All-in-one bot, with auto captcha-solving and proxy management, using Node.js and Puppeteer.
This bot uses Node.js and Puppeteer to automate the checkout on various sneaker websites. It currently works on:
This bot was made by developers, for developers. It is not a commercial product, it is a free and open source software. Thus, it may not be suitable for those with little or no software engineering experience.
The developers of this software should not be held liable for any lost opportunities resulting from its usage.
Install the following on your machine:
View the documentation for creating a user and database.
Make a copy of the .env.example
file, replacing example
with the name of your NODE_ENV
e.g. .env.local
or .env.development
.
When you’re ready, declare the environment name with:
$ export NODE_ENV=local
$ set NODE_ENV=local
$env:NODE_ENV="local"
PORT
is the port that the Node/Express API server will run on, defaults to 8080. You can use any TCP/UDP port (0-65535) that is unused by another service e.g. Postgres on 5432.DB_USERNAME
and DB_PASSWORD
is the username/password combo for the Postgres user you created (see documentation above for assistance).DB_NAME
is the name of the Postgres database you created.DB_PORT
and DB_HOST
are the Postgres defaults, 5432
and localhost
, respectively.EMAIL_HOST
and EMAIL_PORT
are the SMTP details for your email provider e.g. smtp.gmail.com
and 587
, respectively, for Gmail.EMAIL_USERNAME
and EMAIL_PASSWORD
are your actual email credentials. We use the SMTP server to send email notifications about things like checkout errors or completions.CARD_NUMBER
, NAME_ON_CARD
, EXPIRATION_MONTH
, EXPIRATION_YEAR
, and SECURITY_CODE
are your actual credit/debit card details.API_KEY_2CAPTCHA
is your API key provided by 2Captcha
if you so desire to use their service. This can be left blank if not.The .env
file that you configure is set up for a single credit card.
However, if you want to specify multiple credit cards, populate credit-cards.js
using the example from credit-cards-example.js
.
If you prefer not to use this method, you can simply leave this JS file as-is.
When starting a task, you can optionally specify the card you want to use via its friendlyName
, otherwise the card from the .env
file will be used.
$ npm install
You may need to include
npx
at the start of the commands
$ knex migrate:latest
$ knex seed:run
Tasks run parallelly using puppeteer-cluster.
Before starting up the server, define the number of concurrent tasks you plan to run:
$ export PARALLEL_TASKS=5
If you do not define this variable, it will default to 1
.
You can of course run more tasks, but they will be queued to run in a first-in, first-out (FIFO) manner.
Keep in mind that tasks that do not result in checkoutComplete
will remain idle (not terminate) so that you can open the browser and view the error(s).
If a task encounters a captcha that must be manually solved, it will also remain idle and await completion.
Each task uses its own browser, so it’s also important to keep in mind the CPU constraints of your machine.
When you’re ready, start the server with:
$ npm start
This may be particularly useful for Linux users who have reported issues with Puppeteer and Chromium.
You will need to have Docker Compose and/or Docker installed to use this.
You will also need to make a copy of the .env.example
file, replacing example
with the name of your NODE_ENV
e.g. docker
.
A Docker image is available for the server code here. You can also build it yourself by running the following in the root directory:
$ docker build -t sneakerbot .
Then run it and specify the env file with:
docker run -p 5900:5900 -p 8000:8000 --env NODE_ENV=docker --env-file .env.docker sneakerbot
(replace 8000
with whatever PORT
you specified in .env.docker
)
This Docker image is built from node:12
and uses xvfb with x11vnc to provide access to a GUI.
You can use vncviewer to connect to the VNC server running in the container.
You may also opt to run Postgres via Docker, in which case you can make use of the docker-compose.yml
file. Simply run the following in the root directory:
$ docker-compose build
$ docker-compose up
This bot exposes a Node/Express API server for managing addresses, proxies, and tasks. I would eventually like to see a UI, which integrates these APIs, built.
For each API, view the docs and try the requests in Postman.
You can now specify a product_code
on tasks. You will still need to provide the url
e.g. https://nike.com but can also provide a product_code
e.g. “DA3130-100”.
If a product_code
is specified, the bot will iteratively search the desired site until there is a search result, click it, and then proceed as usual.
This will work with the nike.com
, footsites
, and demandware
sites.
If using with adidas.com, be sure to include the full site path e.g. https://www.adidas.com/us.
Feel free to check the new example “with product code” under the POST /tasks API.
You can now specify a WEBHOOK_ENDPOINT
in your .env
file for receiving webhook events (over HTTP/HTTPS) about task status.
When a task is done processing, a POST
request will be sent to the supplied URL with the following data:
{
taskId: integer,
checkoutComplete: true/false,
message: Some text about the task status, the same message is sent via email
}
You may start a task via POST /v1/tasks/:id/start
or use the start-task.js
script like:
$ TASK_ID=<TASK_ID> CARD_FRIENDLY_NAME=<CARD_FRIENDLY_NAME> node ./scripts/start-task.js
You may stop a task that has run too long via POST /v1/tasks/:id/stop
This bot enables manual and automatic (via 2Captcha) solving of captchas.
When creating a task, you can specify auto_solve_captcha
(Boolean), however, this parameter is optional and defaults to true
.
You must sign up for and fund a 2Captcha account, and then add your API_KEY_2CAPTCHA
to the .env file in order to auto-solve captchas.
For manually-solving captchas, you will be given a 5-minute timeout after the email notification to check the browser and solve the captcha.
As a teenager, I operated sneakerbots.us, where I sold sneakerbots like this in addition to early links and ATC services.
Fastforward several years, I decided to upgrade this all-in-one bot from Java + Selenium to Node.js + Puppeteer, which I enjoy more for bot projects.
I am open sourcing this repo now, since I no longer operate the business, but also because I am of the opinion that this software can rival many of its commercial competitors.
Feel free to open a Pull Request to contribute to this project and help make it better! I will continue to support more websites and add more features as I can.
Also feel free to open an Issue or contact me via Telegram @samc621 if you have any trouble.
If you appreciate this, consider buying me a coffee.