🎬 IMDb API Data Extraction using Python & Pandas

📌 Project Description

This project demonstrates how to fetch movie data from the IMDb API, convert the JSON response into a Pandas DataFrame, select only the required columns, and export the cleaned data into a CSV file.

It represents a practical API-to-CSV data pipeline, commonly used in data analytics and data engineering workflows.

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⚙️ Technologies Used

• Python
• Requests
• Pandas
• IMDb API (via RapidAPI)

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🔄 Data Workflow

1. Send a GET request to the IMDb API using requests
2. Receive data in JSON format
3. Convert JSON data into a Pandas DataFrame
4. Select only relevant columns
5. Save the processed data as a CSV file

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📂 Project Structure

├── py.ipynb ├── imdb_titles.csv └── README.md

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📊 Output

• A structured CSV file containing selected IMDb movie details
• Ready for EDA, visualization, or dashboard creation

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🎯 Use Cases

• Movie data analysis
• API data extraction practice
• Data analyst portfolio project
• Learning JSON to DataFrame conversion

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🚀 Possible Enhancements

• Handle pagination for larger datasets
• Add error handling for API failures
• Automate data updates
• Store data in a database instead of CSV