This bot uses Node.js and Puppeteer to automate the checkout on various sneaker websites. It currently works on:
- Footsites (footlocker.com, footaction.com, eastbay.com, champssports.com)
- Shopify sites (e.g. BdgaStore, Concepts, Kith, etc.)
- Demandware sites (e.g. Adidas)
- Nike.com
- Supreme
Install the following on your machine:
- Node.js (comes with npm)
- PostgreSQL
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. local
or development
.
When you're ready, declare the environment name with:
$ export NODE_ENV=local
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.json
using the example from credit-cards-example.json
.
If you prefer not to use this method, you can simply leave this JSON 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
$ 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
For each API, view the docs and try the requests in Postman.
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
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 any of the others out there that sell for hundreds of dollars.
Feel free to open a Pull Request to contribute to this proejct 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.