💀 How to encrypt a PDF with a password using Python

Ready Python script: takes a regular PDF and creates a password-protected copy.

📦 Library installation

pip install PyPDF2

⌨️ Code

from __future__ import annotations
from pathlib import Path
from typing import Union

from PyPDF2 import PdfReader, PdfWriter

PDFPath = Union[str, Path]


def encrypt_pdf(input_path: PDFPath, output_path: PDFPath, password: str) -> Path:
    """
    Encrypts a PDF file with a password and saves it to output_path.
    Returns the path to the encrypted file.
    """
    in_path = Path(input_path)
    out_path = Path(output_path)

    reader = PdfReader(in_path)
    writer = PdfWriter()

    for page in reader.pages:
        writer.add_page(page)

    writer.encrypt(password)

    with out_path.open("wb") as f:
        writer.write(f)

    return out_path


def encrypt_with_suffix(input_path: PDFPath, password: str, suffix: str = "_encrypted") -> Path:
    """
    Creates an encrypted copy next to the original file.
    For example: secret.pdf → secret_encrypted.pdf
    """
    in_path = Path(input_path)
    output_path = in_path.with_name(f"{in_path.stem}{suffix}{in_path.suffix}")
    return encrypt_pdf(in_path, output_path, password)


if __name__ == "__main__":
    pdf_file = "secret.pdf"
    pdf_password = "pythontoday"

    encrypted_path = encrypt_with_suffix(pdf_file, pdf_password)
    print(f"Encrypted file created: {encrypted_path}")

💡 Where it will be useful

🟢send a document to a client with the password via a separate channel;
🟢store important PDFs in encrypted form;
🟢integrate encryption into your service/bot/admin panel.

#python #code #tipsandtricks

https://t.iss.one/DataScience4 🌟

Oxylabs is a fairly well-known company in the web scraping field with ten years of experience.

They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.

Here is a simple example of parsing Bing results:

from oxylabs import RealtimeClient

# Specify credentials for Oxylabs API authorization
username = "username"
password = "password"

# Create a Realtime client with our credentials
client = RealtimeClient(username, password)

# Use bing_search to get Bing results for the query "nike"
result = client.bing.scrape_search("nike")

# Print raw data (as is)
print(result.raw)

Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:

- Amazon
- Google
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Transcript

You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub

👉  @DataScience4