How To Build A Django Website That Pulls API Data

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How To Build A Django Website that pulls data from an API (Application Programming Interface) can be a useful way to bring external data into your web application. This can be particularly useful if you want to display real-time information or data from a third-party source.

In this tutorial, we will walk through the steps of building a Django website that pulls data from an API using Django Rest Framework (DRF).

Before we begin, it’s important to note that this tutorial assumes that you have some familiarity with Django and Python. If you are new to these technologies, you may want to first familiarize yourself with the basics before proceeding.

Step 1: Set up your Django project: Build A Django Website

The first step in building our Django website is to set up a new Django project. Because to do this, you will need to have Django installed on your machine. If you don’t already have Django installed, you can install it by running the following command:

  • pip install django
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  • Once Django is installed, you can create a new Django project by running the following command:
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  • django-admin startproject myproject
  • This will create a new directory called my project with the basic Django files and directories.

Step 2: Set up a Django app

Next, we need to set up a Django app within our project. A Django app is a self-contained web application that performs a specific function within your project. To create a new app, navigate to the root directory of your project and run the following command:

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  • python manage.py startapp myapp
  • This will create a new directory called myapp with the basic files and directories needed for a Django app.

Step 3: Install Django Rest Framework

Now that we have a Django project and app set up, we need to install Django Rest Framework (DRF), which is a powerful toolkit for How To Build A Django Website. To install DRF, run the following command:

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  • pip install djangorestframework

Step 4: Configure your Django app to use DRF

Then next, we need to configure our Django app to use DRF. To do this, open the myapp/settings.py file and add rest framework to the INSTALLED_APPS list:

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  • INSTALLED_APPS = [ … ‘rest framework’, ]

Step 5: Define your API endpoint: Build A Django Website

Now that our Django app is set up to use DRF, we can start defining our API endpoint. An API endpoint is a URL that exposes data or functionality through an API.

In our case, we want to define an endpoint that retrieves data from an external API and returns it to our Django website.

To define an API endpoint in DRF, we need to create a Serializer and a ViewSet. A Serializer is a class that defines how data should be formatted when it is returned from the API. A ViewSet is a class that defines the behavior of the API endpoint.

To create a Serializer and a ViewSet for our API endpoint, create a new file called api.py in the myapp directory and add the following code:

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  • from rest_framework import serializers, viewsets
  • class DataSerializer(serializers.Serializer):
  • data = serializers.CharField()
  • class DataViewSet(viewsets.ViewSet):

How to get data from an API in Django?

To get data from an API in Django, you will need to make an HTTP request to the API’s endpoint. There are several ways to make HTTP requests in Django, but the most common method is to use the requests library.

To use the requests library, you will first need to install it by running the following command:

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  • pip install requests

Once requests is installed, you can use it to make HTTP requests in your Django code. For example, to make a GET request to an API endpoint, you can use the following code:

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  • import requests response = requests.get(‘https://api.example.com/endpoint’)
  • if response.status_code == 200:
  • data = response.json()

This code makes a GET request to the https://api.example.com/endpoint URL and stores the response in the response variable. If the request is successful (i.e. the API returns a status code of 200), the data variable will contain the data returned by the API as a Python dictionary.

You can also use the requests library to make other types of HTTP requests, such as POST, PUT, and DELETE requests. For more information, you can refer to the requests library documentation.

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