


Building an Availability Checker for Refurbished Steam Decks in Europe
Securing a refurbished Steam Deck in Europe can be challenging due to fluctuating stock. This Python-based availability checker automates the process, providing real-time notifications when refurbished units appear. This post details the project's technical implementation and encourages community contributions.
Project Overview
This Python script monitors Steam's store for refurbished Steam Deck availability in Europe. Leveraging the ntfy notification service, it instantly alerts users when stock becomes available. The project showcases efficient problem-solving using readily available Python libraries and APIs.
Functionality
The script operates as follows:
- It periodically queries the Steam API for stock updates.
- Upon detecting available stock, it sends an ntfy notification.
- Continuous monitoring is achieved by scheduling the script (e.g., using cron).
Core Logic:
from urllib.request import urlopen # Configure your ntfy URL ntfy_url = "ntfy.sh/YOUR_NTFY_URL" # Timeout to prevent script hang-ups timeout = 8 def parse_availability(data: bytes) -> bool: parsed = " ".join(f"{c:02X}" for c in data) not_available = "08 00 10 00" return parsed != not_available def is_available(id_: str) -> bool: url = ( "api.steampowered.com/IPhysicalGoodsService/" "CheckInventoryAvailableByPackage/v1?origin=" f"https://store.steampowered.com&input_protobuf_encoded={id_}" ) with urlopen(f"https://{url}", timeout=timeout) as response: data = response.read() return parse_availability(data) def notify(name: str) -> None: message = f"Refurbished {name} Steam Deck is available!" print(message) with urlopen(f"https://{ntfy_url}", data=str.encode(message), timeout=timeout): pass if __name__ == "__main__": # Uncomment for notification testing # notify("TEST") # Refurbished 64GB (European region, tested in Poland) if is_available("COGVNxICUEw="): notify("64GB")
Execution
- Install a recent Python version. No additional modules are needed.
- Replace
ntfy_url
with your personal ntfy URL (obtain one from the ntfy website). The ntfy mobile app is recommended for notifications. - For Windows Server users, add
ntfy.sh
andapi.steampowered.com
to your trusted sites in Internet Explorer settings.
Conclusion
This project highlights the power of concise Python scripts for practical tasks. It serves as a valuable learning resource for API interaction, notifications, and Python automation. The complete code is available on GitHub, welcoming contributions and customization.
The above is the detailed content of Building an Availability Checker for Refurbished Steam Decks in Europe. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
