Automatizando Leitura e Extração de Dados em PDFs com Python - Python + PDF + Excel + SQL - Parte #1

Introduction

This tutorial will guide you through the process of automating the extraction of data from PDF documents using Python. We will cover how to read and extract data, save it into an Excel file, and insert it into a MySQL database. This series emphasizes robust practices, including error handling and function creation.

Step 1: Setting Up Your Environment

To start, ensure you have the necessary tools and libraries installed.

• Install Python: Make sure you have Python installed on your machine. You can download it from python.org.
• Install Required Libraries: Use the following commands to install the necessary libraries:

  pip install pandas PyPDF2 openpyxl mysql-connector-python
  

• Download Sample PDFs: Access the sample PDFs and Python script from the GitHub repository: GitHub - read_pdf_python.

Step 2: Reading PDF Files

Now that your environment is set up, let's read data from the PDF files.

• Import Necessary Libraries:

  import PyPDF2
  import pandas as pd
  

Open and Read the PDF:

with open('path_to_your_pdf.pdf', 'rb') as file

reader = PyPDF2.PdfReader(file) text = ''

for page in reader.pages

text += page.extract_text()

Step 3: Extracting Data

After reading the text from the PDF, you'll need to extract the relevant data.

• Define Extraction Logic: Identify patterns in the text to efficiently extract the data you need. Use string operations or regular expressions.
• Example Extraction:

  data_lines = text.split('\n')
  extracted_data = [line for line in data_lines if 'specific_keyword' in line]
  

Step 4: Saving Data to Excel

Once you have the extracted data, you can save it to an Excel file.

• Create a DataFrame:

  df = pd.DataFrame(extracted_data, columns=['Column_Name'])
  

• Write to Excel:

  df.to_excel('output_file.xlsx', index=False)
  

Step 5: Inserting Data into MySQL Database

The final step is to insert the extracted data into a MySQL database.

• Set Up MySQL Connection:

  import mysql.connector
  
  db_connection = mysql.connector.connect(
      host='your_host',
      user='your_username',
      password='your_password',
      database='your_database'
  )
  cursor = db_connection.cursor()
  

Insert Data:

for data in extracted_data

cursor.execute('INSERT INTO your_table (column_name) VALUES (%s)', (data,)) db_connection.commit() cursor.close() db_connection.close()

Conclusion

In this tutorial, we covered the automation of data extraction from PDFs using Python, saving that data to an Excel file, and inserting it into a MySQL database.

Key Takeaways

• Ensure your Python environment is set up with the necessary libraries.
• Use PyPDF2 for reading PDF files and extracting text.
• Utilize Pandas for data manipulation and Excel file creation.
• Finally, connect to your MySQL database to store the extracted data.

Next Steps

Explore more advanced topics like error handling, logging, and optimizing your code for larger datasets. Consider diving into the additional resources mentioned in the video description for further learning on RPA and database management.