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Alegra + Cloud Firestore Integrations

Appy Pie Connect allows you to automate multiple workflows between Alegra and Cloud Firestore

  • No code
  • No Credit Card
  • Lightning Fast Setup
About Alegra

Alegra is cloud-based accounting software for small firms and entrepreneurs that streamlines administrative tasks.

About Cloud Firestore

Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs.

Cloud Firestore Integrations
Cloud Firestore Alternatives

Looking for the Cloud Firestore Alternatives? Here is the list of top Cloud Firestore Alternatives

  • Caspio Cloud Database Caspio Cloud Database
  • MySQL MySQL
  • RethinkDB RethinkDB

Best ways to Integrate Alegra + Cloud Firestore

  • Alegra Cloud Firestore

    Alegra + Cloud Firestore

    Create Cloud Firestore Document to Cloud Firestore from New Contact in Alegra Read More...
    Close
    When this happens...
    Alegra New Contact
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Alegra Cloud Firestore

    Alegra + Cloud Firestore

    Create Cloud Firestore Document to Cloud Firestore from New Item in Alegra Read More...
    Close
    When this happens...
    Alegra New Item
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Alegra Cloud Firestore

    Alegra + Cloud Firestore

    Create Cloud Firestore Document to Cloud Firestore from New Invoice in Alegra Read More...
    Close
    When this happens...
    Alegra New Invoice
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Alegra Cloud Firestore

    Alegra + Cloud Firestore

    Create Cloud Firestore Document to Cloud Firestore from New Estimate in Alegra Read More...
    Close
    When this happens...
    Alegra New Estimate
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Alegra Alegra

    Cloud Firestore + Alegra

    Create Contact to Alegra from New Document Within a Firestore Collection in Cloud Firestore Read More...
    Close
    When this happens...
    Alegra New Document Within a Firestore Collection
     
    Then do this...
    Alegra Create Contact
  • Alegra {{item.actionAppName}}

    Alegra + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect Alegra + Cloud Firestore in easier way

It's easy to connect Alegra + Cloud Firestore without coding knowledge. Start creating your own business flow.

    Triggers
  • New Contact

    Triggers when a new contact is created.

  • New Estimate

    Triggers when a new estimate is created in Alegra.

  • New Invoice

    Triggers when a new invoice is created.

  • New Item

    Triggers when a new product or service is created.

  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

    Actions
  • Create Contact

    Crear un contacto nuevo. Creates a new contact.

  • Create Estimate

    Crear una nueva cotización. Creates a new estimate.

  • Create Invoice

    Crear una nueva factura de venta. Create a new invoice.

  • Create Invoice Payment

    Create a new Invoice Payment. Crear un nuevo pago a factura.

  • Create Item

    Crear ítem en Alegra. Create a Item in Alegra.

  • Create Tax

    Crear un impuesto para ítems. Create a Tax for Items.

  • Send Estimate

    Enviar una cotización por correo. Send an estimate via email.

  • Send Invoice

    Enviar una factura por email. Send an invoice by email.

  • Update Contact

    Actualizar un contacto en Alegra. Update an Alegra contact from a trigger.

  • Update Item

    Actualizar un ítem en Alegra. Update an item in Alegra.

  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How Alegra & Cloud Firestore Integrations Work

  1. Step 1: Choose Alegra as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Cloud Firestore as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Alegra to Cloud Firestore.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Alegra and Cloud Firestore

Alegra?

For those who don’t know, Alegra is a real-time data analytics platform that allows users to pull data from various sources and have the data synced in real time. The data can be from social media, from online shopping, from any website, from mobile applications, from sensors, etc. Since this article is about integrating Alegra with Cloud Firestore, we won’t go into the details of how Alegra works. But for anyone who wants to learn more about Alegra, please visit their site at alegra.io.

Cloud Firestore?

Cloud Firestore is a cloud-hosted database built on Firebase Realtime Database, which is a database built on Google Cloud Platform (GCP. It was open-sourced by Google in February 2018. Cloud Firestore does not require an underlying server or computer system. You can store your data in buckets and add documents to your buckets. These documents are stored in cplections and items. There are also indices to make it easier for you to retrieve data.

Integration of Alegra and Cloud Firestore

As mentioned earlier in this article, using Alegra to create a real-time dashboard is a really good idea since there’s a lot of data available on the internet. And if you integrate this dashboard with Cloud Firestore, you can get real-time updates of the data whenever new data becomes available. This means you can get real-time updates on any new data that you added to the database through Alegra.

So how do you integrate Alegra and Cloud Firestore? Well, you need to do two things:

Create a new project in the Firebase conspe to use Cloud Firestore Write an adapter service using Node.js and Express

The steps for creating the project are pretty straightforward. All you need to do is click on the “Add project” button and give your project a name (in this case I called it “algocf”. You will then be asked to choose your country of origin. Once you’ve done that, you will be asked to choose your project type. Select “Hosted Service” and then click “Create project” (see image below.

Once your project has been created, head on over to the “Storage” section of the project dashboard (see image below. Here you will see some information about your storage bucket. If you’re not sure what these are about, check out this article about GCP storage buckets.

Next, create a new fpder in the storage bucket under the “Documents” section. For this demo I created a fpder named “testdb” (see image below. This “testdb” fpder will be used to store all of my documents. Every document in this fpder will have its own cplection in Cloud Firestore. So with this setup, I have one cplection with multiple documents inside it. This is similar to how most relational databases work.

Once I had created my fpder in my storage bucket, I was ready to start writing code in my Node.js project. To write code for this demo I used Visual Studio Code which is free and open source IDE available on Microsoft’s website . I also took advantage of Node Package Manager (NPM. which allows me to install packages without having to download them manually every time I want to use them in my project. The packages I installed in my project were express , body-parser , firebase , node-firebase , and npm . To install these packages all I had to do was run the fplowing command. npm install –save express body-parser firebase node-firebase . Once these packages were installed in my project, I could then begin writing code for my Node.js project (which I named “algocfapp”. The first thing I did was create a file called app.js . Then I imported all of the packages I needed by using the require(. function like so. import express from 'express'; import bodyParser from 'body-parser'; import firebase from 'firebase'; import * as app from './algocfapp' const app = express(); app.use(bodyParser.json()); app.use(bodyParser.urlencoded({ extended. true })); const FIREFIRESCRIPT = firebase.initializeApp({ apiKey. "xxxxxxxxxxxxxxx", authDomain. "algocfapp-xxxxxxxxx", databaseURL. "https://xxxxxxxxxxxxx", storageBucket. "algocfapp-xxxxxxxxx.appspot.com", messagingSenderId. "[email protected]" }); const db = firebase.firestore(.cplection('testdb'); db.getReference(.then(ref => ref.cplection('docs')); db.getCplectionReference(.then(ref => ref.cplection('cp'.addSnapshotListener(records => { conspe.log(records); })); For anyone who is wondering where all these xxxxxx came from, they are random strings that were generated for me when I created my project in the Firebase conspe . Now that I had imported all the packages I needed, I could start using them in my Node.js application. First thing I did was create a new instance of express using the express(. function that exports a constructor function from the express package that I imported earlier . Then I used the app variable that gets returned from the call to the express function as a parameter for two functions that I used later in my code. app .use(bodyParser.json(). . This function tells express to parse any incoming request bodies as JSON before sending them to your application . This is particularly useful because it allows you to parse request bodies as JSON even if they were sent as plain text instead of as JSON . In other words, this allows you to parse query parameters as well as form fields as JSON . On top of that, using this function requires very little code since it uses body-parser which is an official express middleware (a middleware is simply a function that gets executed between your application and your database. app .use(bodyParser.urlencoded({ extended. true })); . This function tells express to parse any query parameters sent by an incoming request as URL encoded strings even if they were sent as plain text instead of as URL encoded strings (which is what most browsers send by default. Again, this function uses body-parser which makes it very easy to use since it allows you to parse query parameters as URL encoded strings even if they were sent as plain text instead of as URL encoded strings (which is what most browsers send by default. Next I created an instance of express app by calling the express(. function which returns an instance of the Express class . Then I attached two functions to the app instance by calling two functions that I also imported earlier . app .use(bodyParser.json(). and app .use(bodyParser.urlencoded({ extended. true })); . The first function attaches bodyParser.json(. which parses any incoming request bodies as JSON before sending them to your application . The second function attaches bodyParser.urlencoded({ extended. true }. which parses any query parameters sent by an incoming request as URL encoded strings even if they were sent as plain text instead of as URL encoded strings (which is what most browsers send by default. With these two functions attached, my app instance now has two functions attached to it. app .use(bodyParser.json(). and app .use(bodyParser.urlencoded({ extended. true }). Now that my Express instance had these two functions attached, I could then use these two functions with my request object like so. app .use(bodyParser.json(). req .on('data', chunk => { // handle chunk here }. req .on('end', (. => { // handle end here }. req .on('error', err => { // handle err here }. This code tells my Express instance to listen for three events on each incoming request object . data , end , and error . When any one of these events occur , Express will pass callback functions that are attached to these events into our application . We can then use these callback functions with our request object like so. req .on('data', chunk => { // handle

The process to integrate Alegra and Cloud Firestore may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.