• русский

Step 1: Clone the repository

First, clone the repository from GitHub to your local computer.

1. Open a terminal (Command Prompt or PowerShell on Windows).

2. Run the command:

   git clone https://github.com/gradinazz/CSFloat-Auto-Trade.git

3. Go to the project directory:

   cd CSFloat-Auto-Trade

Step 2: Install Dependencies

Install the required packages listed in requirements.txt.

1. Make sure you are in the project directory and the Python virtual environment is activated.

2. Run the command:

   pip install -r requirements.txt

Step 3: Script Configuration

Before running the script, you need to configure the configuration file steam.json.

• Edit the steam.json file in the root of the project.

• Add the following parameters to it:

  • csfloat_api_key: Your CSFloat API key.
  • steam_api_key: Your Steam API key.
  • steam_id64: Your Steam ID64(example: 76561198034388123).
  • steam_login: Your Steam username.
  • steam_password: Your Steam password.
  • shared_secret and identity_secret: Secrets needed to confirm trade offers. Can be obtained from maFile.
  • client_proxy: Optional: Set the proxy(example: http://127.0.0.1:7890).
  • user_agent: Optional: Set the user agent. The default value is "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0".
  • steam_use_proxy: Optional: Apply proxy for steam cilent if setted to "true".
  • check_interval_seconds: Optional: Set the interval in seconds bewteen checks.
  • check_interval_seconds_random: Optional: Enable randomizing the interval bewteen checks if setted to "true".
  • check_interval_seconds_random_min: Optional: Set the minimum randomized interval in seconds bewteen checks.
  • check_interval_seconds_random_max: Optional: Set the maximum randomized interval in seconds bewteen checks.

  Important: Never share these keys and secrets. Keep them in a safe place.

Step 4: Run the script

Now you are ready to run the script.

1. Run the command:

   python CSFloat-Auto-Trade.py

2. The script will start executing and will check for new trade offers every 10 minutes (by default).