To automate data extraction from multiple Excel files and consolidate them into a single CSV file using Python, we can use the pandas library, which is powerful for data manipulation and analysis. Here's a custom Python script for you: import pandas as pd import os def extract_and_consolidate_excel(directory_path, output_csv): """ Extract data from multiple Excel files in a directory and consolidate into a single CSV file. Args: - directory_path (str): The path to the directory containing the Excel files. - output_csv (str): The filename for the output CSV file. Returns: - None """ # Initialize an empty DataFrame to store consolidated data consolidated_data = pd.DataFrame() # List all files in the directory files = os.listdir(directory_path) # Iterate over each file in the directory for filename in files: if filename.endswith('.xlsx') or filename.endswith('.xls'): # Read Excel file into a DataFrame excel_data = pd.read_excel(os.path.join(directory_path, filename)) # Concatenate the current DataFrame with the consolidated DataFrame consolidated_data = pd.concat([consolidated_data, excel_data], ignore_index=True) # Write consolidated data to a CSV file consolidated_data.to_csv(output_csv, index=False) print("Data extraction and consolidation complete. CSV file saved as:", output_csv) # Example usage: directory_path = "/path/to/excel/files/directory" output_csv = "consolidated_data.csv" extract_and_consolidate_excel(directory_path, output_csv) ---------------------------------------------------------------------------------------------------------------------- To use this script, replace "/path/to/excel/files/directory" with the path to the directory containing your Excel files, and "consolidated_data.csv" with the desired filename for the output CSV file. Then run the script, and it will extract data from all Excel files in the directory and consolidate them into a single CSV file.