⚙️ Quick Tutorial: APIs Explained — Build and Consume REST API

⚙️ Quick Tutorial: APIs Explained — Build and Consume REST APIs using TradingView

APIs power the digital world — from your favorite apps fetching data to live trading dashboards updating in seconds.

In this quick tutorial by AI Computer Classes – Indore, you’ll learn what APIs are, how REST APIs work, and how to build and consume APIs using TradingView.

By the end, you’ll be able to connect real-time financial data with your own applications confidently — a crucial skill for modern programmers and traders alike.

💡 What Is an API?

API (Application Programming Interface) is a communication bridge between two software systems.

It allows one application to send requests and receive responses from another.

For example:

• Your app requests live price data from TradingView’s server.
• The server responds with a JSON dataset containing prices, charts, and trading indicators.

🌐 Understanding REST APIs

REST (Representational State Transfer) APIs are the most common type used on the web.

They use standard HTTP methods to communicate:

MethodPurposeExampleGETRetrieve dataFetch stock pricePOSTSend dataSubmit trade orderPUTUpdate dataModify user profileDELETERemove dataDelete an alert

💡 REST APIs communicate using JSON (JavaScript Object Notation) — a simple, lightweight format for data exchange.

⚙️ Step 1: Build a Simple REST API

Let’s start with a basic example in Python (Flask):

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/api/price', methods=['GET'])
def get_price():
    data = {
        "symbol": "BTCUSD",
        "price": 68250.75,
        "source": "TradingView"
    }
    return jsonify(data)

if __name__ == '__main__':
    app.run(debug=True)

✅ Run this file and visit http://localhost:5000/api/price —

you’ll get a JSON response like:

{"symbol": "BTCUSD", "price": 68250.75, "source": "TradingView"}

That’s your first REST API endpoint! 🎉

⚙️ Step 2: Consume an API Using Python

Now, let’s fetch real market data using TradingView or similar APIs:

import requests

url = "https://api.tradingview.com/markets"
response = requests.get(url)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print("Error fetching data:", response.status_code)

💬 This script makes a GET request, reads the JSON response, and displays it.

🧭 Step 3: Connecting TradingView Charts via API

TradingView allows embedding or connecting to charts and signals using APIs.

You can display live market data on your own dashboard by integrating their API keys.

Example (JavaScript):

fetch('https://api.tradingview.com/data/markets')
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

Once fetched, this data can be visualized using:

• Power BI for dashboards
• Excel for simple analytics
• Python (Matplotlib) for trend visualization

🔍 Step 4: Test Your API with Tools

Use these tools to verify your API’s behavior:

• Postman: Send GET/POST requests and inspect responses visually
• Curl: Command-line testing for API endpoints
• ChatGPT: Ask to auto-generate example API request scripts or documentation

Example Postman request:

GET https://api.tradingview.com/markets
Headers: Content-Type: application/json

📊 Step 5: Visualize API Data with Power BI

You can connect Power BI directly to your REST API to create live dashboards.

Steps:

1. Open Power BI → Get Data → Web.
2. Paste your API endpoint (e.g., http://localhost:5000/api/price).
3. Transform and model the data.
4. Create visual charts like “Live BTC Price Tracker.”

🧠 API Integration Ideas

Here are practical ways to apply what you’ve learned:

• 💹 Create a TradingView-based portfolio tracker.
• 📈 Build an alert system using API + Python automation.
• 🧾 Automate trade logs in Google Sheets or Excel via API calls.
• ⚡ Generate analytics dashboards using Power BI or Flask web apps.

🧩 Common API Challenges

IssueCauseSolution❌ 401 UnauthorizedMissing API keyAdd headers correctly⚠️ 404 Not FoundWrong endpointCheck API documentation🐢 Slow ResponsePoor optimizationAdd pagination or caching💥 JSON ErrorInvalid formatValidate request/response schema

🧮 Example: Combine APIs in a Mini Project

Here’s how you can use multiple APIs together:

• TradingView API → fetch live stock/crypto data
• Flask API → process or filter data
• Power BI → visualize trends and alerts

This workflow helps you build a full-stack data pipeline — from fetching to analysis.

🎓 Learn Practically at AI Computer Classes – Indore

At AI Computer Classes – Indore, you’ll:

• Learn REST API development hands-on using Python, JavaScript, and WordPress
• Integrate APIs with TradingView and Power BI
• Automate dashboards and build data-driven web tools
• Practice real-world coding projects step-by-step

Whether you’re a beginner or a developer wanting to scale up — you’ll gain practical, job-ready API skills.

🌟 Final Thoughts

APIs connect the digital world — and understanding how to build and consume them unlocks endless automation possibilities.

By using TradingView APIs, you can transform your programming skills into real-world financial tools.

Keep experimenting, integrate new APIs, and visualize smarter — because that’s where code meets creativity.

📞 Contact AI Computer Classes – Indore

✉ Email: hello@aicomputerclasses.com

📱 Phone: +91 91113 33255

📍 Address: 208, Captain CS Naidu Building, near Greater Kailash Road, opposite School of Excellence For Eye, Opposite Grotto Arcade, Old Palasia, Indore, Madhya Pradesh 452018

🌐 Website: www.aicomputerclasses.com