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Master API Integration: Fetch and Display Users with DummyJSON & JSONPlaceholder

Linda Hamilton
Release: 2025-01-02 17:08:37
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Master API Integration: Fetch and Display Users with DummyJSON & JSONPlaceholder

Introduction
In this post, we'll build a professional and interactive user data viewer that fetches data dynamically using APIs like DummyJSON and JSONPlaceholder This step-by-step guide will help you create a stunning UI using HTML, CSS, JavaScript, animations, and keyframes. Impress your interviewers or boost your project portfolio with this practical example.

1. Overview of APIs:
We will use two APIs for fetching user data:

  • DummyJSON: A versatile API providing mock user data with details like name, gender, company, and address. Explore DummyJSON API here.
  • JSONPlaceholder: Another excellent API for testing with mock user data. Check JSONPlaceholder API here.

2. Setting Up the Project:
Prerequisites:
Basic understanding of HTML, CSS, and JavaScript.
A code editor (like VS Code).
A modern web browser.
Steps:
Create a project folder and include the following files:
index.html
style.css
script.js
Link the CSS and JavaScript files in your index.html.

3. Building the User Interface:
We'll create a responsive UI with the following sections:

Header: Displays the project title.
Filters: Buttons to filter users by gender or department.
User List: Shows user names dynamically loaded from the API.
Popup: Displays user details when a name is clicked.

4. Fetching Data from APIs:
Use the Fetch API in JavaScript to get data:

fetch('https://dummyjson.com/users')
  .then((response) => response.json())
  .then((data) => {
    const users = data.users;
    console.log(users); // Display the user data in the console
  });

Copy after login

5. Implementing Filtering and Popup Features:
Filtering:
Add buttons for filtering users by gender or department. Use JavaScript to display filtered data dynamically.

Popup:
Create a popup window using HTML and CSS animations to show detailed user information, including personal details, company, and years of experience.

6. Conclusion and Next Steps:
Congratulations! You've built a professional user data viewer with filtering and popup functionality.

Next Steps:
Add sorting options for users (e.g., alphabetical, by department).
Enhance with more animations and themes.
Deploy your project online (Netlify or GitHub Pages).

Resources:
DummyJSON Documentation
JSONPlaceholder API
CSS Keyframes Guide

Project Resources
GitHub Repository : Dynamic User Data Viewer Project
Live Demo : View the Live Project Here

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