Star Trek TV episode database scraped from web sources and provided in JSON format. Films will be added at a later date.
This geek project is just for me to get familiar with Python web-scraping and provide data for API development.
All copyright to the 'Star Trek' name and data belongs to ViacomCBS.
All data in this project is mined live from the Wikipedia Star Trek page and associated subpages under the Fair Use principal.
The license below only applies to the SOURCE CODE.
This data is mined from Wikipedia and is therefore only as accurate as the source. It is also only as up-to-date as the last time I ran the scraper.
Note also that the site formatting changes (annoyingly) frequently and inconsistently, so the script may fail to run properly if the site has changed since the last update. I aim to keep the script up-to-date with any changes, but I can't guarantee doing this immediately. There are a few 'hacks' in the code to get around some of the formatting issues and I will be refactoring these shortly into better code.
Initially, I carried out the development of the scraper using Jupyter
Notebooks. These are deprecated and archived in the notebooks
folder.
I have migrated this base work into pure Python, where all further development will remain.
I am only scraping the TV series data, leaving film data until later iterations.
There are currently two stages of operation:
-
Scrape the main Wikipedia Star Trek page and create a JSON file containing Series names and metadata (number of seasons, number of episodes, etc.). This metadata will probably include a series summary and other data in future iterations (not necessarily from Wikipedia)
-
Take the JSON file created in the previous step, and dump the episode names for each series to a separate JSON file, with some Series metadata
A current version of the derived data is available in the output directory, valid as of 3rd September 2023.
This directory contains the following GENERATED files:
- The file star_trek_series_info.json lists info and links for each series. This file was previously required as input to the Stage 2 notebook but not needed for the current scripts. However, it does contain Series metadata that is useful when generating an API, for example.
- A Separate JSON file for each Star Trek series, 12 to date.
A tarball is included in the releases folder and attached to each GitHub release.
Clone or download the repository, install dependencies, then run the main script from the root of the created folder.
The project has been set up using Poetry to organize and install dependencies. If you have Poetry installed, simply run the following to install all that is needed.
poetry install
If you do not (or cannot) have Poetry installed, I have provided an
auto-generated requirements.txt
in the project root which you can use as
normal:
pip install -r requirements.txt
I definately recommend using Poetry if you can though, it makes dealing with updates and conflicts very easy.
If using poetry you now need to activate the VirtualEnv:
poetry shell
python generate_trek.py
The updated files will be created in the output folder, overwriting existing ones.
Star Trek: Prodigy
data is quite different and crashes again so has temporarily been disabled and will not be generated until I fix that.
- A list of Star Trek characters here can also be parsed and linked to the relevant series/season/episode data.
- Add a brief series and episode summary.