1
Fork 0
mirror of https://github.com/thegeneralist01/archivr synced 2026-05-30 08:36:47 +02:00
archivr/docs/README.md
TheGeneralist 6304fdc26c
feat: add X Article archiving
* Add X Article archiving
* All TOML formats changed to JSON
2026-04-04 19:00:26 +02:00

116 lines
4 KiB
Markdown

# archivr
An open-source self-hosted archiving tool. Work in progress.
## Milestones
- [ ] Archiving
- [x] Archiving media files from social media platforms
- [x] YouTube Videos
- [x] Twitter Videos
- [x] Instagram
- [x] Facebook
- [x] TikTok
- [x] Reddit
- [x] Snapchat
- [ ] YouTube Posts (postponed)
- [x] Archiving local files
- [x] Archiving Twitter Tweets & Threads
- [ ] Archiving files from cloud storage services (Google Drive, Dropbox, OneDrive) and from URLs
- [ ] URLs
- [ ] Google Drive
- [ ] Dropbox
- [ ] OneDrive
- (Some of these could be postponed for later.)
- [ ] Archiving Twitter articles
- [ ] Archive web pages (HTML, CSS, JS, images)
- [ ] Archiving emails (???)
- [ ] Gmail
- [ ] Outlook
- [ ] Yahoo Mail
- [ ] Management
- [ ] Deduplication
- [ ] Tagging system
- [ ] Search functionality
- [ ] Categorization
- [ ] Metadata extraction and storage
- [ ] User Interface
- [ ] Web-based UI
- [ ] Backup and Sync
- [ ] Cloud backup (AWS S3, Google Cloud Storage)
- [ ] Local backup
## Motivation
There are two driving factors behind this project:
- In the age of information, all data is ephemeral. Social media platforms frequently delete content, and cloud storage services can become inaccessible and unreliable. Being able to archive important data is _very important_ for preserving personal memories and digital history.
- I will be creating a small encyclopedia for my future family and kids. Therefore, I want to make sure that all the information I gather is preserved and accessible for future reference.
This project aims to provide a reliable solution for archiving important data from various sources, ensuring that users can preserve their digital assets for the long term.
## Archive Inputs
`archivr archive <path>` currently accepts three kinds of inputs:
- Local files via `file://...`
- Direct platform URLs
- Platform shorthand inputs such as `tweet:...`, `yt:...`, or `instagram:...`
### Supported Platforms
- Local files: `file:///absolute/path/to/file.ext`
- YouTube media: standard video/short URLs, plus [shorthand video inputs](#supported-shorthand-inputs)
- X/Twitter media from Tweets: normal Tweet URLs or the `tweet:media:ID` shorthand
- X/Twitter Tweet content scrape: [Tweet and Thread shorthands](#supported-shorthand-inputs). (These are saved as JSON files in `raw_tweets/`)
- Instagram, Facebook, TikTok, Reddit, Snapchat: direct URLs or platform-prefixed shorthand passed through to `yt-dlp`
### Supported Shorthand Inputs
- YouTube video/short media:
- `yt:video/ID`
- `youtube:video/ID`
- `yt:short/ID`
- `yt:shorts/ID`
- `youtube:shorts/ID`
- X/Twitter tweet JSON content:
- `tweet:ID`
- `x:tweet:ID`
- `x:x:ID`
- `twitter:x:ID`
- `twitter:tweet:ID`
- X/Twitter media/video download:
- `tweet:media:ID`
- X/Twitter thread JSON content:
- `x:thread:ID`
- `twitter:thread:ID`
- Other platform shorthands:
- `instagram:ID`
- `facebook:ID`
- `tiktok:ID`
- `reddit:ID`
- `snapchat:ID`
### Environment Variables
- `ARCHIVR_YT_DLP`
- Optional.
- Overrides the `yt-dlp` binary used for YouTube, X media posts, Instagram, Facebook, TikTok, Reddit, and Snapchat downloads.
- `ARCHIVR_TWITTER_CREDENTIALS_FILE`
- Required for tweet/thread scraping inputs such as `tweet:ID` and `x:thread:ID`.
- Must point to a cookies file for the vendored scraper.
- `ARCHIVR_TWEET_SCRAPER`
- Optional.
- Overrides the tweet scraper script path. Default: `vendor/twitter/scrape_user_tweet_contents.py`.
- `ARCHIVR_TWEET_PYTHON`
- Optional.
- Overrides the Python executable used to run the tweet scraper. Default: `python3`.
### Current Limitations
- Arbitrary `http://` or `https://` pages are not archived yet unless they match one of the currently supported platforms above.
- Local files currently need to be passed as `file://...` paths.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE.md) file for details.