TGTG Scanner observes your favorite TGTG Magic Bags for newly available items and notifies you via mail, IFTTT, Ntfy, Telegram, PushSafer, Apprise or any other WebHook. Notifications will be sent when the available amount of Magic Bags rises from zero to something.
Additionally, the currently available amounts can be provided via an HTTP server.
Running in a docker container the scanner can be seamlessly integrated with OpenHab, Prometheus, and other automation, notification, and visualization services.
This software is provided as is without warranty of any kind. If you have problems, find bugs, or have suggestions for improvement feel free to create an issue or contribute to the project. Before creating an issue please refer to the FAQ.
This Project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Too Good To Go, or any of its subsidiaries or its affiliates.
Too Good To Go explicitly forbids the use of their platform the way this tool does if you use it. In their Terms and Conditions, it says: "The Consumer must not misuse the Platform (including hacking or 'scraping')."
If you use this tool you do it at your own risk. Too Good To Go may stop you from doing so by (temporarily) blocking your access and may even delete your account.
If you see the Error 403 in your logs please refer to the FAQ.
You can install this tool on any computer. For 24/7 notifications I recommended an installation on a NAS like Synology or a Raspberry Pi. You can also try to use a virtual cloud server.
If you have any problems or questions feel free to create an issue.
For configuration options please refer to the projects wiki: Configuration
You have the following three options to install the scanner, ascending in complexity:
This is the simplest but least flexible solution suitable for most operating systems.
The binaries are built for latest Ubuntu, MacOS, and Windows running on an x64
architecture.
If you are using another architecture like arm
(e.g. RaspberryPi, Synology, etc.)
you have to run from source, compile the binary yourself or use the docker images.
- Download latest Releases for your OS
- Unzip the archive
- Edit
config.ini
as described in the Wiki - Run the scanner
You can run the scanner manually if you need it, add it to your startup or create a system service.
The executables for Windows and MacOS are not signed by Microsoft and Apple, which would be very expensive. On MacOS, you have to hold the control key while opening the file and on Windows, you have to confirm the displayed dialog.
My preferred method for servers, NAS, and RapsberryPis is using the pre-build multi-arch Linux images available via
Docker Hub.
The images are built for Linux on amd64
, arm64
, armv7
, armv6
, and i386
.
- Install Docker
- Copy and edit
docker-compose.yml
as described in the Wiki - Run
docker compose up -d
The container automatically creates a volume mounting \tokens
where the app saves the TGTG credentials after login.
These credentials will be reused at every start of the container to avoid the mail login process.
To log in with a different account you have to delete the created volume or the files in it.
To update the running container to the latest version of the selected tag run
docker-compose pull
docker-compose up -d
- Install Git, Python>=3.9 and pip
- Run
pip install git+https://github.com/Der-Henning/tgtg
- Create
config.ini
as described in the Wiki - Start scanner with
python -m tgtg_scanner
To update to the latest release run
pip install --upgrade git+https://github.com/Der-Henning/tgtg
.
If you receive the ModuleNotFoundError: No module named '_ctypes'
you may need to install libffi-dev
.
Method for advanced usage.
- Install Git, Python>=3.9 and poetry
- Clone the repository
git clone https://github.com/Der-Henning/tgtg
- Enter repository folder
cd tgtg
- Run
poetry install --without test,build
- Create config file
cp config.sample.ini config.ini
- Modify
config.ini
as described in the Wiki - Run
poetry run scanner
Alternatively, you can use environment variables as described in the wiki.
The scanner will look for environment variables if no config.ini
is present.
To update to the latest release run git pull
.
If you receive the ModuleNotFoundError: No module named '_ctypes'
you may need to install libffi-dev
.
You could also build your own binary for your OS/Arch combination.
- Clone the repository as described above
- Run
poetry install --without test
- Run
make executable
You will find the bundled binary including the config.ini
in the ./dist
directory.
When the scanner is started it will first try to log in to your TGTG account. Similar to logging in to the TGTG app, you have to click on the link sent to you by mail. This won't work on your mobile phone if you have installed the TGTG app, so you have to check your mailbox on your PC.
After a successful login, the scanner will send a test notification on all configured notifiers. If you don't receive any notifications, please check your configuration.
The executable or the tgtg_scanner/__main__.py
contains some useful helper functions that can be
accessed via optional command line arguments.
Running scanner[.exe] --help
, poetry run scanner --help
, python tgtg_scanner/__main__.py --help
or python -m tgtg_scanner --help
displays the available commands.
usage: scanner [-h] [-v] [-d] [-c config_file] [-l log_file] [-t | -f | -F | -a item_id [item_id ...] | -r item_id [item_id ...] | -R] [-j | -J] [--base_url BASE_URL]
Notifications for Too Good To Go
options:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-d, --debug activate debugging mode
-c config_file, --config config_file
path to config file (default: config.ini)
-l log_file, --log_file log_file
path to log file (default: scanner.log)
-t, --tokens display your current access tokens and exit
-f, --favorites display your favorites and exit
-F, --favorite_ids display the item ids of your favorites and exit
-a item_id [item_id ...], --add item_id [item_id ...]
add item ids to favorites and exit
-r item_id [item_id ...], --remove item_id [item_id ...]
remove item ids from favorites and exit
-R, --remove_all remove all favorites and exit
-j, --json output as plain json
-J, --json_pretty output as pretty json
--base_url BASE_URL Overwrite TGTG API URL for testing
Example (Unix only):
poetry run scanner -f -J >> items.json
Creates a formatted JSON file containing all your favorite items and their available information.
Enabling the metrics option will expose an HTTP server on the specified port supplying the currently available items. You can scrape the data with Prometheus to create and visualize historic data or use it with your home automation.
Scrape config:
- job_name: 'TGTG'
scrape_interval: 1m
scheme: http
metrics_path: /
static_configs:
- targets:
- 'localhost:8000'
For development, I recommend using docker.
If you are developing with VSCode, you can open the project in the configured development container including all required dependencies.
Alternatively, install all required development environment dependencies, including linting, testing, and building by executing
make install
For developement and testing it is sometimes useful to trigger TGTG Magic Bag events. For this purpose you can run the TGTG dev API proxy server. The proxy redirects all requests to the official TGTG API server. The responses from the item endpoint are modified by randomizing the amount of available magic bags.
make server
make install
installs development dependencies and pre-commit hooksmake server
starts TGTG dev API proxy servermake start
runs the scanner with debugging and using the API proxymake test
runs unit testsmake lint
run pre-commit hooks including linting and code checksmake executable
creates a bundled executable in/dist
make images
builds docker images with tagtgtg-scanner:latest
andtgtg-scanner:latest-alpine
Feel free to create and contribute new notifiers for other services and endpoints. You can use an existing notifier as a template or build upon the webhook notifier. E.g. see the ifttt notifier.
If you want to support me, feel free to buy me a coffee.