🚀 Web API Automation Projects

A collection of Python-based automation projects leveraging APIs to solve real-world problems such as price tracking, flight search, stock monitoring, and more.

This repository demonstrates practical usage of:

• REST APIs
• Automation workflows
• Data extraction & processing
• Real-world integrations

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📂 Project Structure

Web_API_Automation/
│
├── AI Powered Video Summarizer
├── Automated Amazon Price Tracker
├── Flight Search Automation
├── ISS Space Station Location Tracker
├── Spotify Playlist Creation
└── U.K Stock Market Automation

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🔧 Technologies Used

• Python
• REST APIs
• Requests / HTTP libraries
• JSON handling
• Environment Variables (.env)
• Automation Scripts

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📌 Projects Overview

🎥 AI Powered Video Summarizer

• Extracts and summarizes video content automatically
• Uses AI/NLP techniques for concise summaries

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🛒 Automated Amazon Price Tracker

• Tracks product prices on Amazon
• Sends alerts when price drops
• Useful for smart purchasing decisions

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✈️ Flight Search Automation

• Fetches flight data using APIs
• Helps find cheapest or best routes
• Automates travel planning

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🌍 ISS Space Station Location Tracker

• Tracks real-time location of the ISS
• Uses open APIs to fetch coordinates
• Can be extended for notifications/visualization

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🎵 Spotify Playlist Creation

• Automates playlist creation
• Integrates with Spotify API
• Can generate playlists based on user preferences

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📈 U.K Stock Market Automation

• Fetches stock data automatically
• Useful for monitoring trends
• Can be extended with alerts or analytics

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⚙️ Setup Instructions

1. Clone the repository:

git clone https://github.com/Madhavi1108/Web_API_Automation.git
cd Web_API_Automation

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate   # (Linux/Mac)
venv\Scripts\activate      # (Windows)

3. Install dependencies:

pip install -r requirements.txt

4. Add environment variables: Create a .env file and add your API keys:

API_KEY=your_api_key_here

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🔐 Environment Variables

Some projects require API keys. Make sure to:

• Never commit .env files
• Use .gitignore
• Keep credentials secure

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🚀 How to Run

Navigate to any project folder and run:

python main.py

(Replace main.py with the respective script name if different.)

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📊 Use Cases

• Automation learning
• API integration practice
• Resume/portfolio projects
• Real-world problem solving

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🧠 Future Improvements

• Add GUI dashboards
• Integrate databases (MySQL / MongoDB)
• Deploy as web apps (Flask / FastAPI)
• Add scheduling (cron jobs)
• Implement notification systems (Email/SMS)

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🤝 Contributing

Contributions are welcome!

Steps:

1. Fork the repo
2. Create a new branch
3. Make changes
4. Submit a pull request

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