Create a telegram bot that scrapes deals from the Italian Amazon page and sends them to a channel. Ideal for automating an Amazon Deals Telegram channel with referral links.
This software does not make use of the Amazon's Product Adverising APIs so you can use this before having a qualified Amazon Associates account and does not use Keepa's APIs.
This project has the goal of creating an automatic telegram bot that scrapes deals from the Italian Amazon page and sends them to a specific channel. Once started, it scrapes all the deals on the first page of the website with deals above 50%, taking all the IDs of the different products. It then selects one product that was not chosen recently and sends a message to the specified channel with the product image, its title, the link (which may also be an affiliate link), and a catchy phrase in Italian with the discount rate and the new price. It can be used to automate the tedious job of selecting the deals from Amazon, although with a lower quality of selection, with the potential monetary benefit that can come from the Amazon affiliate program.
Here is a working example of the telegram bot in action.
ATTENTION: this script is based on website scraping. For this reason, it may be possible that, with the passing of time, the change of layout in the product pages may lead to the impossibility of successfully retrieving product information, lowering the number of products that may be selected.
- Install the required Python libraries specified in requirements.txt with
pip install -r requirements.txt. - Install Chrome or Chromium
- Create your telegram bot:
- Start the bot @BotFather
- Create your bot. Take note of the bot token and the bot username
- Use the information of the newly created bot to set the variables in the .env file (you need to rename the file .env.example to .env on your local machine). Make sure not to share the information contained in it
To send a single message, just run the module with python amazon-deals-telegram-bot. The first time, it will take some time because it will download the correct version of the chromedriver and then retrieve all the possible IDs from which it may choose. This setup time will be lowered in successive runs because the chromedriver will be cached if the previously downloaded version is still up-to-date and present on your machine, and because the ids are saved in a file and updated only if more than 2 hours have passed since the last time they were retrieved.
It is possible to periodically send messages by setting up a cron job that runs the script.
To deploy this application to a server you can use a working Selenium grid with a node; the easiest way to set it up is using a Docker container (selenium/standalone-chrome) and change the code in amazon_page_analyser.py's start_selenium() in order to use a Remote.
The container can be always running or it can be started in the context of application execution.
A working example for an ARM system can be obtained by applying this patch (it uses seleniarm/standalone-chromium). You can modify it to make it work for your system.
This source code is licensed by Alberto Pasqualetto and Lorenzo Asquini (the authors) under the MIT license.