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FairGame

Table of Contents:

Quick Links

Discord | Python Download (3.8.8)

About FairGame

We built this in response to the severe tech scalping situation that's happening right now. Almost every tech product that's coming out right now is being instantly brought out by scalping groups and then resold at at insane prices. $699 GPUs are being listed for $1700 on eBay, and these scalpers are buying 40 cards while normal consumers can't get a single one. Preorders for the PS5 are being resold for nearly $1000. Our take on this is that if we release a bot that anyone can use, for free, then the number of items that scalpers can buy goes down and normal consumers can buy items for MSRP.

If everyone is botting, then no one is botting.

Current Functionality

FairGame only works on Amazon and can automatically check out.

Other Notes on Functionality

  • By default, FairGame will only purchase new items with free shipping. This can be changed with options on the command line, see Configuration.
  • FairGame is designed to check if each product is in stock sequentially, not concurrently (by choice). While more than one instance of the program can be run concurrently, we do not encourage nor support this and will not provide help in doing so.
  • There is no functionality to stop and confirm information with your bank during checkout (sorry EU). If someone from EU wants to figure this out and submit a pull request, that would be great.
  • FairGame organizes the products being checked into lists, and each list is subject to a minimum and maximum purchase price range. Once an item is purchased from a list, that list is removed, and it will no longer purchase an item from that list.
    • If you want to set purchase price ranges for several different products, but only want FairGame to purchase one of any of the products you've included in the configuration file, use the --single-shot option, see Running the program

Installation

Requirements

!!! YOU WILL NEED TO USE THE 3.8 BRANCH OF PYTHON, ANY OTHER BRANCH/VERSION (Anaconda, 2.7, 3.9.x, 3.10, 4.0, toaster, etc.) BREAKS DEPENDENCIES !!!

It is best if you use the newest version of 3.8 (at this time, 3.8.8) but 3.8.5, 3.8.6, and 3.8.7 should also work.

It also requires a working Chrome installation. Running it on a potato (<2GB of RAM) is not suggested.

Quick Start

Here are the very simple steps for running the bot on Windows, however most of these instructions should be followed regardless of your OS (obviously you aren't running .bat files if you aren't on Windows, or using GitHub Desktop if not available on your OS). See Platform Specific instructions for help installing Python and dependencies in other operating systems:

  1. Turn on your computer
  2. Install Python 3.8.5, 3.8.6, 3.8.7 or 3.8.8. Install to some location that does not include spaces in the path (we suggest C:\Python38). Click the checkbox that says Add Python 3.8 to PATH (or something similar) during the installation.
  3. Download GitHub Desktop and Open the FairGame Repository with GitHub Desktop (or download the zip file). Again, make sure this installs to a location without spaces in the path. If you need help with this, look at Wiki.
  4. Open the FairGame folder in File Explorer. Double click __INSTALL (RUN FIRST).bat DON'T USE ADMINISTRATIVE MODE.
  5. After this finishes (it could take a few minutes or longer), make a copy of the amazon_config.template_json file, and rename it to amazon_config.json. If you don't know how to rename file extensions, look it up on Google.
  6. Edit the amazon_config.json, this assumes US using smile.amazon.com. Using Amazon Smile requires that you select a charity. If you do not know how to do this, use Google. Find a product, like a USB stick that is in stock, and put the ASIN for that product in place of the B07JH53M4T listed below (or use that if it is in stock). Change the reserve_min_1 and reserve_max_1 to be below and above the price of the item, respectively:
{
  "asin_groups": 1,
  "asin_list_1": ["B07JH53M4T"],
  "reserve_min_1": 5,
  "reserve_max_1": 15,
  "amazon_website": "smile.amazon.com"
}
  1. In File Explorer, double click the _Amazon.bat file in the FairGame folder. DON'T USE ADMINISTRATIVE MODE. Type in your amazon email address when asked for your amazon login ID. Type in your amazon account password when asked for your amazon password. Type in a password for your credentials (this can be whatever you want, it just encrypts your account email/password file)
  2. Verify that the bot successfully makes it to the place your order page with the item you put in the config file. If it does not, then:
    • You messed something up above, and need to fix it; or,
    • It is asking you for your address and payment info. In a separate tab within the bots browser, you need to:
      • Make sure one-click purchasing is set up for your account in the bot's browser,
      • verify there is a default payment method and default address associated with that payment method,
      • And then make a purchase manually with the bot in a separate tab and verify that it correctly sets your defaults for the browser.
      • See #faq on our Discord for additional information.
  3. Edit the amazon_config.json file with the item(s) you want to look for. See Configuration and Configuration Examples for additional information
  4. Remove --test from _Amazon.bat
  5. Run _Amazon.bat and wait

Additional information about running FairGame can be found in the rest of the documentation.

Detailed Directions

Python

This project uses Python 3.8.X and uses Pipenv to manage dependencies.

Downloading FairGame

To get started, there are two options:

Releases

To get the latest release as a convenient package, download it directly from the Releases page on GitHub. The "Source code" zip or tar file are what you'll want. This can be downloaded and extracted into a directory of your choice (e.g. C:\fairgame).

Git

If you want to manage the code via Git, you'll first need to clone this repository. If you are unfamiliar with Git, follow the guide on how to do that on our Wiki . You can use the "Download Zip" button on the GitHub repository's homepage but this makes receiving updates more difficult. If you can get setup with the GitHub Desktop app, updating to the latest version of the bot takes 1 click.

Installing Dependencies

If you are on Windows, use INSTALL (RUN FIRST).bat. Do NOT use administrative mode

If you are not on Windows, do the following:

pip install pipenv
pipenv install

pipenv install must be run in the project's folder.

NOTE: YOU SHOULD RUN pipenv install ANY TIME YOU UPDATE, IN CASE THE DEPENDENCIES HAVE CHANGED!

Configuration

Make a copy of amazon_config.template_json and rename to amazon_config.json. Edit it according to the ASINs you are interested in purchasing. You can find a list of ASINs for some common products people are looking for on our Discord #asins. If it's not in there, you have to look it up yourself.

  • asin_groups indicates the number of ASIN groups (or lists) you want to use.
  • asin_list_x list of ASINs for products you want to purchase. You must locate these for the products you want, use the links above to get started.
    • The first time an item from list "x" is in stock and under its associated reserve, it will purchase it. FairGame will continue to loop through the other lists until it purchases one item from each (unless the --single-shot option is enabled, in which case it stops after the first purchase).
    • If the purchase is successful, the bot will not buy anything else from list "x".
    • Use sequential numbers for x, starting from 1. x can be any integer from 1 to 18,446,744,073,709,551,616
  • reserve_min_x set a minimum limit to consider for purchasing an item. If a seller has a listing for a 700 dollar item a 1 dollar, it's likely fake.
  • reserve_max_x is the most amount you want to spend for a single item (i.e., ASIN) in asin_list_x. Does not include tax. If --checkshipping flag is active, this includes shipping listed on offer page.
  • amazon_website amazon domain you want to use. smile subdomain appears to work better, if available in your country. What is Smile? Note that using Amazon Smile requires you to pick a charity. If you do not do so, you will not be able to purchase anything, and you will likely have problems running FairGame.
Configuration Examples

One unique product with one ASIN (e.g., Segway Ninebot S and GoKart Drift Kit Bundle) :

{
  "asin_groups": 1,
  "asin_list_1": [
    "B07K7NLDGT"
  ],
  "reserve_min_1": 450,
  "reserve_max_1": 500,
  "amazon_website": "smile.amazon.com"
}

One general product with multiple ASINS (e.g 16 GB USB drive 2 pack)

{
  "asin_groups": 1,
  "asin_list_1": [
    "B07JH53M4T",
    "B085M1SQ9S",
    "B00E9W1ULS"
  ],
  "reserve_min_1": 15,
  "reserve_max_1": 20,
  "amazon_website": "smile.amazon.com"
}

Two general products with multiple ASINS and different price points (e.g. 16 GB USB drive 2 pack and a statue of The Thinker)

{
  "asin_groups": 2,
  "asin_list_1": [
    "B07JH53M4T",
    "B085M1SQ9S",
    "B00E9W1ULS"
  ],
  "reserve_min_1": 15,
  "reserve_max_1": 20,
  "asin_list_2": [
    "B006HPI2A2",
    "B00N54S1WW"
  ],
  "reserve_min_2": 50,
  "reserve_max_2": 75,
  "amazon_website": "smile.amazon.com"
}

If you wanted to watch another product, you'd add a third list (e.g. asin_list_3) and associated min/max pricing and increase the asin_groups to 3. Add as many lists as are needed, keeping in mind that the main distinction between lists is the min/max price boundaries. Once any ASIN is purchased from an ASIN list, that list is remove from the hunt until FairGame is restarted.

To verify that your JSON is well formatted, paste and validate it at https://jsonlint.com/

Running the program

If you are on Windows, we suggest making a copy of _Amazon.bat and adding the options of your choice to the end of line (see Options below). Run the program by double clicking on the _Amazon.bat file (or whatever you renamed it to). DO NOT RUN THE BATCH FILE WITH ADMINISTRATIVE MODE

NOTE: --test flag has been added to _Amazon.bat file by default. This should be deleted after you've verified that the bot works correctly for you. If you don't want your _Amazon.bat to be deleted when you update, you should copy it and rename it to something else as mentioned above.

If you are not on Windows, you can run the bot with the following command:

pipenv run python app.py amazon [Options]

Options:
  --headless          Runs Chrome in headless mode.
  
  --test              Run the checkout flow but do not actually purchase the item[s]

  --delay FLOAT       Time to wait between the end of one stock check and the beginning of the next stock check.
  
  --checkshipping     Also include items with a shipping price in the search.
                      Shipping costs are factored into reserve price check calculation.

  --detailed          Take more screenshots. !!!!!! This could cause you to
                      miss checkouts !!!!!!

  --used              Show used items in search listings.
  
  --single-shot       Quit after 1 successful purchase
  
  --no-screenshots    Take NO screenshots, do not bother asking for help if
                      you use this... Screenshots are the best tool we have
                      for troubleshooting

  --disable-presence  Disable Discord Rich Presence functionallity
  
  --disable-sound     Disable local sounds.  Does not affect Apprise
                      notification sounds.

  --slow-mode         Uses normal page load strategy for selenium. Default is none

  --p TEXT            Pass in encryption file password as argument
  
  --log-stock-check   Will log each stock check to terminal and log file
  
  --shipping-bypass   Bot will attempt to click "Ship to this Address" button,
                      if it pops up during checkout. 
                      USE THIS OPTION AT YOUR OWN RISK!!!
                      NOTE: There is no functionality to choose payment
                      option, so bot may still fail during checkout
                      
  --help              Show this message and exit.

Examples

Running FairGame with default functionality:

pipenv run python app.py amazon

Running FairGame to look for new and used items, and also include items that may have a shipping cost:

pipenv run python app.py amazon --used --checkshipping

Running Fairgame with delay of 4.5 seconds, and automatically putting in the credentials password of abcd1234

pipenv run python app.py amazon --delay=4.5 --p=abcd1234

Start Up

When you first launch FairGame, it will prompt you for your amazon credentials. You will then be asked for a password to encrypt them. Once done, your encrypted credentials will be stored in amazon_credentials.json. If you ever forget your encryption password, just delete this file and the next launch of the bot will recreate it. An example of this will look like the following:

INFO Initializing Apprise handler
INFO Initializing other notification handlers
INFO Enabled Handlers: ['Audio']
INFO No credential file found, let's make one
Amazon login ID: <your email address>
Amazon Password: <your amazon password>
INFO Create a password for the credential file
Credential file password: <a password used to encrypt your amazon credentials>
Verify credential file password: <the same password that was entered above>
INFO Credentials safely stored.

Starting the bot when you have created an encrypted file:

INFO Initializing Apprise handler
INFO Initializing other notification handlers
INFO Enabled Handlers: ['Audio']
Reading credentials from: amazon_credentials.json
Credential file password: <enter the previously created password>

Other Installation Help

ASINs

See (#asins)[https://discord.gg/DuVXAN5FnN] channel on our Discord server, or look them up on Amazon.

Platform Specific

These instructions are supplied by community members and any adjustments, corrections, improvements or clarifications are welcome. These are typically created during installation in a single environment, so there may be caveats or changes necessary for your environment. This isn't intended to be a definitive guide, but a starting point as validation that a platform can/does work. Please report back any suggestions to our Discord feedback channel.

Installation MacOS

Usage on Mojave (10.14) and above. Previous versions of macOS may not be compatible.

Ensure you have Python 3.8.5+ (3.8.8 recommended) installed on your system. If not, you can download it from https://www.python.org/downloads/release/python-388/ in the Files section near the bottom of the page. Make sure to choose macOS 64-bit installer. Once downloaded, you can go through the installer's setup steps.

Download the ZIP of Fairgame from GitHub, or clone it with git clone https://github.com/Hari-Nagarajan/fairgame.

Open up the terminal on macOS (can be found in /Utilities in /Applications in Finder) and type cd folderLocationHere/Fairgame. If you do not know where the folder is located, type cd and then drag the Fairgame folder ontop of the terminal window and let go. It then should autofill the folder path.

Type pip3 install pipenv and hit enter.

Type pipenv shell and hit enter.

Type pipenv install and hit enter.

Type pipenv run python app.py amazon and go through setup. You will also need to set up the config file, seen below in the Configuration section

Installation Ubuntu 20.10 (and probably other distros)

Based off Ubuntu 20.10 with a fresh installation.

Open terminal. Either right click desktop and go to Open In Terminal, or search for Terminal under Show Applications

Install Google Chrome: wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb && sudo dpkg -i google-chrome-stable_current_amd64.deb

Install Pip: sudo apt install python3-pip

Install pipenv: pip3 install pipenv

Add /home/$USER/.local/bin to PATH: export PATH="/home/$USER/.local/bin:$PATH"

Install git: sudo apt install git

Clone git repository: git clone https://github.com/Hari-Nagarajan/fairgame

Change into the fairgame folder: cd ./fairgame/

Prepare your config files within ./config/

cp ./config/amazon_config.template_json ./config/amazon_config.json
cp ./config/apprise.conf_template ./config/apprise.conf

Make a pipshell environment: pipenv shell

Install dependencies: pipenv install

Edit the newly created files with your settings based on your configuration

Installation Raspberry Pi 4 (2 GB+)

This is an abridged version of the community created document by UnidentifiedWarlock and Judarius. It can be found here. If the steps here don't work on your Pi 4, look there for additional options. This hasn't been tested on a Pi 3, but given enough RAM to run Chrome, it may very well work. Let us know.

sudo apt update
sudo apt upgrade
sudo apt-get install -y build-essential tk-dev libreadline-dev libdb5.3-dev libgdbm-dev libsqlite3-dev libssl-dev libbz2-dev libexpat1-dev liblzma-dev zlib1g-dev libffi-dev libxslt1-dev rustc libjpeg-dev zlib1g-dev libfreetype6-dev liblcms1-dev libopenjp2-7 libtiff5 libncurses5-dev libncursesw5-dev chromium-chromedriver

version=3.8.8

wget https://www.python.org/ftp/python/$version/Python-$version.tgz

tar zxf Python-$version.tgz
cd Python-$version
./configure --enable-optimizations
make -j4
sudo make altinstall

cd ..

sudo python3.8 -m pip install --upgrade pip

git clone https://github.com/Hari-Nagarajan/fairgame
cd fairgame/
pip3 install pipenv
export PATH=$PATH:/home/$USER/.local/bin
pipenv shell 
pipenv install
cp /usr/bin/chromedriver /home/$USER/.local/share/virtualenvs/fairgame-<RANDOMCHARS>/lib/python3.8/site-packages/chromedriver_py/chromedriver_linux64

Leave this Terminal window open.

Open the following file in a text editor:

/home/$USER/.local/share/virtualenvs/fairgame-<RANDOMCHARS>/lib/python3.8/site-packages/selenium/webdriver/common/service.py

Edit line 38 from

self.path = executable

to

self.path = "chromedriver"

Then save and close the file.

Back in the terminal you kept open, under the fairgame folder you can now type pipenv run python app.py amazon and run the bot, or add any flags after you wish to use like --headless or --delay x to make pipenv run python app.py amazon --headless --delay 4

Advanced Configuration

Notifications

Sounds

Local sounds are provided as a means to give you audible cues to what is happening. The notification sound plays for notable events (e.g., start up, product found for purchase) during the scans. An alarm notification will play when user interaction is necessary. This is typically when all automated options have been exhausted. Lastly, a purchase notification sound will play if the bot if successful. These local sounds can be disabled via the command-line and tested along with other notification methods

Attribution

Notification sound from https://notificationsounds.com.

Apprise

Notifications are now handled by Apprise. Apprise lets you send notifications to a large number of supported notification services. Check https://github.com/caronc/apprise/wiki for a detailed list.

To enable Apprise notifications, make a copy of apprise.conf_template in the config directory and name it apprise.conf. Then add apprise formatted urls for your desired notification services as simple text entries in the config file. Any recognized notification services will be reported on app start.

Apprise Example Config:

# Hash Tags denote comment lines and blank lines are allowed
# Discord (https://github.com/caronc/apprise/wiki/Notify_discord)

https://discordapp.com/api/webhooks/{WebhookID}/{WebhookToken}

# Telegram
tgram://{bot_token}/{chat_id}/


# Slack (https://github.com/caronc/apprise/wiki/Notify_slack)
https://hooks.slack.com/services/{tokenA}/{tokenB}/{tokenC}

Testing notifications

Once you have setup your apprise_config.json you can test it by running python app.py test-notifications from within your pipenv shell. This will send a test notification to all configured notification services.

CLI Tools

CDN Endpoints

The find-endpoints tool is designed to help you understand how many website domain endpoints exist for your geography based on global Content Delivery Networks (CDNs) and your specific network provider. Its purpose is nothing more than to educate you about variability of the network depending on how your computer resolves a domain. Doing something useful with this knowledge is beyond the scope of this feature.

Usage: app.py find-endpoints [OPTIONS]

Options:
  --domain TEXT  Specify the domain you want to find endpoints for (e.g.
                 www.amazon.de, www.amazon.com, smile.amazon.com.

  --help         Show this message and exit.

Specifying a domain (e.g. www.amazon.com, www.amazon.es, www.google.com, etc.) will generate a list of IP addresses that various public name servers resolve the name to. Hopefully this is helpful in understanding the variable nature of the content that different people see.

Routes

The show_traceroutes tool is simply a tool that attempts to generate the commands necessary to determine the various paths that the Fairgame could take to get to a domain, based on who is resolving the domain to an IP. It uses the end points tool to convert a domain name to the various IPs and generates a list of commands you can copy and paste into the console to compare routes.

Usage: app.py show-traceroutes [OPTIONS]

Options:
  --domain TEXT  Specify the domain you want to generate traceroute commands for.

  --help         Show this message and exit.

This is intended for people who feel that they can modify their network situation such that the fastest route is used. Explaining the Internet and how routing works is beyond the scope of this command, this tool, this project, and the developers.

Issues Running FairGame

Known Issues

  • DO NOT change the zoom setting of the browser (it must be at 100%). Selenium doesn't work with the zoom at any other setting.
  • Pipenv does not like spaces in file paths, so you will either need to run from a place where you do not have spaces in the file path, or set the option for pipenv to run locally in relation to the current file directory with:
set PIPENV_VENV_IN_PROJECT=1 (Windows) 
export PIPENV_VENV_IN_PROJECT=1 (Linux/Other)

  • Running the bot minimized can cause time out errors due to how Selenium acts with various versions of Chrome.

  • One time passcode (OTP) doesn't work in headless. Turn it off when starting up a headless instance, then turn it back on afterwords.

Troubleshooting

  • Re-read this documentation.

  • Verify your JSON.

  • Consider joining the #tech-support channel in Discord for help from the community if these common fixes don't help.

  • Error: selenium.common.exceptions.WebDriverException: Message: unknown error: cannot find Chrome binary The issue is that chrome is not installed in the expected location. See Selenium Wiki and the section on overriding the Chrome binary location .

    The easy fix for this is to add an option where selenium is used (selenium_utils.py)

    python chrome_options.binary_location = "C:\Users\%USERNAME%\AppData\Local\Google\Chrome\Application\chrome.exe"

  • Error: selenium.common.exceptions.SessionNotCreatedException: Message: session not created: This version of ChromeDriver only supports Chrome version 89

    You are not running the proper version of Chrome this requires. As of this update, the current version is Chrome 89. Check your version by going to chrome://version/ in your browser. We are going to be targeting the current stable build of chrome. If you are behind, please update, if you are on a beta or canary branch, you'll have to build your own version of chromedriver-py.

Frequently Asked Questions

To keep up with questions, the Discord channel #FAQ is where you'll find the latest answers. If you don't find it there, ask in #tech-support.

  1. Can I run multiple instances of the bot? While possible, running multiple instances is not supported.

  2. Does Fairgame automatically bypass CAPTCHA's on the store sites? The bot will try and auto-solve CAPTCHA's during the checkout process.

  3. Does --headless work? Yes! A community user identified the issue with the headless option while running on a Raspberry Pi. This allowed the developers to update the codebase to consistently work correctly on headless server environments. Give it a try and let us know if you have any issues.

  4. Does Fairgame run on a Raspberry Pi? Yes, with caveats. Most people seem to have success with Raspberry Pi 4. The 2 GB model may need to run the headless option due to the smaller memory footprint. Still awaiting community feedback on running on a Pi 3. CPU and memory capacity seem to be the limiting factor for older Pi models. The Pi is also much slower then even a semi-recent (5 years or less) laptop.

Clone this wiki locally