Trakt.tv tools

• Trakt.tv tools
  • Purpose
  • Requirements
    • On Docker
    • On Ubuntu/Debian Linux system
    • On Arch/Manjaro Linux system
    • On Windows system
    • On macOS system
  • Usage
  • Configuration
    • Configuration sample
    • Configuration details
  • Developer documentation
  • Howto
    • Import
    • Export
    • Sync
    • Export data from Kodi
    • Export data from CouchPotato
  • Support
  • Contribution
  • Licence

Purpose

• Import Movies or TVShows IDs from CSV file format into Trakt.tv.
• Import Ratings of Movies or TVShows IDs from CSV file format into Trakt.tv.
• Export Movies or TVShows IDs from Trakt.tv list into CSV file format.
• Create trakt.tv custom list from TDMB discover with filter.

Requirements

You must use Python 3.x.

On Docker

To run Docker hub image

$ docker pull xbgmsharp/docker-trakt-tools
$ docker run -it --rm --name my-trakt-tools xbgmsharp/docker-trakt-tools python export_trakt.py -v
export_trakt.py 0.3

You might need to use the --privileged options on some case/

$ docker run --privileged -it --rm --name my-trakt-tools xbgmsharp/docker-trakt-tools python export_trakt.py -v
export_trakt.py 0.3

Create and edit default config

$ docker run -it --rm \
  --name my-trakt-tools \
  -v $(pwd):/trakt/export \
  -v $(pwd):/trakt/config \
  xbgmsharp/docker-trakt-tools \
  python export_trakt.py -c config/config.ini

Run export

$ docker run -it --rm \
  --name my-trakt-tools \
  -v $(pwd):/trakt/export \
  -v $(pwd):/trakt/config \
  xbgmsharp/docker-trakt-tools \
  python export_trakt.py -c config/config.ini -o export/export_movies_history.csv

my-trakt-tools is the container name.

xbgmsharp/docker-trakt-tools is the image name.

To build the image

$ docker build -t xbgmsharp/docker-trakt-tools .

To build the multi-arch image

$ ./multi-arch-docker-ci.sh

On Ubuntu/Debian Linux system

Ensure you are running Python 3

$ python -V
Python 3.5

Setup venv and install dependencies

python -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt

On Windows system

Download the installer: https://www.python.org/downloads/windows/

Ensure you are running Python 3

<python dir>>python.exe -V
Python 3.5

Setup venv and install dependencies

python -m venv .venv
.venv\Scripts\activate.bat
pip3 install -r requirements.txt

On macOS system

Download the installer: https://www.python.org/downloads/mac-osx/

Append to PATH in ZSH

$ path=('/Library/Frameworks/Python.framework/Versions/3.8/bin' $path)

Ensure you are running Python 3

$ python3 -V
Python 3.8.5

Run Install Certificates.command

$ pip3 install certifi

Open a new Terminal session so that certificates will be available

Setup venv and install dependencies

python -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt

Usage

• Create an Trakt.tv application to have your own client_id and client_secret, https://trakt.tv/oauth/applications. You only need to fill up the Name with a Description and Redirect uri to urn:ietf:wg:oauth:2.0:oob, leave the rest empty and click on SAVE APP.

• Run the script to create a default config file config.ini

$ python export_trakt.py

• Edit the config file config.ini and specify the client_id and client_secret as well as any other settings appropriate to your enviromenent, eg: URL, proxy, etc... Refer to Configuration details section for more information.

$ vim config.ini

• Run the script to authenticate against Trakt.tv API using the PIN method and it will generate an access_token and refresh_token. You will be prompted to open a link into a browser and paste the pincode back to the script. The generated access_token and refresh_token are automaticaly saved into the config file config.ini.

$ python export_trakt.py

Configuration

Configuration sample

[TRAKT]
client_id = xxxxxxxxxxxxxxxxxxxxxxxxx
client_secret = xxxxxxxxxxxxxxxxxxxxxx
access_token =
refresh_token =
baseurl = https://api-v2launch.trakt.tv
[SETTINGS]
proxy = False
proxy_host = https://127.0.0.1
proxy_port = 3128

Configuration details

• client_id: Uniq ID to identify your application, https://trakt.tv/oauth/applications
• client_secret: Uniq ID to identify your application, https://trakt.tv/oauth/applications
• access_token: Uniq ID to identify yourself against your application, manage by the script
• refresh_token: Uniq ID to identify yourself against your application, manage by the script
• baseurl: API base URL, depends on the platfrom, eg: Production (https://api-v2launch.trakt.tv) or Staging (https://api-staging.trakt.tv)
• proxy: True/False setting to enable proxy support
• proxy_host: Full URI of the proxy
• proxy_port: Port of the proxy to connect to

Developer documentation

$ pydoc `pwd`/import_trakt.py
$ pydoc `pwd`/export_trakt.py
$ pydoc `pwd`/sync_tmdb_trakt.py

Howto

Import

Import CSV into trakt.tv

Export

Export data from trakt.tv into CSV

Sync

Create trakt.tv list from TDMB discover with filter

Export data from Kodi

Export Movies or TVShows IDs from Kodi into CSV file format. Export data from Kodi

Export data from CouchPotato

Export Movies IDs from CouchPotato into CSV file format. Export data from CouchPotato

Support

To get support, please create new issue

Contribution

I'm happy to accept Pull Requests!

License

This script is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

See http://www.gnu.org/licenses/gpl.html.