How to Make a Grep Clone in Python

Juggling between coding languages? Let our Code Converter help. Your one-stop solution for language conversion. Start now!

In this quick guide, you’ll learn how to create your own grep tool using Python. grep is a command-line tool used for searching text patterns within files and streams. grep stands for "global regular expression print." The importance of this tool cannot be overemphasized because it is very handy and saves us a lot of stress and time while bug hunting or pen-testing.

grep allows users to quickly and efficiently search through files, logs, and outputs of other commands to identify patterns of interest.

Let’s say you’re bug-hunting or pen-testing, and you discover a file that seems pretty interesting like a phpinfo.php file. If you’re familiar with PHP or web development, you know some interesting parameters to search for. Instead of manually checking the file as it could be really large, you could simply use your grep tool and search for certain parameters like SECRET_KEY. Doing this will save you a lot of time and effort.

Let’s see how to do it. First, we install colorama for colored output:

$ pip install colorama

As usual, open a Python file name it meaningfully like grep_python.py and follow along.

We start the code by importing the necessary libraries and initializing colorama:

# Import the necessary libraries.
import re, sys
from colorama import init, Fore
# Initialize colorama.
init()

re is for regular expressions, sys for system-specific functionality, and colorama for colored terminal output in Python.

Next, we create a simple function to extract patterns from a given file.

# Grep function.
def grep(pattern, filename):
    try:
        found_match = False
        with open(filename, 'r') as file:
            for line in file:
                if re.search(pattern, line):
                    # Print matching lines in green.
                    print(Fore.GREEN + line.strip() + "\n") # We are including new lines to enhance readability.
                    found_match = True
        if not found_match:
            # Print message in red if no content is found.
            print(Fore.RED + f"No content found matching the pattern '{pattern}'.")
    except FileNotFoundError:
        # Print error message in red if the file is not found.
        print(Fore.RED + f"File '{filename}' not found.")

This grep() function takes a regular expression pattern and a filename as input, searches for lines in the specified file that match the pattern, and prints them in green. If no matches are found, it prints a message in red indicating no content was found. If the specified file is not found, it prints an error message in red.

It’s that simple.

Finally, we make sure the user input from the CLI is as it is supposed to be and call the function:

if len(sys.argv) != 3:
    # Print usage message in red if the number of arguments is incorrect.
    print(Fore.RED + "Usage: python grep_python.py <pattern> <filename>")
    sys.exit(1)
pattern = sys.argv[1]
filename = sys.argv[2]
grep(pattern, filename)

That’s it! Now, let’s run our code:

$ python grep_python.py <pattern> <filename>

Note: This phpinfo.php file was obtained from one of PortSwigger's Labs. You can test your web security skills there. The scenario is that I was lucky to come across the phpinfo.php file and using our cool grep tool by searching SECRET_KEY, I obtained the secret key, saving a lot of time and effort that could be channeled to finding other bugs.

Learn also: How to Organize Files by Extension in Python.

I hope you enjoyed this one. Till next time!

Let our Code Converter simplify your multi-language projects. It's like having a coding translator at your fingertips. Don't miss out!

Read Also

How to Use the Argparse Module in Python

Master the argparse module in Python with this comprehensive tutorial, covering command-line applications, argument parsing, real-world examples, integration with other libraries, and best practices to create user-friendly interfaces and powerful command-line tools.

How to Generate Fake User Data in Python

Master Python's Faker library to generate and manage fake user data. Ideal for privacy protection and software testing, this tutorial covers creating a versatile program for realistic data generation, including saving options in CSV or TXT formats.

How to Extract Text from PDF in Python

Learn how to extract text as paragraphs line by line from PDF documents with the help of PyMuPDF library in Python.

Comment panel