/Backpack-ref-bot

Primary LanguagePython

Script for farming referrals on Backpack

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Script helps in farming referrals in Backpack project. Supports multithreading, proxies, custom usernames, multiple referral links and codes. Script is based on Selenium.

First start

  1. Download this repository
  2. Install python v 3.10.9
  3. Install all dependencies by typing 'pip install -r requirements.txt' in cmd (cd to the project directory first)
  4. Check your Chrome version by navigating to chrome://version/ (for example 110)
  5. Download chromedriver based on your Chrome version
  6. Extract 'chromedriver.exe' to the project repository
  7. Open 'config.py' file using any text editor
    1. refs_to_register: total amount of accounts to be registered
    2. threads: max amount of threads
    3. wait_element_sec: how long Selenium should wait for any button, do not change it if you are not sure what you are doing
    4. referrals: your main accounts, each account has referral link and invite code. In case you use more than one main account - all refs will be evenly distributed
  8. Open 'data/proxies.txt' file and enter your proxies, line by line
    1. In case you have f.e. 10 proxies, and you wish to register 20 accounts - just enter 10 proxies, script will reuse them
    2. In case you wish to register accounts without proxies - just leave this file empty
  9. Open 'data/usernames.txt' file and enter your usernames, line by line
    1. In case you have f.e. 10 usernames, and you wish to register 20 accounts - just enter 10 usernames, script will generate additional usernames for remaining accounts
    2. In case username will be already claimed by other member - script will generate new username instead
    3. In case you do not wish to use your custom usernames - just leave this file empty
  10. Run the bot using 'python main.py'
  11. Information regarding registered accounts will be stored in 'data/backup' folder, separator '|' is used
    1. nickname
    2. seed phrase
    3. extension pass
    4. proxy used
    5. invite code used
    6. referral link used