the appropriate keys to .env. In this tutorial, since we’re going to add data to Algolia as well as change the configuration, the admin API key is the most appropriate. However, if you have a search features that can be used by your visitors, using the search-only API key is a more secure option.


2. Install Dependencies

In this tutorial, we’re going to use algoliasearch node module. As the credentials are stored on .env, we need to read it using dotenv. We also use bluebird and lodash.

  "algoliasearch": "~3.29.0",
  "bluebird": "~3.5.1",
  "dotenv": "~4.0.0"
  "lodash": "~4.17.10",

After that, run npm install.

3. Code

Now it’s time to code. We create a new helper file for Algolia Search.



  const _ = require('lodash');
  const algoliasearch = require('algoliasearch');
  const Bluebird = require('bluebird');

  function AlgoliaClient() {
    if (!(this instanceof AlgoliaClient)) {
      return new AlgoliaClient();

    this.algoliaSearch = algoliasearch(process.env.ALGOLIA_APPLICATION_ID, process.env.ALGOLIA_ADMIN_API_KEY_ID)

  // Later add the prototype functions here

  module.exports = AlogliaClient;

And we use it in other file


  const AlgoliaClient = require('./helpers/algolia-search');

  const client = new AlgoliaClient();

Insert/Update Objects

The following code is for inserting or updating objects. In order to update an existing object, the record must have the same ObjectID.


   * Insert/update records to Algolia
   * @param {string} indexName - The indices name where you want to insert/update data
   * @param {Array. objects - The data you want to upsert.
   * If you want to update existing record, you need to provide the same ObjectID,
   * which will be used by Algolia for reference.
   * @param {number} [batchSize] - Number of records to be sent per request.
   * @return {Promise}
  AlgoliaClient.prototype.addObjects = function (indexName, objects, batchSize) {
    const index = this.algoliaSearch.initIndex(indexName);

    const DEFAULT_BATCH_SIZE = 1000;
    batchSize = batchSize || DEFAULT_BATCH_SIZE;

    const chunkedObjects = _.chunk(objects, batchSize);

    return Bluebird.each(chunkedObjects, objectChunk => index.addObjects(objectChunk));


  client.addObjects('contacts', yourCollections)


Configuring Algolia Search can be done via dashboard. In case you need to do it from your code, here is the example.


  * @param {string} indexName - The name of indices you want to configure.
  * @param {Object} settings
  * @param {number} settings.minWordSizefor1Typo - The minimum number of characters to accept one typo (default = 3).
  * @param {number} settings.minWordSizefor2Typos - The minimum number of characters to accept two typos (default = 7).
  * @param {number} settings.hitsPerPage - The number of hits per page (default = 10)
  * @param {Array.<string>} settings.attributesToRetrieve - list of attributes to retrieve in results.
  * @param {Array.<string>} settings.attributesToHighlight - List of attributes to highlight in results.
  * @param {Array.<string>} settings.attributesToSnippet - List of attributes you want to display the snippet in results.
  * Format is attributeName:numberOfWords
  * For example ['address:8']
  * @param {Array.<string>} settings.attributesToIndex - List of attributes you want to index
  * @param {Array.<string>} settings.attributesForFaceting - List of attributes for faceting
  * @param {string} settings.attributeForDistinct - Name of attribute used for distinct
  * @param {Array.<string>} settings.ranking - Set the results order
  * Default order is ["typo", "geo", "proximity", "attribute", "exact", "custom"]
  * @param Array.<string>} settings.customRanking - Specify ranking order
  * For example `"customRanking" => ["desc(followers)", "asc(firstname)"]`
  * @param {string} settings.queryType - How the query words are interpreted. Options:
  * - prefixLast (default): only the last word is interpreted as a prefix.
  * - prefixAll: all query words are interpreted as prefixes,
  * - prefixNone: no query word is interpreted as a prefix (not recommended).
  * @param {string} settings.highlightPreTag - String inserted before highlighted parts
  * @param {string{ settings.highlightPostTag - String inserted after highlighted parts
  * @param {Array.} settings.optionalWords - List of words considered optional when found in the query.
  AlgoliaClient.prototype.configure = function (indexName, settings) {
    const index = this.algoliaSearch.initIndex(indexName);

    return index.setSettings(settings);


  client.configure('contacts', {
    attributesToIndex: [
    minWordSizefor1Typo: 5,
    minWordSizefor2Typos: 8,
    hitsPerPage: 5,
    attributesToRetrieve: ['firstname', 'lastname', 'county', 'address'],
    attributesToHighlight: ['county'],
    attributesToSnippet: ['address:8'],
    attributesForFaceting: ['city', 'state'],
    attributeForDistinct: 'city',
    ranking: ['typo', 'geo', 'proximity', 'attribute', 'exact', 'custom'],  // Ranking order. Default is
    customRanking: ['desc(population)', 'asc(name)'],
    queryType: 'prefixLast',
    highlightPreTag: '',
    highlightPostTag: '',
    optionalWords: [],


The following is an example of how to perform search.


  * Perform the search
  * @param {string} indexName - The indices name where you want to search
  * @param {string|Object} queries - The search settings
  * @param {number} - The page number to retrieve.
  * @param {number} queries.hitsPerPage - Number of results per page.
  * @param {Array.|string} queries.attributesToRetrieve - List of attributes to retrieve, either comma separated string (without space) or array of strings.
  * @param {Array.|string} queries.attributesToHighlight - List of attributes to highlight in resultse, either comma separated string (without space) or array of strings.
  * @param {Array.|string} queries.attributesToSnippet - List of attributes you want to display the snippet in resultse, either comma separated string (without space) or array of strings.
  * @param {number} queries.minWordSizefor1Typo - The minimum number of characters to accept one typo (default = 3).
  * @param {number} queries.minWordSizefor2Typos - The minimum number of characters to accept two typos (default = 7).
  * @param {number} queries.getRankingInfo - If set to 1, the result hits will contain ranking
   * information in _rankingInfo attribute.
  * @param {string} queries.aroundLatLng - Search for entries around a given latitude and longitude defined by 2 floats separated by comma
  * For example, `47.316669,5.016670`
  * At indexing, you should specify geoloc of an object with the _geoloc attribute
  *   (in the form {"_geoloc":{"lat":48.123456, "lng":2.123456}})
  * @param queries.insideBoundingBox - Search entries inside a given area defined by 4 floats separated by comma
  * For example `47.3165,4.9665,47.3424,5.0201`
  * At indexing, you should specify geoloc of an object with the _geoloc attribute
  *   (in the form {"_geoloc":{"lat":48.123456, "lng":2.123456}})
  * @param {string} queries.numericFilters - List of numeric filters you want to apply.
  * @param {Array.|string} queries.tagFilters - Filter the query by a set of tags.
  * For example, `tags=tag1,(tag2,tag3)`
  * You can also use an array `["tag1",["tag2","tag3"]]`
  * Both mean tag1 AND (tag2 OR tag3)
  * @param {Array.|string} queries.facetFilters - Filter the query by a list of facets.
  * For example: `company:xxx,firstname:John`.
  * You can also use an array `['company:xxx','firstname:John"]`.
  * @param {Array.|string} queries.facets - List of object attributes that you want to use for faceting.
  * @param {string} queries.queryType - How the query words are interpreted. Options:
  * - prefixLast (default): only the last word is interpreted as a prefix.
  * - prefixAll: all query words are interpreted as prefixes,
  * - prefixNone: no query word is interpreted as a prefix (not recommended).
  * @param {string} queries.optionalWords - List of words considered optional when found in the query.
  * @param {number} queries.distinct - If set to 1, enable the distinct feature (disabled by default)
  * @param {Array.|string} queries.restrictSearchableAttributes - List of attributes for searching either array or comma separated.
  * Must be subset of attributesToIndex.
  */ = function (indexName, queries) {
    const index = this.algoliaSearch.initIndex(indexName);


You can simply provide the keyword only

example.js'contacts', 'Donald').then(console.log);

Or use advanced search.

example.js'contacts', {
    query: 'Donald',
    page: 2,
    hitsPerPage: 2,
    attributesToRetrieve: 'firstname,fax,address',
    attributesToHighlight: 'firstname',
    attributesToSnippet: ['address:8'],
    numericFilters: 'followers>1000',

The examples above are only a few of examples using algolia search in Node.js. You can read the API documentation for the list of available methods.

#nodejs #node #Algolia #javascript

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Using Algolia Search in Node.js

NBB: Ad-hoc CLJS Scripting on Node.js


Not babashka. Node.js babashka!?

Ad-hoc CLJS scripting on Node.js.


Experimental. Please report issues here.

Goals and features

Nbb's main goal is to make it easy to get started with ad hoc CLJS scripting on Node.js.

Additional goals and features are:

  • Fast startup without relying on a custom version of Node.js.
  • Small artifact (current size is around 1.2MB).
  • First class macros.
  • Support building small TUI apps using Reagent.
  • Complement babashka with libraries from the Node.js ecosystem.


Nbb requires Node.js v12 or newer.

How does this tool work?

CLJS code is evaluated through SCI, the same interpreter that powers babashka. Because SCI works with advanced compilation, the bundle size, especially when combined with other dependencies, is smaller than what you get with self-hosted CLJS. That makes startup faster. The trade-off is that execution is less performant and that only a subset of CLJS is available (e.g. no deftype, yet).


Install nbb from NPM:

$ npm install nbb -g

Omit -g for a local install.

Try out an expression:

$ nbb -e '(+ 1 2 3)'

And then install some other NPM libraries to use in the script. E.g.:

$ npm install csv-parse shelljs zx

Create a script which uses the NPM libraries:

(ns script
  (:require ["csv-parse/lib/sync$default" :as csv-parse]
            ["fs" :as fs]
            ["path" :as path]
            ["shelljs$default" :as sh]
            ["term-size$default" :as term-size]
            ["zx$default" :as zx]
            ["zx$fs" :as zxfs]
            [nbb.core :refer [*file*]]))

(prn (path/resolve "."))

(prn (term-size))

(println (count (str (fs/readFileSync *file*))))

(prn (sh/ls "."))

(prn (csv-parse "foo,bar"))

(prn (zxfs/existsSync *file*))

(zx/$ #js ["ls"])

Call the script:

$ nbb script.cljs
#js {:columns 216, :rows 47}
#js ["node_modules" "package-lock.json" "package.json" "script.cljs"]
#js [#js ["foo" "bar"]]
$ ls


Nbb has first class support for macros: you can define them right inside your .cljs file, like you are used to from JVM Clojure. Consider the plet macro to make working with promises more palatable:

(defmacro plet
  [bindings & body]
  (let [binding-pairs (reverse (partition 2 bindings))
        body (cons 'do body)]
    (reduce (fn [body [sym expr]]
              (let [expr (list '.resolve 'js/Promise expr)]
                (list '.then expr (list 'clojure.core/fn (vector sym)

Using this macro we can look async code more like sync code. Consider this puppeteer example:

(-> (.launch puppeteer)
      (.then (fn [browser]
               (-> (.newPage browser)
                   (.then (fn [page]
                            (-> (.goto page "")
                                (.then #(.screenshot page #js{:path "screenshot.png"}))
                                (.catch #(js/console.log %))
                                (.then #(.close browser)))))))))

Using plet this becomes:

(plet [browser (.launch puppeteer)
       page (.newPage browser)
       _ (.goto page "")
       _ (-> (.screenshot page #js{:path "screenshot.png"})
             (.catch #(js/console.log %)))]
      (.close browser))

See the puppeteer example for the full code.

Since v0.0.36, nbb includes promesa which is a library to deal with promises. The above plet macro is similar to promesa.core/let.

Startup time

$ time nbb -e '(+ 1 2 3)'
nbb -e '(+ 1 2 3)'   0.17s  user 0.02s system 109% cpu 0.168 total

The baseline startup time for a script is about 170ms seconds on my laptop. When invoked via npx this adds another 300ms or so, so for faster startup, either use a globally installed nbb or use $(npm bin)/nbb script.cljs to bypass npx.


NPM dependencies

Nbb does not depend on any NPM dependencies. All NPM libraries loaded by a script are resolved relative to that script. When using the Reagent module, React is resolved in the same way as any other NPM library.


To load .cljs files from local paths or dependencies, you can use the --classpath argument. The current dir is added to the classpath automatically. So if there is a file foo/bar.cljs relative to your current dir, then you can load it via (:require [ :as fb]). Note that nbb uses the same naming conventions for namespaces and directories as other Clojure tools: foo-bar in the namespace name becomes foo_bar in the directory name.

To load dependencies from the Clojure ecosystem, you can use the Clojure CLI or babashka to download them and produce a classpath:

$ classpath="$(clojure -A:nbb -Spath -Sdeps '{:aliases {:nbb {:replace-deps {com.github.seancorfield/honeysql {:git/tag "v2.0.0-rc5" :git/sha "01c3a55"}}}}}')"

and then feed it to the --classpath argument:

$ nbb --classpath "$classpath" -e "(require '[honey.sql :as sql]) (sql/format {:select :foo :from :bar :where [:= :baz 2]})"
["SELECT foo FROM bar WHERE baz = ?" 2]

Currently nbb only reads from directories, not jar files, so you are encouraged to use git libs. Support for .jar files will be added later.

Current file

The name of the file that is currently being executed is available via nbb.core/*file* or on the metadata of vars:

(ns foo
  (:require [nbb.core :refer [*file*]]))

(prn *file*) ;; "/private/tmp/foo.cljs"

(defn f [])
(prn (:file (meta #'f))) ;; "/private/tmp/foo.cljs"


Nbb includes reagent.core which will be lazily loaded when required. You can use this together with ink to create a TUI application:

$ npm install ink


(ns ink-demo
  (:require ["ink" :refer [render Text]]
            [reagent.core :as r]))

(defonce state (r/atom 0))

(doseq [n (range 1 11)]
  (js/setTimeout #(swap! state inc) (* n 500)))

(defn hello []
  [:> Text {:color "green"} "Hello, world! " @state])

(render (r/as-element [hello]))


Working with callbacks and promises can become tedious. Since nbb v0.0.36 the promesa.core namespace is included with the let and do! macros. An example:

(ns prom
  (:require [promesa.core :as p]))

(defn sleep [ms]
   (fn [resolve _]
     (js/setTimeout resolve ms))))

(defn do-stuff
   (println "Doing stuff which takes a while")
   (sleep 1000)

(p/let [a (do-stuff)
        b (inc a)
        c (do-stuff)
        d (+ b c)]
  (prn d))
$ nbb prom.cljs
Doing stuff which takes a while
Doing stuff which takes a while

Also see API docs.


Since nbb v0.0.75 applied-science/js-interop is available:

(ns example
  (:require [applied-science.js-interop :as j]))

(def o (j/lit {:a 1 :b 2 :c {:d 1}}))

(prn (j/select-keys o [:a :b])) ;; #js {:a 1, :b 2}
(prn (j/get-in o [:c :d])) ;; 1

Most of this library is supported in nbb, except the following:

  • destructuring using :syms
  • property access using .-x notation. In nbb, you must use keywords.

See the example of what is currently supported.


See the examples directory for small examples.

Also check out these projects built with nbb:


See API documentation.

Migrating to shadow-cljs

See this gist on how to convert an nbb script or project to shadow-cljs.



  • babashka >= 0.4.0
  • Clojure CLI >=
  • Node.js 16.5.0 (lower version may work, but this is the one I used to build)

To build:

  • Clone and cd into this repo
  • bb release

Run bb tasks for more project-related tasks.

Download Details:
Author: borkdude
Download Link: Download The Source Code
Official Website: 
License: EPL-1.0

#node #javascript

Aria Barnes

Aria Barnes


Why use Node.js for Web Development? Benefits and Examples of Apps

Front-end web development has been overwhelmed by JavaScript highlights for quite a long time. Google, Facebook, Wikipedia, and most of all online pages use JS for customer side activities. As of late, it additionally made a shift to cross-platform mobile development as a main technology in React Native, Nativescript, Apache Cordova, and other crossover devices. 

Throughout the most recent couple of years, Node.js moved to backend development as well. Designers need to utilize a similar tech stack for the whole web project without learning another language for server-side development. Node.js is a device that adjusts JS usefulness and syntax to the backend. 

What is Node.js? 

Node.js isn’t a language, or library, or system. It’s a runtime situation: commonly JavaScript needs a program to work, however Node.js makes appropriate settings for JS to run outside of the program. It’s based on a JavaScript V8 motor that can run in Chrome, different programs, or independently. 

The extent of V8 is to change JS program situated code into machine code — so JS turns into a broadly useful language and can be perceived by servers. This is one of the advantages of utilizing Node.js in web application development: it expands the usefulness of JavaScript, permitting designers to coordinate the language with APIs, different languages, and outside libraries.

What Are the Advantages of Node.js Web Application Development? 

Of late, organizations have been effectively changing from their backend tech stacks to Node.js. LinkedIn picked Node.js over Ruby on Rails since it took care of expanding responsibility better and decreased the quantity of servers by multiple times. PayPal and Netflix did something comparative, just they had a goal to change their design to microservices. We should investigate the motivations to pick Node.JS for web application development and when we are planning to hire node js developers. 

Amazing Tech Stack for Web Development 

The principal thing that makes Node.js a go-to environment for web development is its JavaScript legacy. It’s the most well known language right now with a great many free devices and a functioning local area. Node.js, because of its association with JS, immediately rose in ubiquity — presently it has in excess of 368 million downloads and a great many free tools in the bundle module. 

Alongside prevalence, Node.js additionally acquired the fundamental JS benefits: 

  • quick execution and information preparing; 
  • exceptionally reusable code; 
  • the code is not difficult to learn, compose, read, and keep up; 
  • tremendous asset library, a huge number of free aides, and a functioning local area. 

In addition, it’s a piece of a well known MEAN tech stack (the blend of MongoDB, Express.js, Angular, and Node.js — four tools that handle all vital parts of web application development). 

Designers Can Utilize JavaScript for the Whole Undertaking 

This is perhaps the most clear advantage of Node.js web application development. JavaScript is an unquestionable requirement for web development. Regardless of whether you construct a multi-page or single-page application, you need to know JS well. On the off chance that you are now OK with JavaScript, learning Node.js won’t be an issue. Grammar, fundamental usefulness, primary standards — every one of these things are comparable. 

In the event that you have JS designers in your group, it will be simpler for them to learn JS-based Node than a totally new dialect. What’s more, the front-end and back-end codebase will be basically the same, simple to peruse, and keep up — in light of the fact that they are both JS-based. 

A Quick Environment for Microservice Development 

There’s another motivation behind why Node.js got famous so rapidly. The environment suits well the idea of microservice development (spilling stone monument usefulness into handfuls or many more modest administrations). 

Microservices need to speak with one another rapidly — and Node.js is probably the quickest device in information handling. Among the fundamental Node.js benefits for programming development are its non-obstructing algorithms.

Node.js measures a few demands all at once without trusting that the first will be concluded. Many microservices can send messages to one another, and they will be gotten and addressed all the while. 

Versatile Web Application Development 

Node.js was worked in view of adaptability — its name really says it. The environment permits numerous hubs to run all the while and speak with one another. Here’s the reason Node.js adaptability is better than other web backend development arrangements. 

Node.js has a module that is liable for load adjusting for each running CPU center. This is one of numerous Node.js module benefits: you can run various hubs all at once, and the environment will naturally adjust the responsibility. 

Node.js permits even apportioning: you can part your application into various situations. You show various forms of the application to different clients, in light of their age, interests, area, language, and so on. This builds personalization and diminishes responsibility. Hub accomplishes this with kid measures — tasks that rapidly speak with one another and share a similar root. 

What’s more, Node’s non-hindering solicitation handling framework adds to fast, letting applications measure a great many solicitations. 

Control Stream Highlights

Numerous designers consider nonconcurrent to be one of the two impediments and benefits of Node.js web application development. In Node, at whatever point the capacity is executed, the code consequently sends a callback. As the quantity of capacities develops, so does the number of callbacks — and you end up in a circumstance known as the callback damnation. 

In any case, Node.js offers an exit plan. You can utilize systems that will plan capacities and sort through callbacks. Systems will associate comparable capacities consequently — so you can track down an essential component via search or in an envelope. At that point, there’s no compelling reason to look through callbacks.


Final Words

So, these are some of the top benefits of Nodejs in web application development. This is how Nodejs is contributing a lot to the field of web application development. 

I hope now you are totally aware of the whole process of how Nodejs is really important for your web project. If you are looking to hire a node js development company in India then I would suggest that you take a little consultancy too whenever you call. 

Good Luck!

Original Source

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Hire Dedicated Node.js Developers - Hire Node.js Developers

If you look at the backend technology used by today’s most popular apps there is one thing you would find common among them and that is the use of NodeJS Framework. Yes, the NodeJS framework is that effective and successful.

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WebClues Infotech offers different levels of experienced and expert professionals for your app development needs. So hire a dedicated NodeJS developer from WebClues Infotech with your experience requirement and expertise.

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Top organizations and start-ups hire Node.js developers from SISGAIN for their strategic software development projects in Illinois, USA. On the off chance that you are searching for a first rate innovation to assemble a constant Node.js web application development or a module, Node.js applications are the most appropriate alternative to pick. As Leading Node.js development company, we leverage our profound information on its segments and convey solutions that bring noteworthy business results. For more information email us at

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Coy  Roberts

Coy Roberts


Node js Algolia Search Tutorial

Node js Algolia Search Tutorial is today’s leading topic. For this example, we do not use express.js . Just see an overview of how we can integrate algolia search and index the data. Also, we fetch the data and display inside the node.js console based on the query. We start this example by installing npm package and then create an account in algolia and then grab the api keys. After that, we programmatically index the data into the database and then query that data. Display that data in the node.js console. In a real-time application, we send an ajax request containing our query and then in response, we get an array of data and loop through in frontend and display the data. Let us start** Node js Algolia Search Tutorial**  with an example.

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