📄 PDF Data Extraction with Tabula

This project demonstrates how to extract tabular data from PDF files using the Tabula library in Python.
The provided example reads a PDF file and converts a specified page into a CSV format.

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📑 Table of Contents

• Installation
• Usage
• Example Code
• Requirements
• License

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🚀 Installation

To use this project, ensure you have Python installed.
Then, install the required library:

pip install tabula-py

⚠ Note: You also need to have Java installed, as Tabula runs on Java.

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💻 Usage

1️⃣ Place your target PDF file in the project directory.

2️⃣ Run the Python script to extract tables.

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📂 Example Code

import tabula

# Specify your PDF file path
pdf_path = "your_file.pdf"

# Read tables from the PDF (first page by default)
tables = tabula.read_pdf(pdf_path, pages='1', multiple_tables=True)

# Convert each table to CSV
for i, table in enumerate(tables):
    csv_filename = f"output_table_{i + 1}.csv"
    table.to_csv(csv_filename, index=False)
    print(f"Saved {csv_filename}")

✅ Key Points:

• pages='1': reads the first page; change to 'all' to extract from all pages.
• multiple_tables=True: extracts all tables from the page.

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📦 Requirements

• Python 3.x
• Java (installed and in your system path)
• tabula-py library

Install dependencies:

pip install tabula-py

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📝 License

This project is licensed under the MIT License.

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💡 Tip: For large or complex PDFs, you can adjust Tabula options like area, guess, or lattice for better extraction accuracy.

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Happy data extracting! 🚀