# YouTube Community Contributions Archiving Worker Discord ## This project is now complete, and we are working on sorting and finalizing the data. Thank you to everyone who contributed! Worker for the `Save Community Captions` project: Archiving unpublished YouTube community-contributions. [Lost? Click here to learn what this is all about!](https://github.com/Data-Horde/ytcc-archive/wiki/General-Information) ## Current Stats See how much has been archived so far. * https://atdash.meo.ws/d/attv2/archive-team-tracker-charts-v2?orgId=1&var-project=ext-yt-communitycontribs * https://tracker.archiveteam.org/ext-yt-communitycontribs/ ## Setup To run these tools you will need to supply session cookies (SSID,HSID,SID) [see the tutorial for more details](https://github.com/Data-Horde/ytcc-archive/wiki/Setup-Tutorial). ## Primary Usage ### Heroku⭐️⭐️⭐️ (Minimal Setup! Minimal Maintenance!) A wrapper repo for free and easy deployment and environment configuration, as well automatic updates every 24-27.6 hours is available. Deploy up to 5 instances of it to a free Heroku account (total max monthly runtime 550 hours) with no need for credit card verification by clicking the button below. [![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/Data-Horde/ytcc-archive-heroku) ### Archiving Worker⭐️ After completing the above setup steps, simply run ```bash python3 worker.py ``` ### Docker image⭐️⭐️ Stable Docker Image: ```bash docker pull fusl/ytcc-archive ``` Run: ```bash docker container run --restart=unless-stopped --network=host -d --tmpfs /grab/out --name=grab_ext-yt-communitycontribs -e HSID=XXX-e SID=XXX -e SSID=XXX -e TRACKER_USERNAME=Fusl -e PYTHONUNBUFFERED=1 fusl/ytcc-archive ``` ## Bonus Features ### Export Captions and Titles/Descriptions Manually This feature requires an [older version of `export.py`](https://github.com/Data-Horde/ytcc-archive/blob/4bbffa6dc3469832609b6e56ae926dcdf7e729ac/export.py). Get this file, Python 3, and the `requests` module (`pip install requests`). Then, simply run `python3 exporter.py` followed by a list of space-separated YouTube video IDs, and all community-contributed captioning and titles/descriptions in all languages will be exported. ### Discover Videos Manually Simply run `python3 discovery.py` followed by a list of space-separated YouTube video IDs and a list of discovered video, channel and playlist IDs will be printed, as well as whether caption contributions are enabled.