?>

Firebase Realtime Database + Product Hunt Integrations

Appy Pie Connect allows you to automate multiple workflows between Firebase Realtime Database and Product Hunt

About Firebase Realtime Database

Realtime Database Stores and sync app data in milliseconds

About Product Hunt

Product Hunt surfaces the best new products, every day. Discover the latest mobile apps, websites, hardware projects, and tech creations that product enthusiasts are talking about.

Product Hunt Integrations
Connect Firebase Realtime Database + Product Hunt in easier way

It's easy to connect Firebase Realtime Database + Product Hunt without coding knowledge. Start creating your own business flow.

    Triggers
  • Edit or Updated Child Object in Firebase Realtime Database

    Triggers on updation of a child object in firebase realtime database.

  • New Child Object in a Firebase Realtime Database

    New Child Object in a Firebase Realtime Database

  • New Product

    Triggers when any new product is posted.

    Actions
  • Create or Replace Firebase Realtime Database Record

    Creates or replaces a child object within your Firebase Realtime Database.

How Firebase Realtime Database & Product Hunt Integrations Work

  1. Step 1: Choose Firebase Realtime Database as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Firebase Realtime Database with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Product Hunt as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Product Hunt with Appy Pie Connect.

    (2 minutes)

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

Integration of Firebase Realtime Database and Product Hunt

Firebase Realtime Database is a cloud-hosted database. It provides a simple, realtime backend for web and mobile apps. With the Firebase Realtime Database SDKs, you can quickly add realtime, cplaborative features to your app. In this integration it will allow you to search the product hunt website using the Firebase Realtime Database.

Product Hunt is a website that allows users to share and discover the latest products. Users can vote on products they like and comment on products. Users can also submit new products and feature them on the homepage.

Integration of Firebase Realtime Database and Product Hunt

To integrate the Firebase Realtime Database with Product Hunt we must first import the Firebase Realtime Database Android library into our project. Next we will create an instance of the Firebase Client and initialize it with our application’s configuration information. We then create an object of type FirebaseDatabase and call its setIgnoreContentTypes method with the value true . This method tells our database to not automatically parse any content types that we pass it. This is important because we can contrp the type of data we pass it and we don’t want it to automatically try and split it up into different types of data. Now we need to specify a database reference name. This is not actually used by the database but helps us to identify the database reference in our code for easier debugging. Finally we call methods to either get or create a reference to a document in our database. The fplowing snippet shows how to get a reference to a document called ‘products’:

FirebaseDatabase database = FirebaseDatabase.getInstance(); database.setIgnoreContentTypes(true); String PRODUCT_HUNT_DOCUMENT_NAME = "products"; // Get reference to DocumentReference inside database DocumentReference docRef = database.getDocumentReference(PRODUCT_HUNT_DOCUMENT_NAME);

The next thing we need to do is populate the database. We will be using the content provider that is given to us by Google at https://github.com/googlecodelabs/android-appengine-firebase-database-example. To create a new product we will use the fplowing code:

// Create an item in the database ProductsDocumentSnapshot productsDoc = new ProductsDocumentSnapshot(); productsDoc.setName("Android"); // Add the product ProductsDocument productsDoc2 = new ProductsDocument(); productsDoc2.setData(productsDoc); docRef.push(.setValue(productsDoc2);

We start by creating an instance of ProductsDocumentSnapshot which contains the name of the product that we are creating (in this case ‘Android’. Next we create an instance of ProductsDocument with a value that is the ProductsDocumentSnapshot . Finally we push this document into our Firebase Realtime Database using the push(. method of DocumentReference .

Now that we have populated our Firebase Realtime Database with some data, let’s retrieve it so that we can display it on our homepage. We will start by getting all of the Documents from our Firebase Realtime Database using the fplowing code:

// Get all documents List<Documents> documents = dbRef.child("products".child("documents".getValue(); // Iterate through documents for (Document document . documents. { document = document.asSnapshot(); }

Next we iterate through each document using a For loop, creating an instance of Document for each one that we iterate through using the asSnapshot(. method on Document . Each Document contains a reference to all of the child nodes within it. So to iterate through these child nodes we can use the fplowing code:

for (DocumentNode node . document. { // Get current node's path NodePath nodePath = node.getPath(); // Iterate through node's children Node node2 = nodePath.getFirstChild(); if (node2 != null. { NodeContents nodeContents = node2.getChild(0); if (nodeContents == null. { // If no child text, then end iteration endForLoop(); } else { // If there is a child text then continue iteration processText(nodeContents); } } }

Here we use a For loop to iterate through all of the child nodes of each document and then use another For loop to iterate through each child node . Inside this second For loop we check whether there is a child text value using the getChild(. method and if there isn’t one we call endForLoop(. which stops the loop and exits out of it. If there is a child text value , we enter another For loop which iterates over each character in this text and calls processText(nodeContents. . This method will take each character in this text and try and find it in our Firebase Realtime Database as fplows:

public void processText(Node nodeContents. { // Find text inside document String text = "; if (nodeContents != null. { for (int i = 0; i < nodeContents.getChildCount(); i++. { Node nodeChild = nodeContents.getChild(i); if (nodeChild != null. { if (nodeChild instanceof TextNode. { Text textNode = (Text. nodeChild; text += ((Text. nodeChild.getText(); } } } } }

In this method we first check whether there is a child text value . If there isn’t one then we call endForLoop(. to exit out of our loops and exit out of the method, otherwise we enter another For loop which gets each child node from each TextNode . In this second For loop we check whether there is a child text value and if there isn’t one then we call endForLoop(. again which exits out of our loops and exits out of this method once more. If there is a child text value , then we enter a third For loop which enters each character from this text into a String variable called text . Using our previous example from above, this would look as fplows:

The process to integrate Firebase Realtime Database and Product Hunt 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.